高剑波 - 北京师范大学 - 地理科学学部

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书高剑波等著，计算社会科学 ---- 大数据背后的社会行为足迹（已交科学出版社出版）。高剑波著，一带一路大数据定量分析 ---- 任务、挑战和解决方案（近期会由科学出版社出版） J. Holden, M. Riley, J.B. Gao and K. Torre, Fractal Analyses: Statistical and Methodological Innovations and Best Practices，e-Book, Frontiers, 2013. J.B. Gao, Y.H. Cao, W.W. Tung, and J. Hu, Multiscale Analysis of Complex Time Series --- Integration of Chaos and Random Fractal Theory, and Beyond, Wiley, August, 2007. 书中章节 J.N Blakely, N.J. Corron, S.D. Pethel, M.T. Stahl, J.B. Gao, Non-autonomous Boolean chaos in a driven ring oscillator Chapter 8, P153-168, in New Research Trends in Nonlinear circuits --- Design, chaotic Phenomena and Applications, Editors, I. Kyprianidis, I. Stouboulos and C. Volos, Nova Publishers (2014). J.B. Gao, J. Hu, and W.W. Tung, A unified theory for the multiscale analysis of complex time series. In Multiscale Signal Analysis and Modeling, Eds. X.P. Shen and A. I. Zayed, Springer, 221-231 (2013). J.B. Gao, Y.H. Cao, W.W. Tung, Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics. In Data Mining in Biomedicine (Springer Series in Optimization and Its Applications), 7, 321-337 (2007), Eds. P.M. Pardalos, V.L. Boginski, and A. Vazacopoulos. N.S.V. Rao, J.B. Gao, and L. Chua, On dynamics of transport protocols in wide-area Internet connections, in Complex Dynamics in Communication Networks, G. Vattay and L. Kocarev, eds., Springer-Verlag, 2005. 期刊文章高剑波，刘飞燕，张建方，信息熵在日益复杂的世界中的重要应用，中国传媒大学学报，第28卷，第2期，2021， 8-19. 胡启月、刘彬、高剑波，哈利波特系列电影的客观评价：基于台词情感自相似分形分析, 数字人文（Digital Humanities) （已接受） J.B Gao and B. Xu, Complex Systems, Emergence, and Multiscale Analysis: A Tutorial and Brief Survey, Appl. Sci. 2021, 11(12), 5736 https://doi.org/10.3390/app11125736 F.L. Zheng,L.P. Chen,J.B. Gao, andY. Zhao, Fully Quantum Modeling of Exciton Diffusion in Mesoscale Light Harvesting Systems,Materials 2021, 14(12), 3291 https://doi.org/10.3390/ma14123291 Q.Y. Hu, B. Liu, J.B. Gao, K.L. Nielbo, M.R. Thomsen, Fractal scaling laws for the dynamic evolution of sentiments in Never Let Me Go and their implications for writing, adaptation and reading of novels, World Wide Web Journal (in press). X.H. Sun, J.B. Gao, B. Liu, Z.Z. Wang,Big Data Based Assessment of Political Risk along the Belt and Road, Sustainability. 2021, 13, 3935. https://doi.org/10.3390/su13073935 F.Y. Liu, J.B. Gao and Y.F. Hou,Identifying Systemic Risks and Policy-InducedShocks in Stock Markets by Relative Entropy, Proceedings 2020, 46, 24; doi:10.3390/ecea-5-06689. J.B. Gao, Y.F. Hou, F.L. Fan, and F.Y. Liu,Complexity Changes in the US and China’s StockMarkets: Differences, Causes, and Wider SocialImplications, Entropy 2020, 22(1), 75; https://doi.org/10.3390/e22010075 Q. Li, J.B. Gao, Q. Huang, Y. Wu, B. Xu, Distinguishing Epileptiform Discharges from normal Electroencephalograms Using Scale-dependent Lyapunov Exponent. Frontiers in Bioengineering and Biotechnology,section Biomaterials 08 September 2020 | https://doi.org/10.3389/fbioe.2020.01006 Q. Li, J.B. Gao, Z.W. Zhang, Q. Huang, Y. Wu, B. Xu, Distinguishing Epileptiform Discharges from normal Electroencephalograms Using Adaptive Fractal and Network Analysis: A Clinical Perspective. Frontiers in Physiology Front. Physiol., 05 August 2020 —https://doi.org/10.3389/fphys.2020.00828. Q.Y. Hu, B. Liu, M.R. Thomsen, J.B. Gao, K.L. Nielbo, Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis, Digital Scholarship in the Humanities， 2020， doi:10.1093/llc/fqz092. M. Wevers，K. L. Nielbo，J.B. Gao，Tracking the Consumption Junction: Temporal Dependencies in Dutch Newspaper Articles and Advertisements.Digital Humanities Quarterly (accepted). J.B. Gao, P. Fang, L.H. Yuan, Analyses of geographical observations in the HeiheRiver Basin: Perspectives from complexity theory, J. Geogr. Sci. 2019, 29(9): 1441-1461. B. Liu and J.B. Gao, Understanding the non-Gaussian distribution of revealed comparative advantage index and its alternatives, International Economics, 2019 (in press). K.L. Nielbo, K.F. Baunvig, B. Liu, J.B. Gao, A curious case of entropic decay: Persistent complexity in textual cultural heritage, Digital Scholarship in the Humanities, 2018 J.B. Gao, B. Liu, and M.L. Ma, Reducing Risks of Overseas High-Speed Rail Investment Through Big Data Analysis, PRIVATE EQUITY REVIEW, NOV 2018, VOL 4 25-31. S. Shen, S.J. Ye, C.X. Cheng, C.Q. Song, J.B. Gao, J. Yang, L.X. Ning, K. Su, and T. Zhang, Persistence and Corresponding Time Scales of Soil Moisture Dynamics During Summer in the Babao River Basin, Northwest China. Journal of Geophysical Research: Atmospheres, 2018, 10.1029/2018JD028414. Y.F. Hou, F.Y. Liu, J.B. Gao, C.X. Chen and C.Q. Song, Characterizing complexity changes in Chinese stock markets by permutation entropy. Entropy 2017, 19, 514. J.B. Gao, P. Fang and F.Y. Liu, Empirical scaling law connecting persistence and severity of global terrorism Physica A 482 (2017) 74-86. X-Z Li, J-P Zhuang, S-S Li, J.B Gao, and S.C. Chan, Randomness evaluation for an optically injected chaotic semiconductor laser by attractor reconstruction. Phys Rev E 94, 042214 (2016). F.Y. Liu, Y. Liu, J.B. Gao, J.F. Zhang, Food safety incidents in Beijing: patterns, causes and wider social implications. Palgrave Communications, 2015, DOI: 10.1057/palcomms.2015.29. J.B. Gao, J. Hu, F.Y Liu, and Y.H. Cao, Multiscale entropy analysis of biological signals: a fundamental bi-scaling law. Frontiers in Computational Neuroscience 2015, Volume 9, Article 64. J.B. Gao and Y.H. Cao, Characterizing the stability of Okun?law during economic recessions by cross recurrence plot and rolling regression. Journal of Contemporary Management 2015, Article ID: 1929-0128-2015-03-01-12. F.L. Fan, J.B. Gao, and S.H. Liang, Crisis-like behavior in China’s stock market and its interpretation. PLoS ONE 10(2): e0117209. doi:10.1371/journal.pone.0117209 (2015). Y. Liu, F.Y. Liu, J.F. Zhang, and J.B. Gao, Insights into the nature of food safety issues in Beijing through content analysis of an Internet database of food safety incidents in China. Food Control 206 –211 (2015). H.B. Zhu and J.B. Gao, Fractal behavior in the headway fluctuation simulated by the NaSch model. Physica A 398, 187-193 (2014). J.B. Gao and J. Hu, Financial crisis, Omori’s law, and negative entropy flow. International Review of Financial Analysis 33 79-86 (2014). J. Hu and J.B. Gao, Multiscale characterization of sea clutter by scale-dependent Lyapunov exponent. Mathematical Problems in Engineering (special issue on Advanced Topics in Dynamics of Complex Systems) http://dx.doi.org/10.1155/2013/584252 (2013). 2. X.M. Yu, J.K. Ye, J. Hu, X.P. Liao, and J.B. Gao, Fractal behavior in the clarification process of cane sugar production Mathematical Problems in Engineering (special issue on Chaos-Fractals Theories and Applications) http://dx.doi.org/10.1155/2013/868313 (2013). J. Hu, Y. Zheng, and J.B. Gao, Long-range temporal correlations, multifractality, and the causal relation between neural inputs and movements. Frontiers in Neurology. October 2013 Volume 4 Article 158. J.B. Gao and J. Hu, Fast monitoring of epileptic seizures using recurrence time statistics of electroencephalography. Frontiers in Computational NeuroScience October 2013 Volume 7 Article 122. J.B. Gao, F.Y. Liu, J.F. Zhang, J. Hu, Y.H. Cao, Information entropy as a basic building block of complexity theory. Entropy 2013, 15(9), 3396-3418; doi:10.3390/e15093396. J.B. Gao, Complex systems and emergence: How theory meets reality. Advances in Mechanics. V43, 359-389 (2013). M.Q. Jiang, G. Wilde, J.B. Gao, and L.H. Dai, A universal power law for metallic glasses. Scripta Materialia 69 (2013) 760?63. J.B. Gao, B.M. Gurbaxani, J. Hu, K.J. Heilman, V.A. Emauele, G.F. Lewis, M. Davila, E.R. Unger, J.S. Lin, Multiscale analysis of heart rate variability in nonstationary environments. Frontiers in Computational Physiology and Medicine May 30, 2013, doi: 10.3389/fphys.2013.00119. M. Bowers, J.B. Gao, and W.W. Tung, Long-Range Correlations in Tree Ring Chronologies of the USA: Variation Within and Across Species. Geophysical Research Letters 40, 568-572 (2013) DOI: 10.1029/2012GL054011. J.B. Gao, Q. Han, X.L. Lu, L. Yang, J. Hu, Self organized hotspots and social tomography. Complex Systems 2013, doi: http://eudl.eu/doi/10.4108/trans.cs.1.2.e1. J.G. Holden, M.A. Riley, J.B. Gao, and K. Torre, Fractal analyses: statistical and methodological innovations and best practices. Front Physiol. 4: 97 (2013). doi: 10.3389/fphys.2013.00097. M.A. Riley, N. Kuznetsov, S. Bonnette, S. Wallot, J.B. Gao, A Tutorial Introduction to Adaptive Fractal Analysis. Frontiers in Fractal Physiology 28 September, 2012 doi: 10.3389/fphys.2012.00371. N. Kuznetsov, S. Bonnette, J.B. Gao, M.A. Riley, Adaptive fractal analysis reveals limits to fractal scaling in center of pressure trajectories, Annals of Biomedical Engineering, 2012, DOI 10.1007/s10439-012-0646-9. M.C. Bowers, W.W. Tung, J.B. Gao, On the distributions of seasonal river flows: lognormal or powerlaw? Water Resources Research VOL. 48, W05536, doi:10.1029/2011WR011308, 2012. J.B. Gao, J. Hu, X. Mao, M. Perc, Culturomics meets random fractal theory: Insights into long-range correlations of social and natural phenomena over the past two centuries. J. Royal Society Interface, 2012, doi:10.1098/rsif.2011.0846. J.B. Gao, J. Hu, W.W. Tung, E. Blasch, Multiscale analysis of physiological data by scale-dependent Lyapunov exponent. Frontiers in Fractal Physiology January 2012, doi: 10.3389/fphys.2011.00110.. J.B. Gao, J. Hu, W.W. Tung, Entropy measures for biological signal analysis. Nonlinear Dynamics 68, 431-444. DOI 10.1007/s11071-011-0281-2 (2012). J.B. Gao, J.Hu, X. Mao, and W.W. Tung, Detecting low-dimensional chaos by the “noise titration” technique: possible problems and remedies. Chaos, Solitons, & Fractals 45, 213 - 223 (2012) . J.B. Gao, J. Hu, X. Mao, M. Zhou, B. Gurbaxani, J.W.-B. Lin, Entropies of negative incomes, Paretodistributed loss, and financial crises. PLoS ONE 6(10): e25053. doi:10.1371/journal.pone.0025053 (2011). J.B. Gao, J. Hu, T. Buckley, K. White, C. Hass, Shannon and Renyi Entropies To Classify Effects of Mild Traumatic Brain Injury on Postural Sway. PLoS ONE 6(9): e24446. doi:10.1371/journal.pone.0024446 (2011). J.B. Gao, J. Hu,W.W. Tung, Facilitating joint chaos and fractal analysis of biosignals through nonlinear adaptive filtering. PLoS ONE 6(9): e24331. doi:10.1371/journal.pone.0024331 (2011). J.B. Gao, J.Hu, W.W. Tung, and Y. Zheng, Multiscale analysis of economic time series by scaledependent Lyapunov exponent. Quantitative Finance DOI:10.1080/14697688.2011.580774 (2013). J.B. Gao, J.Hu, andW.W. Tung, Complexity measures of brain wave dynamics, Cognitive Neurodynamics 5, 171-182 (2011). W.W. Tung, J.B. Gao, J. Hu, L. Yang, Recovering chaotic signals in heavy noise environments. Phys. Rev. E 83, 046210 (2011). M.Q. Jiang, Z. Ling, J.X. Meng, J.B. Gao, L.H. Dai, Nanoscale periodic corrugation to dimple transition due to “beat” in a bulk metallic glass Scripta Materialia 62 (8), 572 - 575. M.Q. Jiang, J.X. Meng, J.B. Gao, X.L. Wang, T. Rouxel, V. Keryvin, Z. Ling, L.H. Dai, Fractal in fracture of bulk metallic glass, Intermetallics 18, 2468-2471 (2010). J.B. Gao, H. Sult an, J. Hu, and W.W. Tung, Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: a comparison. IEEE Signal Processing Letters 17, 237-240 (2010). J. Hu, J.B. Gao, W.W. Tung, and Y.H. Cao, Multiscale analysis of heart rate variability: a comparison of different complexity measures. Annals of Biomedical Engineering 38, 854-864 (2010). J.B. Gao, W.W. Tung, and J. Hu, Quantifying dynamical predictability: the pseudo-ensemble approach (in honor of Professor Andrew Majda’s 60th birthday) Chinese Annals. Math. Series B 30, 569-588 (2009). J. Hu, J.B. Gao, and W.W. Tung, Characterizing heart rate variability by scale-dependent Lyapunov exponent, Chaos (special issue on Controversial Topics in Nonlinear Science: Is the Normal Heart Rate Chaotic?; it is one of the most downloaded papers in that issue) 19, 028506 (2009). J. Hu, J.B. Gao, and X.S. Wang, Multifractal analysis of sunspot time series: the effects of the 11-year cycle and Fourier truncation, J. Statistical Mech. 2009/02/P02066. J. Hu,W.W. Tung, and J.B. Gao, A new way to model non-stationary sea clutter, IEEE Signal Processing Letters 16, 129-132 (2009). W.W. Tung, J. Hu, J.B. Gao, and V.J. Billock, Diffusion, Intermittency, and Noise-sustained Metastable Chaos in the Lorenz Equations: Effects of noise on multistability. Int. J. Bifurcations & Chaos (theme issue Multistability in Dynamical Systems) 18, 1749-1758 (2008). J. Hu, J.M. Lee, J.B. Gao, K.D. White, and B. Crosson, Assessing a signal model and identifying brain activity from fMRI data by a detrending-based fractal analysis. Brain Structure and Function, 212, 417-426 (2008). J.M. Lee, J. Hu, J.B. Gao, B. Crosson, K.K. Peck, C.E. Wierenga, K.M. McGregor, Q. Zhao, and K.D. White, Discriminating brain activity from task-related artifacts in functional MRI: Fractal scaling analysis simulation and application. NeuroImage, 40, 197-212 (2008). J. Hu, J.B. Gao, Y.H. Cao, E. Bottinger, and W.J. Zhang, Exploiting noise in array CGH data to improve detection of DNA copy number change. Nucleic Acids Research 35, e35 (2007). J. Hu, J.B. Gao, and J.C. Principe, Analysis of biomedical signals by the Lempel-Ziv complexity: the effect of finite data size. IEEE Trans. on Biomedical Engineering 53 2606-2609, (2006). J.B. Gao, J. Hu, W.W. Tung, Y.H. Cao, Distinguishing chaos from noise by scale-dependent Lyapunov exponent. Phys. Rev. E 74, 066204 (2006). J. Hu, J.B. Gao, F.L. Posner, Y. Zheng, andW.W. Tung, Target detection within sea clutter: a comparative study by fractal scaling analyses. Fractals 14, 187-204 (2006). X.S. Wang, J. Hu and J.B. Gao, Nonlinear dynamics of regenerative cutting processes - comparison of two models. Chaos, Solitons, & Fractals 29, 12191228 (2006). J.B. Gao, V.A. Billock, I. Merk, W.W. Tung, K.D. White, J.G. Harris, V.P. Roychowdhury, Inertia and memory in ambiguous visual perception, Cognitive Processing 7, 105-112 (2006). J.B. Gao, J. Hu, W.W. Tung, Y.H. Cao, N. Sarshar, V. P. Roychowdhury, Assessment of long range correlation in time series: How to avoid pitfalls. Phys. Rev. E 73, 016117 (2006). J. Hu, W.W. Tung, and J.B. Gao, Detection of low observable targets within sea clutter by structure function based multifractal analysis. IEEE Trans. Antennas & Propagation 54, 135-143 (2006). J. Hu, W.W. Tung, J.B. Gao, Y.H. Cao, Reliability of the 0-1 test for chaos, Phys. Rev. E 72, 056207 (2005). J.B. Gao, Y.H. Cao, Y. Qi, and J. Hu, Building innovative representations of DNA sequences to facilitate gene finding, IEEE Intelligent Systems Nov/Dec, 34-39 (2005) (special issue on Data Mining for Bioinformatics). Y. Zheng, J.B. Gao, J.C. Sanchez, J.C. Principe, and M.S. Okun, Multiplicative multifractal modeling and discrimination of human neuronal activity. Phys. Lett. A 344, 253-264 (2005). J.B. Gao, N.S.V. Rao, J. Hu, and A. Jing, Quasi-periodic route to chaos in the dynamics of Internet transport protocols. Phys. Rev. Lett. 94, 198702 (2005). J. Han, J.B. Gao, Y. Qi, P. Jonker, and J.A.S. Fortes, Towards hardware-redundant fault-tolerant logic for nanoelectronics. IEEE Design & Test of Computers (special issue) 22, 328-339 (2005). J.B. Gao, W.W. Tung, Y.H. Cao, J. Hu, and Y. Qi, Power-law sensitivity to initial conditions in a time series with applications to epileptic seizure detection. Physica A 353, 613-624 (2005). J.B. Gao, Y. Qi, and J.A.B. Fortes, Bifurcations and Fundamental Error Bounds for Fault-Tolerant Computations. IEEE Tran. Nanotech 4, 395-402 (2005). Y.H. Cao, W.W. Tung, J.B. Gao, and Y. Qi, Recurrence time statistics: Versatile tools for genomic DNA sequence analysis. Journal of Bioinformatics and Computational Biology 3, 677-696 (2005). Y. Qi, J.B. Gao, and J.A.B. Fortes, “Markov Chain and probabilistic computation: A General Framework for Fault-Tolerant System Architectures for Nanoelectronics”, IEEE Tran. Nanotech 4, 194-205 (2005). Yinhe Cao, Wen-wen Tung, J.B. Gao, V.A. Protopopescu, and L.M. Hively, Detecting dynamical changes in time series using the permutation entropy. Phys. Rev. E 70, 046217 (2004) (selected for the November 1, 2004 issue of Virtual Journal of Biological Physics Research: http://www.vjbio.org). J.B. Gao and N.S.V. Rao, “Complicated Dynamics of Internet Transport Protocols”, IEEE Commun. Lett 9, 4-6 (2005). Jianbo Gao, Yan Qi, Yinhe Cao, and Wen-wen Tung, “Protein coding sequence identification by simultaneously characterizing the periodic and random features of DNA sequences”, Special issue, Journal of biomedicine and biotechnology 2005, issue 2, 139-146 (2005). W.W. Tung, Y. Qi, J.B. Gao, Y.H. Cao, and L. Billings, Direct characterization of chaotic and stochastic dynamics in a population model with strong periodicity. Chaos, Solitons, & Fractals 24 645-652 (2005). Y.H. Zhou, J.B. Gao, K.D. White, I. Merk, and K. Yao, Perceptual Dominance Time Distributions in Multistable Visual Perception. Biological Cybernetics 90, 256-263 (2004). J.B. Gao, Analysis of Amplitude and Frequency Variations of Essential and Parkinsonian Tremors. Medical and Biological Engineering and Computing 52, 345-349 (2004). W.W. Tung, M.W. Moncrief, and J.B. Gao, A systemic view of the multiscale tropical deep convective variability over the tropical western-Pacific warm pool. J. Climate 17, 2736-2751 (2004). Jing Hu, J.B. Gao, and K.D. White, Estimating measurement noise in a time series by exploiting nonstationarity. Chaos, Solitons, & Fractals 22, 807-819 (2004). J.B. Gao, Yinhe Cao, Lingyun Gu, J.G. Harris, and J.C. Principe, Detection of Weak Transitions in Signal Dynamics Using Recurrence Time Statistics, Phys. Lett. A, 317, 64-72 (2003). J.B. Gao, Yinhe Cao, and Jae-Min Lee, Principal Component Analysis of 1=f_ Noise, Phys. Lett. A, 314, 392-400 (2003). J.B. Gao and I. Rubin, “Analysis of Random Access Protocol under Long-Range-Dependent Traffic”, IEEE Tran. on Vehicular Tech., V52, No.3, 693-700 (2003). J.B. Gao,Wen-wen Tung, and Nageswara Rao, Noise Induced Hopf Bifurcation-like Sequence to Chaos in the Lorenz Equations, Phys. Rev. Lett., 89, 254101 (2002). J.B. Gao and W.W. Tung, “Pathological tremors as diffusional processes”, Biological Cybernetics, 86, 263-270 (2002). J.B. Gao and I. Rubin, Multiplicative multifractal modeling of Long-Range-Dependent network traffic, Int. J. Comm. Systems, 14, 783-201 (2001). J.B. Gao and I. Rubin, “Multiplicative Multifractal Modeling of Long-Range-Dependent (LRD ) Traffic in Computer Communications Networks”, Nonlinear Analysis, 47, 5765-5774 (2001). J.B. Gao and I. Rubin, Multifractal modeling of counting processes of Long-Range-Dependent network Traffic, Computer Communications, 24, 1400-1410 (2001). J.B. Gao, “Detecting nonstationarity and state transitions in a time series”, Phys. Rev. E, 63, 066202-1-8 (2001). J.B. Gao and I. Rubin, “Analysis of Random Access Protocol under Bursty Traffic”, Lect Notes Comput Sci, 2216 71-84 (2001). J.B. Gao and H.Q. Cai, On the structures and quantification of recurrence plots. Phys. Lett. A, 270, 75-87 (2000). J.B. Gao and I. Rubin, “Superposition of multiplicative multifractal traffic processes”, Electronics Lett., 36: 761-762 (2000). J.B. Gao and I. Rubin, “Multifractal analysis and modeling of VBR video traffic”, Electronics Lett., 36: 278-279 (2000). J.B. Gao and I. Rubin, “Statistical Properties of Multiplicative Multifractal Processes in Modeling Telecommunications Traffic Streams”, Electronics Lett., 36, 101 (2000). K. Hwang, J.B. Gao, J.M. Liu, “Noise-induced chaos in an optically injected semiconductor laser”, Phys. Rev. E, 61: 5162-5170 (2000). J.B. Gao, C.C. Chen, S.K. Hwang, and J.M. Liu (invited paper), “Noise-Induced Chaos”, Int. J. Mod. Phys. B, 13, 3283 (1999). J.B. Gao, Recurrence time statistics for chaotic systems and their applications, Phys. Rev. Lett., 83, 3178 (1999). J.B. Gao, S.K. Hwang, and J.M. Liu, When can noise induce chaos?, Phys. Rev. Lett., 82, 1132 (1999). J.B. Gao, S.K. Hwang, and J.M. Liu, “Effects of intrinsic spontaneous- emission noise on the nonlinear dynamics of an optically injected semiconductor laser”, Phys. Rev. A, 59, 1582 (1999). S. Legg, J. McWilliams and J.B. Gao, Localization of deep ocean convection by a mesoscale eddy, J. Phys. Oceanography, 28, 944 (1998). J.B. Gao, Recognizing randomness in a time series, Physica D, 106, 49 (1997). J.B. Gao and Z.M. Zheng, Direct dynamical test for deterministic chaos and optimal embedding of a chaotic time series, Phys. Rev. E, 49, 3807 (1994). J.B. Gao and Z.M. Zheng, Direct dynamical test for deterministic chaos, Europhys. Lett., 25, 485 (1994). J.B. Gao and Z.M. Zheng, Local exponential divergence plot and optimal embedding of a chaotic time series, Phys. Lett. A, 181, 153 (1993). Z.B. Lin, X. Er, J.B. Gao, A study on the chaotic motion in the low Reynolds number wake behind a cylinder. Science in China (Series A) 23, 277 (1993). 会议文章 Q. Li, Z.W. Zhang, Q. Huang, Y. Wu and J.B. Gao, Identification of epileptic discharge based on statistical analysis and fractal analysis, BESC October 28-30, 2019 , Beijing, China. Q.Y. Hu, B. Liu, M. Thomsen, J.B. Gao and K. Nielbo, Title: Dynamic evolution of sentiments in Never Let Me Go: insights from quantitative analysis and implications.BESC October 28-30, 2019 , Beijing, China (Best Paper award). Kaiyun Dai, Menglan Ma and Jianbo Gao, Sentiment dynamics of The Chronicles of Narnia and their ranking, SBP-BRiMS 2018, Washington DC (accepted). M.L. Ma, P. Fang, J.B Gao and C.Q. Song, Does ideology affect the tone of international news coverage? The 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2017) Cracow - POLAND, 16-18 October, 2017 (Best Paper award). Y.F. Hou, J.B. Gao, F.Y. Liu, F.L. Fan, C.Q. Song, Identifying Herding effect in Chinese stock market by High-frequency data. BESC 2017, Cracow - POLAND, 16-18 October, 2017 (Best Paper award). C.N. Zhou, F.Y. Liu and J.B. Gao, Bayesian Poisson Tensor Factorization for feature selection from GDELT. BESC 2017, Cracow - POLAND, 16-18 October, 2017. A. Kustubayeva, H. Zheng, J.B. Gao, J. Eliassen, and E. Nelson, Brain Complexity Changes during Stress Task in Patients with Major Depressive Disorder, 72nd Annual Scientific Convention and Meeting of the Society-of-Biological-Psychiatry, San Diego, CA, MAY, 18-20, 2017, BIOLOGICAL PSYCHIATRY, Supplement: Pages:S195-S195, Meeting Abstract: 479. J.B. Gao, M.L. Jockers, J. Laudun, T. Tangherlini, A multiscale theory for the dynamical evolution of sentiment in novels. International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC’2016). November 11-13, 2016, Duke University, Durham, NC, USA. S. Bi, J.B. Gao, Y.D. Wang and Yinhe Cao, A contrast of the degree of activity among the three major powers: insights from media reports. The 2nd International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC’2015). October 30 - November 1, 2015, Nanjing, China. W.S. Wang, J. Wang,J.B. Gao, Dynamical evolution of an Internet social network: a case study on an event of protecting plane trees in Nanjing, China. BESC’2015. X.Z. Li, S.S. Li, J.P. Zhuang, J.B. Gao, S.C. Chan, Feedback Delay Identification by Time-Dependent Exponent Evaluation for a Chaotic Semiconductor Laser?Frontiers in Optics/Laser Science Conference (FiO/LS), San Jose, California, USA , October 18 - 22, 2015. J.B. Gao, K. Leetaru, J. Hu, C. Cioffi-Revilla, P. Schrodt, Massive media event data analysis to assess world-wide political conflict and instability. The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013), April 2-5, 2013, Washington, D.C. J.B. Gao, J. Hu, Financial crisis, Omori’s law, and negative entropy flow, SBP 2013, April 2-5, 2013, Washington, D.C. J.B. Gao, Q. Chen, E. Blasch, Image denoising in the presence of non-Gaussian, power-law noise. IEEE NAECON, Dayton, OH, USA, 25-27, July, 2012. J.B. Gao, E. Blasch, Quantitative culturomics using random fractal theory. IEEE NAECON, Dayton, OH, USA, 25-27, July, 2012. J.B. Gao, W.W. Tung, E. Blasch, Multiscale analysis to facilitate joint chaos and fractal analysis of biosignals. IEEE NAECON, Dayton, OH, USA, 25-27, July, 2012. J.B. Gao, J. Hu, E. Blasch, Defending against Internet worms using phase space and recurrence time methods from chaos theory. IEEE NAECON, Dayton, OH, USA, 25-27, July, 2012. E. Blasch, J.B. Gao, W.W. Tung, Chaos-based Image Assessment for THz Imagery. ISSPA, Montreal (Quebec), Canada, 3-5, July, 2012. J.B. Gao, Y.Zheng, J. Hu, Long-range temporal correlations, multifractality, and the causal relation between neural inputs and movements, Proceedings of the 4th Annual Dynamic Systems and Control Conference (DSCC’11), Arlington, VA, USA, Oct 31 - Nov 2, 2011. J.B. Gao, J. Hu, W.W. Tung, Facilitating joint chaos and fractal analysis of biosignals through nonlinear adaptive filtering, DSCC’11, Arlington, VA, USA, Oct 31 - Nov 2, 2011. J.B. Gao, J. Hu,W.W. Tung, Multiscale Analysis of Biological Signals, DSCC’11, Arlington, VA, USA, Oct 31 - Nov 2, 2011. J.B. Gao, J. Hu, Fast monitoring of epileptic seizures based on recurrence time analysis of EEGs, DSCC’ 11, Arlington, VA, USA, Oct 31 - Nov 2, 2011. YC Wang, J Gao, WW Tung, On the multiscale dynamics of tropical rainfall. 14th Conference on Mesoscale Processes J.B. Gao, J. Hu, W.W. Tung, Nonlinear adaptive detrending, denoising, and decomposition of complex multiscale signals. 16th US National Congress on Theoretical and Applied Mechanics (USNCTAM), June 27 - July 2, 2010, Pennsylvania State University in University Park, PA. J.B. Gao, J. Hu, W.W. Tung, Multiscale Analysis of Biological Signals. 16th USNCTAM. J.B. Gao, J. Hu, T. Buckley, K. White, C. Hass, Classifying the Effects of Mild Traumatic Brain Injury on Postural Sway by Scale-Dependent Lyapunov Exponent. 16th USNCTAM. J.B. Gao, Long-Range Temporal Correlations, Multifractality, and the Causal Relation Between Neural Inputs and Movements. 16th USNCTAM. J.B. Gao, H.B. Dong, F. Schauer, J. Hoke, Understanding the nonlinear dynamics of cycle-to-cycle combustion variability, DCASS (Dayton-Cincinnati AIAA), March 6, 2010. J.B. Gao, H.B. Dong, Z. Gaston, Exploiting dragonfly and damselfly’s complex flight trajectory for quad-winged MAVs. DCASS (Dayton-Cincinnati AIAA), March 6, 2010. J. Hu, W.W. Tung, J.B. Gao, E. Blasch, G.S. Chen, Multiscale modeling of sea clutter to facilitate detection of low observable targets within sea clutter, SPIE Defense & Security Symposium, April 13-17, 2009, Orlando, FL. J.B. Gao, J.Hu, X.S.Wang,W.W. Tung, J.C. Principe, J.C. Sackellares, Real-time monitoring of epileptic seizures through recurrence time analysis of EEGs. The 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE2008), May 16-18, Shanghai, China. J.Hu, J.B. Gao, W.W. Tung, X.S. Wang, Y.H. Hu, Y.H. Cao, Distinguishing healthy subjects from patients with congestive heart failure using scale-dependent Lyapunov exponent. The 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE2008), May 16-18, Shanghai, China. W.W. Tung, J.Hu, J.B. Gao, R. S. Lynch, and G.S. Chen, On modeling sea clutter by noisy chaotic dynamics, SPIE Defense & Security Symposium, March 16-20, 2008, Orlando, FL. J.Hu, W.W. Tung, J.B. Gao, R. S. Lynch, and G.S. Chen, On modeling sea clutter by diffusive models, SPIE Defense & Security Symposium, March 16-20, 2008, Orlando, FL. J. Hu, J.B. Gao, R. S. Lynch, and G.S. Chen, Multiscale modeling approach for detecting low observable targets within sea clutter. Proc. of IEEE Aerospace Conference March 2008, Big Sky, Montana. J. Hu, J.B. Gao, and N.S.V. Rao, Defending against Internet worms using a phase space method from chaos theory. SPIE Defense & Security Symposium, April 9-13, 2007, Orlando, FL, USA. J. Hu, J.B. Gao, Y.H. Cao, and W.J. Zhang, Detection of gene copy number change in array CGH data. IEEE/NLM LSSA06, July 13-14, 2006, Bethesda, MD, USA. J. Hu, J.B. Gao, and Y.H. Cao, Multiscale analysis of heart rate variability. IEEE/NLM LSSA06, July 13-14, 2006, Bethesda, MD, USA. J. Hu, J.M. Lee, J.B. Gao, K.D. White, and B. Crosson, Identification of brain activity from fMRI data: comparison of three fractal scaling analyses. IEEE/NLM LSSA06, July 13-14, 2006, Bethesda, MD, USA. J.M. Lee, Q. Zhao, J.B. Gao, and K.D. White, ”fMRI quality assurance using phase space reconstruction of SmartPhantom simulation of BOLD contrast”, International Society for Magnetic Resonance in Medicine (ISMRM) 14th Scientific Meeting & Exhibition, 6-12 May, 2006, Seattle, Washington, USA. J. Hu and J.B. Gao, ”Modeling sea clutter as a nonstationary and nonextensive random process”, IEEE 2006 International Radar Conference, April 24-27, 2006, Verona, NY USA. J. Han, E. Taylor, J. Gao and J.A.B. Fortes, Reliability Modeling of Nanoelectronic Circuits, Proc. IEEE-NANO 2005, IEEE Conference on Nanotechnology, July, 2005, Nagoya, Japan. J. Han, E. Taylor, J. Gao and J.A.B. Fortes, Faults, Error Bounds and Reliability of Nanoelectronic Circuits, Proc. IEEE ASAP 2005, IEEE 16th International Conference on Application-specific Systems, Architectures and Processors, July 23-25, 2005, Samos, Greece. X.S. Wang, J. Hu and J.B. Gao, Nonlinear Dynamics of Regenerative Cutting Processes – Comparison of Two Models. Int. Conf. on Control & Auto., June 27-28, 2005, Budapest, Hungary, pp. 667-672. J.B. Gao, Y.H. Cao, and J. Hu, “Recurrence Time Distribution, Renyi Entropy, and Pattern Discovery”, Conference on Information Sciences and Systems (CISS’05), Johns Hopkins University, Baltimore, MD, March 16-18, 2005. J.B. Gao, J. Hu, Y.H. Cao, Y. Qi, andWen-wen Tung, “Large scale signal and information processing by simultaneous characterization of randomness and structures”, Conference on Information Sciences and Systems (CISS’05), Johns Hopkins University, Baltimore, MD, March 16-18, 2005. J.M. Lee, J. Hu, J.B. Gao, K.D. White, B. Crosson, C. Wierenga, K. McGregor, and K.K. Peck, “Identification of brain activity by fractal scaling analysis of functional MRI Data”, ICASSP’05, March 18-23, 2005, Philadelphia, PA, USA. J. Hu, J.B. Gao, K. Yao and U.S. Kim, “Detection of low observable targets within sea clutter by structure function based multifractal analysis”, ICASSP’05, March 18-23, 2005, Philadelphia, PA, USA. Y. Zheng, J.B. Gao, K. Yao, “Multiplicative Multifractal Modeling of Sea Clutter for Object Detection”, IEEE 2005 International Radar Conference, May 9-12, 2005, Arlington, Virginia, USA. J. Hu, J.B. Gao, and K. Yao, “Power-Law Sensitivity to Initial Conditions in Sea Clutter” IEEE 2005 International Radar Conference, May 9-12, 2005, Arlington, Virginia, USA. J.B. Gao, Y. Qi, Y.H. Cao, and W.W. Tung, “Novel unsupervised methods for identifying protein coding sequence from genomic DNA sequences” Conference on Systems Analysis, Data Mining and Optimization in Biomedicine, February 2-4, 2005, University of Florida, Gainesville, FL, USA. K. Yao and J.B. Gao, “Two Statistical Methods for Modeling Wireless Fading and Radar Sea Clutter Phenomena”, to be presented at Conference of Mathematics in Signal Processing VI, the Institute of Mathematics and its applications (IMA), 14 - 16 December 2004, UK. W Tung, MW Moncrieff, J Gao, A systemic analysis of multiscale convective variability in the tropics. 26th Conference on Hurricanes and Tropical Meteorology, 2004. H Liu, KE Hild, JB Gao, D Erdogmus, JC Prhncipe, JC Sackellares, Evaluation of a BSS algorithm for artifacts rejection in epileptic seizure detection Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2004), San Francisco, CA, September 1-5, 2004. H. Liu, J. B. Gao, K. E. Hild, J.C. Principe, J. C. Sackellares, “Epileptic Seizure Detection from ECoG Using Recurrence time Statistics”, Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2004), San Francisco, CA, September 1-5, 2004. Y.H. Cao, W.-w. Tung, and J.B. Gao, “Recurrence time statistics: Versatile tools for genomic DNA sequence analysis”, The Computational Systems Bioinformatics Conference (CSB2004), Stanford, CA, August 16-19, 2004. Yan Qi, Jianbo Gao, Yinhe Cao, andWen-wen Tung, Deriving a novel codon index by combining period-3 and fractal features of DNA sequences, The Computational Systems Bioinformatics Conference (CSB2004), Stanford, CA, August 16-19, 2004. Jianbo Gao, Jesse Bridgewater, and Vwani P. Roychowdhury Synchronized Oscillations and Chaos in Coupled Genetic Repressilators, The Computational Systems Bioinformatics Conference (CSB2004), Stanford, CA, August 16-19, 2004. J.B. Gao, Y.H. Cao, and W.-w. Tung, “Multifractal and recurrence time based methods for DNA sequence analysis”, Conference on Data Mining in Biomedicine, February 16-18, 2004, University of Florida, Gainesville, FL. J.B. Gao and Y.H. Cao, “Novel nonlinear methods for genomic DNA sequence analysis”, poster in Sixth Annual Winter Workshop: Data Mining, Statistical Learning, and Bioinformatics, January 8-10, 2004, University of Florida, Gainesville, FL. WW Tung, JB Gao, Multifractal features of deep convection over the tropical western pacific. EGSAGU-EUG Joint Assembly 1, 710, 2003. K.D. White, J.B. Gao, and Y.H. Zhou, “Fractal statistics of perceptual switching time series”, Vision Science and Society Conference 2003, May 9-14, Sarasota, FL, USA (abstract appeared in J. Vision). A. Hegde, D. Erdogmus, Y. Rao, J. Principe, J.B. Gao, “SOM-based similarity index measure: Quantifying interactions between multivariate structures,” 2003 IEEE Intl. Work. on Neural Networks for Signal Processing, September 17-19, 2003, Toulouse, France. L.Y. Gu, J.B.Gao, and J. Harris, “Speech Endpoint detection in noisy environments using a Poincare recurrence metric”, ICASSP 2003, Hong Kang, April. J.B. Gao and W.W. Tung, The nature of essential and Parkinsonian tremors, The 7th Experimental Chaos Conference, San Diego, USA, August 25-29, 2002. J.B. Gao, S.K. Hwang, H.F. Chen, Z. Kang, K. Yao, and J.M. Liu, “Can sea clutter and indoor radio propagation be modeled as strange attractors?” The 7th Experimental Chaos Conference, San Diego, USA, August 25-29, 2002. J.B. Gao and I. Rubin, “Performance of Random Multiple Access Scheme Under Long-Range-Dependent Traffic”, ICC’2002, New York, April, 2002. J.B. Gao and k. Yao, “Multifractal features of sea clutter”, IEEE Radar Conference 2002, Long Beach, CA, April, 2002. J.B. Gao and I. Rubin, “Analysis of Random Access Protocol under Bursty Traffic”, IFIP/IEEE International Conference on Management of Multimedia Networks and Services 2001, Chicago IL, Oct., 2001. J.B. Gao, V. P. Roychowdhury, R. Ritke, and I. Rubin, “IP Packet Level vBNS Traffic Analysis and Modeling”, SPECTS’01, Orlando, Florida, July, 2001. J.B. Gao and R. Ritke, “Long-Range-Dependence Properties and Multifractal Modeling of vBNS traffic”, Applied Telecommunications Symposium (ATS’01), Seattle, Washington, April, 2001. J.B. Gao and I. Rubin, “Multiplicative Multifractal Modeling of Long-Range-Dependent (LRD) Traffic in Computer Communications Networks”. World Congress of Nonlinear Analysts, July, 2000, Catonia, Sicily, Italy. J.B. Gao and I. Rubin, “Superposition of Multiplicative Multifractal Traffic Streams”. ICC2000, June, 2000, New Orleans, Louisiana. J.B. Gao and I. Rubin, “Multifractal modeling of counting processes of Long-Range Dependent network traffic”. Proceedings SCS Advanced Simulation Technologies Conference, San Diego, CA, 1999. J.B. Gao and I. Rubin, “Multiplicative Multifractal Modeling of Long-Range-Dependent Traffic”. Proceedings ICC’99, Vancouver, Canada, June, 1999. J.B. Gao, Modes interactions in wakes behind a cylinder. Int. Conf. on Fluid Mech. and Theo. Phys. In Honor of Prof. Pei-Yuan Chou’s 90th Anniversary, Beijing, China, June, 1992. J.B. Gao, Characterizing the chaotic motion in wakes behind a cylinder. Second Int. Conf. on Fluid Mech., Beijing, China, July, 1993. G.W. He and J.B. Gao, A coupled map lattice model for open flow. Second Int. Conf. on Fluid Mech., Beijing, China, July, 1993. J.B. Gao, On the chaotic features of normal electrocardiosignal. Second Far east Int. Conf. on Medicine and Bioengineering, Beijing, China, August, 1993.

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