近期论文
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（1） 第一作者论文（IF为发表当年影响因子）
[1] Liang Chang, Yanli Yang, Xinjun Chen, Wei Yu, Yangdong Li, Guiping Feng, Yang Zhang. Assessment of prediction model of the CPUE of neon flying squid with different sources of remote sensing data. Acta Oceanologica Sinica, 2023, xx(x), xx–xx. (in press) (IF=1.431; Q4)
[2] Liang Chang, Fanglin Chen, Guoping Gao, Yang Zhang. Effects of water vapor and cloud fraction in AIRS retrievals on Arctic sea ice variability. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, doi: 10.1109/TGRS.2022.3185636. (IF=8.125; Q1)
[3] Liang Chang, Shiqiang Wen, Guoping Gao, Zhen Han, Guiping Feng, and Yang Zhang. Assessment of temperature and specific humidity inversions and their relationships in three global reanalysis products over the Arctic Ocean. Journal of Applied Meteorology and Climatology, 2021, 60(4), 493–511, doi: 10.1175/JAMC-D-20-0079.1. (IF=2.923; Q3)
[4] Liang Chang, Yanxing Li, Zhen Han, Guiping Feng, Yangdong Li, Yang Zhang. Improvement of precipitable water vapor and water vapor mixing ratio profile in Atmospheric Infrared Sounder retrievals: Differential linear adjustment model. International Journal of Remote Sensing, 2020, 41(17), 6859–6876, doi: 10.1080/01431161.2020.1750736. (IF=2.976; Q2)
[5] Liang Chang, Guoping Gao, Yangdong Li, Yu Zhang, Chunling Zhang, Yang Zhang, Guiping Feng. Variations in water vapor from AIRS and MODIS in response to Arctic sea ice change in December 2002–November 2016. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(10), 7395–7405, doi: 10.1109/TGRS.2019.2913149. (IF=5.855; Q1)
[6] Liang Chang, Ruya Xiao, Abhnil Amtesh Prasad, Guoping Gao, Guiping Feng, Yu Zhang. Cloud mask-related differential linear adjustment model for MODIS infrared water vapor product. Remote Sensing of Environment, 2019, 221, 650–664, doi: 10.1016/j.rse.2018.12.005. (IF=9.085; Q1)
[7] Liang Chang, Guiping Feng, Yang Zhang, Xiufeng He. Effect of cloud fraction on Arctic low-level temperature inversions in AIRS observations over both land and ocean. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4), 2025–2032, doi: 10.1109/TGRS.2017.2772297. (IF=5.630; Q1)
[8] Liang Chang, Lixin Guo, Guiping Feng, Xuerui Wu, Guoping Gao, Yang Zhang, Yu Zhang. Comparison of the Arctic upper-air temperatures from radiosonde and radio occultation observations. Acta Oceanologica Sinica, 2018, 37(1), 30-39, doi: 10.1007/s13131-018-1156-x. (IF=0.699; Q3; 封面论文)
[9] Liang Chang, Shuli Song, Guiping Feng, Guoping Gao. Assessment of the uncertainties in Arctic low-level temperature inversion characteristics in radio occultation observations. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3), 1793–1803, doi: 10.1109/TGRS.2016.2633461. (IF=4.662; Q1)
[10] Liang Chang, Min Liu, Lixin Guo, Xiufeng He, Guoping Gao. Remote sensing of atmospheric water vapor from synthetic aperture radar interferometry: Case study in Shanghai, China. Journal of Applied Remote Sensing, 2016, 10(4), 046032, doi: 10.1117/1.JRS.10.046032. (IF=1.107; Q4)
[11] Liang Chang, Guoping Gao, Lixin Guo, Guiping Feng, Yang Zhang. Surface air temperature evaluation from GPS radio occultation in turbulent heat flux estimation: Case study in Tropical Oceans. Terrestrial Atmospheric and Oceanic Sciences, 2016, 27, 303–309, doi: 10.3319/TAO.2016.02.02.01(AA). (IF=0.752; Q4)
[12] Liang Chang, Guoping Gao, Shuanggen Jin, Xiufeng He, Ruya Xiao and Lixin Guo, Calibration and evaluation of precipitable water vapor from MODIS infrared observations at night. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(5), 2612–2620, doi: 10.1109/TGRS.2014.2363089. (IF=3.36; Q1)
[13] Liang Chang, Shuanggen Jin and Xiufeng He, Assessment of InSAR atmospheric correction using both Moderate Resolution Imaging Spectroradiometer near-infrared and infrared water vapor products. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9), 5726–5735, doi: 10.1109/TGRS.2013.2292070. (IF=3.514; Q1)
[14] Liang Chang, Xiufeng He, InSAR atmospheric distortions mitigation: GPS observations and NCEP FNL data. Journal of Atmospheric and Solar-Terrestrial Physics, 2011, 73(4), 464–471. (IF=1.596; Q3)
[15] Liang Chang, Xiufeng He, Jonathan Li, A Wavelet Domain Detail-compensation Filtering Technique for InSAR Interferogram. International Journal of Remote Sensing, 2011, 32(23), 7985–7995. (IF=1.188; Q3)
[16] 常亮，何秀凤. 综合GPS和NCEP在区域降雨预报中的应用研究. 中国科学：物理学力学天文学，2010，40(5)，685–692.
[17] 常亮，陈芳霖，陈新军，余为，冯贵平，李阳东，曾为. 基于BP神经网络的西北太平洋柔鱼资源丰度预测. 上海海洋大学学报，2022，31(2)，524–533.
[18] 常亮，郭立新，冯贵平. MODIS红外水汽校正及其在InSAR大气改正中的应用. 大地测量与地球动力学，2016，36(1)，47–51.
[19] 常亮，高郭平，郭立新. 星载SAR海洋表层流场反演综述. 海洋科学进展，2015，33(1)，107–117.
[20] 常亮，何秀凤. 基于移动区间的GPS轨道标准化方法. 大地测量与地球动力学，2009，29(1)，110–113.
[21] Liang Chang, Shuanggen Jin. MODIS Infrared (IR) Water Vapor Calibration Model and Assessment. International Conference on Geoinformatics, 1–5, Kaifeng, China, 20－22 June, 2013, Oral presentation. (EI)
[22] Liang Chang, Shuanggen Jin. InSAR tropospheric delays mitigation in the Tibetan Plateau using GPS Radio occultation and NCEP data, Proceeding of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 7519–7522, Munich, Germany, 22－27 July 2012, Oral presentation. (EI)
[23] Liang Chang, Xiufeng He. InSAR interferogram detail-compensating filtering method based on the stationary wavelet transforms. Joint Urban Remote Sensing Event, May 20-22, 2009, Shanghai, China. (EI)
[24] 常亮，何秀凤. 基于GPS的大气水汽输送特征研究. CPGPS 2009: Global Navigation Satellite System: Technology Innovation and Application, Proceedings，2009：121–128. (ISTP)
（2） 通讯作者论文（学生一作）
[1] Yanxing Li, Liang Chang*, Guoping Gao. Impact of Arctic Oscillation on cloud radiative forcing and September sea ice retreat. Acta Oceanologica Sinica, 2022, 41(10), 131–139, doi: 10.1007/s13131-022-2010-8. (IF=1.431; Q4)
[2] 陈芳霖，常亮*，冯贵平. 基于GNSS-R技术的阿拉斯加州积雪深度反演及其应用. 极地研究，2023，xx(xx), xx–xx.（已录用）
[3] 温世强，常亮*. 北极水汽输送的时空分布特征研究. 极地研究，2022，34(3), 265–277.
[4] 李妍星，常亮*，张春玲. 春季云属性的空间分布特征及其对北极海冰减退的影响. 极地研究，2022，34(2), 177–188.
[5] 杨艳丽，常亮*. MODIS北极气溶胶光学厚度的精度验证与分布特征研究. 极地研究，2022，34(1), 62–71.
[6] 王泽明，常亮*，冯贵平，朱卫东. 基于自适应测站高的GNSS-R潮位监测研究. 测绘科学，2021，46(8), 41–48.
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