近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1 Qifan Zeng, Baojun Zhao, Hao Wang, Mengqiu Wang, Mingxuan Teng, Jingjie Hu, Zhenmin Bao, Yangfan Wang*， Aquaculture Molecular Breeding Platform (AMBP): a comprehensive web server for genotype imputation and genetic analysis in aquaculture，Nucleic Acids Res. 2022 May 25;50(W1):W66-W74. doi: 10.1093/nar/gkac424 (一区TOP IF 19.2)
2. Qi Yao， Ping Lin; Linshan Wang; Yangfan Wang* (王扬帆),“Practical Exponential Stability of Impulsive Stochastic Reaction-Diffusion Systems With Delays” 2022. IEEE Transactions on Cybernetics PP(99)VOL. 52, NO. 5, MAY 2022 （一区TOP IF 19.1）
3 Jia Lv#, , Yangfan Wang#⁎(王扬帆), Ping Ni, Ping Lin, Hu Hou, Jun Ding,, Yaqing Chang, Jingjie Hu*, Shi Wang, Zhenmin Bao，Development of a high-throughput SNP array for sea cucumber (Apostichopus japonicus) and its application in genomic selection with MCP regularized deep neural networks. Genomics Follow journal DOI: 10.1016/j.ygeno.2022.110426 (IF 5.6) (通讯、共一)
4 Xinghai Zhu, Ping Ni, Marc Sturrock, Yangfan Wang* (王扬帆), Jun Ding, Yaqing Chang, Jingjie Hu, Zhenmin Bao. Fine mapping and association analysis of candidate genes for papilla number in sea cucumber, Apostichopus japonicus, Marine Life Science & Technology . 2022 https://doi.org/10.1007/s42995-022-00139-w (IF 5.0 )
5 刘洋,王扬帆*（通讯作者）,胡景杰,包振民,丁君,常亚青,杨建敏,侯虎, “基于卷积神经网络的仿刺参非侵入式标记方法的初步研究”, 中国水产科学 2022 JFSC2022-0173 中文核心
6 倪萍、任强、王静、王扬帆*（通讯作者）、丁君*、常亚青、胡景杰、包振民、“仿刺参疣足数量 SNP 遗传力评估” 2021 渔业科学进展中文核心
7 Yangfan Wang(王扬帆), Q. Ren, L. Zhao et.al.,Estimating genetic parameters of muscle imaging trait with 2b-RAD SNP markers in Zhikong scallop (Chlamys farreri)July 2021 Aquaculture 2021. AQUA_737715 DOI: 10.1016/j.aquaculture.2021.737715 （IF 4.2 一区TOP）
8 Zhu, X. , Ni, P. , Xing, Q. , Yangfan Wang* (王扬帆), & Zhenmin Bao. “Genomic prediction of growth traits in scallop using convolutional neural networks” July 2021 Aquaculture 545(3):737171 DOI: 10.1016/j.aquaculture.2021.737171 （IF 4.2 一区TOP）
9 Yangfan Wang (王扬帆)，Xiao-Lin Wu，Zhi Li，Zhenmin Bao，Guilherme J. M. Rosa“Estimation of Genomic Breed Composition for Purebred and Crossbred Animals Using Sparsely Regularized Admixture Models”. Fronties in Genetics. 11:576.（IF 4.6 权威）
10 Yangfan Wang(王扬帆)，X Mi，GJM Rosa，Z Chen，P Lin，S Wang，Zhenmin Bao *“An R package for Fitting Sparse Neural Networks with Application in Animal Breeding”.Journal of Animal Science. 2018.96:2016–2026. （中科院，SCI二区TOP IF 1.813）
11. T Wei，P Lin，Q Zhu，L Wang，Yangfan Wang *(王扬帆),“DynamicalBehavior of Nonautonomous Stochastic Reaction–Diffusion Neural-Network Models”. IEEE Transactions on Neural Networks and Learning Systems.2018. （中科院，SCI一区TOP IF 11.683）
12. Xiao，Liang，Linshan，Yangfan Wang*(王扬帆)，Ruili“Dynamical Behavior of Delayed Reaction-Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes”.IEEE Transactions on Neural Networks and Learning Systems. 2016. 27(9):1816-1826.（中科院，SCI一区TOP IF 11.683）
13. T Wei，P Lin，Yangfan Wang*(王扬帆)，L Wang“Stability of stochastic impulsive reaction diffusion neural networks with S-type Distributed delays and its application to Image encryption”.Neural Networks . 2019/8/116.（中科院，SCI一区TOP 5.78）
14. H Guo, Q Zeng，Y Li，Yangfan Wang*(王扬帆)，Z Chen，L Ping，W Shi，Zhenmin Bao, “Estimating realized heritability for growth in Zhikong scallop (Chlamysfarreri) using genome-wide complex trait analysis”.Aquaculture, 2018. 497:103–108. （中科院，SCI二区TOP）
15. Yangfan，Wang(王扬帆)，Guidong，Sun，Qifan，Zeng，Zhihui，Chen，Xiaoli，Hu, Zhenmin Bao. Predicting growth traits with genomic selection methods in Zhikong scallop (Chlamysfarreri).”Marine Biotechnology. 2018, DOI: 10.1007/s10126-018-9847-z .（中科院，SCI二区）
16. Qi Yao，Linshan Wang，Yangfan Wang*(王扬帆),“Existence-uniqueness and stability of reaction-diffusion stochastic Hopfield neural networks with S-type distributed time delays”. Neurocomputing.2017. 275 :470–477（中科院，SCI二区）
17. T Wei，L Wang，Yangfan Wang*(王扬帆) ,“Existence, uniqueness andstability of mild solutions to stochastic reaction–diffusion Cohen–Grossberg neural networks with delays and Wiener processes”.Neurocomputing,2017. 275 :470–477（中科院，SCI二区）
18. Guo Z. , Lin P., Yangfan Wang*(王扬帆),“Retinal vesselsegmentation using a finite element based binary level set method”.Inverse Problems & Imaging, 2014, 8 (2) : 459-473.（中科院，SCI二区）
19. Q Xing，T Wei，Z Chen，Yangfan Wang*(王扬帆)，Y Lu，S Wang，L Zhang，Z Bao “Using a multiscale image processing method to characterize the periodic growth patterns on scallop shells.”Ecology and Evolution. 2017. 7(5): 1616–1626.（SCI）
20. T Wei，Yangfan Wang*(王扬帆)，L Wang“Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction–Diffusion Terms and Markovian Jumping”.Neural Processing Letters 2017 .doi.org/10.1007/s11063-017-9756-6（SCI）
21. T Wei，L Wang，L Ping，J Chen，Yangfan Wang*(王扬帆)，H Zheng.“Learning non-negativity constrained variation for image denoising and deblurring”. Numerical Mathematics Theory Methods & Applications, 10(4), 852-871.（SCI）
22 Guo, Z. , Lin, P. , & Yangfan Wang*(王扬帆). (2014). Continuous finite element schemes for a phase field model in two-layer fluid bénard–marangoni convection computations. Computer Physics Communications, 185(1), 63-78.
23 T. Dumitruc, M. Chaplain, P. Lin, Yangfan Wang*(王扬帆). A multiscale moving boundary model arising in cancer invasion, Multiscale Modelling Simulation: A SIAM Interdisciplinary J. 11(1), 2013, pp.309-335. (* corresponding author). （SCI 一区）
24 Yangfan Wang(王扬帆), G. Ji., P. Lin, M. Emanual, Retinal vessel segmentation using multiwavelet kernels and multiscale hierarchical decomposition, Pattern Recognition, available online 10 Feb 2013. ( First author) （SCI二区,TOP）
25 Yangfan Wang(王扬帆), P. Lin, L. Wang. Exponential stability of reaction–diffusion high-order Markovian jump Hopfield neural networks with time-varying delays, Nonlinear Analysis: Real World Applications 13 (2012), No 3, pp 1353-1361.( First author) （SCI一区）
26 Yangfan Wang(王扬帆), L. Wang. Global exponential stability of high-order Hopfield-type neural networks with S-type distributed time delays , Communications in Nonlinear Science and Numerical Simulation ,Vol.16(2011)，3319-3325. ( First author)（SCI一区）
27 Yangfan Wang(王扬帆), L. Wang. LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. J. Applied Mathematics (2012) ( First author)（SCI）
28 SU Hailin，LI Hengde，S Wang，Yangfan Wang*(王扬帆)，Zhenmin Bao “Performance comparison of two efficient genomic selection methods (gsbay&MixP) applied in aquacultural organisms”. Journal of Ocean University of China , 2017 , 16 (1) :137-144（SCI）
29 Li, Y. , Wang, R. , Xun, X. , Wang, J. , Bao, L. , & Thimmappa, R. ,Yangfan Wang(王扬帆), Zhenmin Bao. Sea cucumber genome provides insights into saponin biosynthesis and aestivation regulation. Cell Discovery.
30 Zhang, M. , Yangfan Wang(王扬帆), Y. , Li, Y. , Li, W. , Li, R. , & Xie, X. , Zhenmin Bao. (2018). Identification and characterization of neuropeptides by transcriptome and proteome analyses in a bivalve mollusc patinopecten yessoensis. Frontiers in Genetics, 9, 197.
31 Guo, H. , Li, Y. , Zhang, M. , Li, R. , Li, W. , & Lou, J. , Yangfan Wang*(王扬帆), Zhenmin Bao. (2018). Expression of cathepsin f in response to bacterial challenges in yesso scallop patinopecten yessoensis. Fish & Shellfish Immunology, 80, 141-147.
32 Li, Y. , Sun, X. , Hu, X. , Xun, X. , Zhang, J. , & Guo, X. , Yangfan Wang(王扬帆), Zhenmin Bao. (2017). Scallop genome reveals molecular adaptations to semi-sessile life and neurotoxins. Nature Communications, 8(1), 1721.
33 Dou, J. , Li, X. , Fu, Q. , Jiao, W. , Li, Y. , & Li, T. , Yangfan Wang(王扬帆), Zhenmin Bao. (2016). Evaluation of the 2b-rad method for genomic selection in scallop breeding. Scientific Reports, 6, 19244.
34 Tian, M. , Li, Y. , Jing, J. , Mu, C. , Du, H. , & Dou, J. ,Yangfan Wang(王扬帆), Zhenmin Bao. (2015). Construction of a high-density genetic map and quantitative trait locus mapping in the sea cucumber apostichopus japonicus. Scientific Reports, 5, 14852.
35 Jiao, W. , Fu, X. , Dou, J. , Li, H. , Su, H. , & Mao, J. , Yangfan Wang(王扬帆), Zhenmin Bao. (2013). High-resolution linkage and quantitative trait locus mapping aided by genome survey sequencing: building up an integrative genomic framework for a bivalve mollusc. DNA Research,21,1(2013-10-9)(1), 85-101.
36 R Nian, J, Yu., Yangfan Wang*(王扬帆), Zhenmin Bao. ROV-based Underwater Vision System for Intelligent Fish Ethology Research[J]. International Journal of Advanced Robotic Systems, 2013, 10. corresponding author（SCI）
京公网安备 11010802027423号