[1]     Qin, K., Hu, W., He, Q., Lu, F., & Cohen, J. B.* (2024). Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources. Atmospheric Chemistry and Physics, 24(5), 3009-3028.(第一作者,SCI,中科院1区,JCR Q1


[2]     Qin, K., Gao, H., Liu, X., He, Q., & Cohen, J. B.* (2024). A Global Daily High Spatial-temporal Coverage Merged Tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2. Earth System Science Data, 16, 5287–5310.(第一作者,SCI,中科院1区,JCR Q1


[3]     Qin, H., Qin, K.*, Cohen, J. B., Li, D, and & Kim, J. (2024), Quantifying Uncertainty in ML-derived Atmosphere Remote Sensing: Hourly Surface NO2 Estimation with GEMS, Geophysical Research Letters, 51(18), e2024GL110468(唯一通讯作者,SCI,中科院1区,JCR Q1Nature Index期刊)


[4]     Wang, Y. K, Qin, K.*, Zhang, Z.L., He, Q., Cohen, J. B., (2024). Mapping open-pit mining area in complex mining and mixed land cover zone using Landsat imagery, International Journal of Applied Earth Observation and Geoinformation, 129, 103782(唯一通讯作者,SCI,中科院1区,JCR Q1


[5]     Tu, Q.*, Hase, F., Qin, K.*, Cohen, J. B., Khosrawi, F., Zou, X., ... & Lu, F. (2024). Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method. Atmospheric Chemistry and Physics, 24(8), 4875-4894. (共同通讯作者,SCI,中科院1区,JCR Q1


[6]     Hu, W. , Qin, K.*, Lu, F. , Li, D. , & Cohen, J. B.* (2024). Merging TROPOMI and eddy covariance observations to quantify 5-years of daily CH4 emissions over coal-mine dominated region, International Journal of Coal Science & Technology, 11:56(共同通讯作者,SCI,中科院1区,JCR Q1


[7]     Liu, Z., Cohen, J. B.*, Wang, S., Wang, X.Y. Tiwari, P. & Qin, K.* (2024). Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions. npj Clim Atmos Sci 7, 124(共同通讯作者,SCI,中科院1区,JCR Q1


[8]     秦凯,何秦,康涵书,胡玮,鹿凡科恩·杰森.(2023).煤炭行业甲烷排放卫星遥感研究进展与展望.光学学报(18),118-130.(第一作者,EI ‌


[9]     高鸿睿, 秦凯, 何秦, 康俊亭*. GEMS逐小时对流层NO2产品数据质量评价与提升:以华东地区为例. 光学学报, 2024, 44(24): 2401007. (通讯作者,EI


[10]  陆凌霄秦凯*科恩杰森李晓璐, & 周春艳. (2024). TROPOMI NO2间接估算化石能源CO2日排放量,遥感学报(通讯作者,EI ‌


[11]  陈小娟,秦凯*,Cohen Jason & 何秦.(2024).基于TROPOMI NO2COHCHO重构数据的近地面O3浓度估算研究.遥感学报(09),2348-2361. (通讯作者,EI


[12]  涂倩思,秦凯*, & 鹿凡.(2024).碳柱观测合作网络(COCCON)甲烷监测进展及其在中国的初步应用.遥感学报(08),1955-1967. (通讯作者,EI


[13]  周文远,秦凯*,何秦,王璐瑶,罗锦洪谢卧龙.(2024).基于对流层检测仪和臭氧检测仪的我国近地面NO2浓度的估算对比与优化.光学学报(06),131-142. (通讯作者,EI


[14]  康涵书,秦凯*,鹿凡,胡玮,许庆科恩·杰森.(2024).基于高分五号卫星的山西省煤炭行业甲烷点源排放特征.煤炭学报(09),3960-3968. (通讯作者,EI


[15]  Qin, K. ,  Lu, L. ,  Liu, J. ,  He, Q. ,  Shi, J. , &  Deng, W. , et al. (2023). Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources. Remote Sensing of Environment, 295, 113720. (第一作者,SCI,中科院1区,JCR Q1


[16]  Li, X., Cohen, J. B., Qin, K.*, Geng, H., Wu, X., Wu, L., ... & Zhang, L. (2023). Remotely sensed and surface measurement-derived mass-conserving inversion of daily NOx emissions and inferred combustion technologies in energy-rich northern China. Atmospheric Chemistry and Physics, 23(14), 8001-8019.(共同通讯作者,SCI,中科院1区,JCR Q1


[17]  袁丽梅,马芳芳,卞泽秦凯*.(2023).中国PM1浓度时空特征及其与AOD的相关性分析(20142017年).环境科学(11),5964-5974. (通讯作者,EI


[18]  Qin, K., He, Q., Zhang, Y., Cohen, J. B., Tiwari, P., & Lolli, S*. (2022). Aloft Transport of Haze Aerosols to Xuzhou, Eastern China: Optical Properties, Sources, Type, and Components. Remote Sensing, 14(7), 1589.(第一作者,SCI,中科院2区,JCR Q1


[19]  李丁,秦凯*,薛勇,饶兰兰,张亦舒,何秦.(2022).基于S5P/TROPOMI的中国东部气溶胶单次散射反照率反演初探, 遥感学报,265): 897-912. (通讯作者,EI


[20]  刘艳秋,秦凯*, COHEN Blake Jason,康涵书,胡玮,鹿凡,武晓晖,杨成立等(2022).等基于涡动及走航观测的晋东南煤矿区甲烷分布特征,煤炭学报,47(12):4396-4402. (通讯作者,EI


[21]  范东浩,秦凯*,杜娟,何秦,辛世纪,刘鼎医.(2022).地球静止卫星和网格化站点支持下的PM2.5精细制图.遥感学报,265): 1015-1026. (通讯作者,EI


[22]  沈永林江昌民, 肖泽敏, 姚凌, 秦凯*(2022). 中国田块尺度露天生物质燃烧NOx遥感排放清单. 大气与环境光学学报,17(6):655-669(通讯作者)


[23]  Li, D., Qin, K.*, Cohen, J. B., He, Q., Wang, S., Li, D., ... & Xue, Y. (2021). Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 10269-10277. (唯一通讯作者,SCI,中科院2区,JCR Q1


[24]  Qin, K., Zheng, S., Wu, L., & Wang, Y. (2021). Quasi-synchronous multi-parameter anomalies before Wenchuan and Yushu earthquakes in China. The European Physical Journal Special Topics, 230(1), 263-274. (第一作者,SCI,中科院2区,JCR Q1


[25]  张亦舒, 徐达, 何秦, 李冬会, & 秦凯*. (2021). 浙江省气溶胶垂直分布及区域传输分析. 中国环境科学, 41(5), 2097-2107. (通讯作者,EI ‌


[26]  Qin, K.*, Han, X., Li, D., Xu, J., Loyola, D., Xue, Y., ... & Yuan, L. (2020). Satellite-based estimation of surface NO2 concentrations over east-central China: a comparison of POMINO and OMNO2d data. Atmospheric Environment, 224, 117322. (第一作者,SCI,中科院2区,JCR Q1


[27]  Chen, W., Wang, H., Zhao, H., & Qin, K.* (2020). Google Earth Engine–assisted black carbon radiative forcing calculation over a heavy industrial city in China. Air Quality, Atmosphere & Health, 13(3), 329-338. (唯一通讯作者,SCI,中科院2区,JCR Q1


[28]  Li, D., Qin, K.*, Wu, L., Mei, L., de Leeuw, G., Xue, Y., ... & Li, Y. (2020). Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China. Remote Sensing, 12(6), 978. (唯一通讯作者,SCI,中科院2区,JCR Q1


[29]  Fan, W., Qin, K.*, Cui, Y., Li, D., & Bilal, M. (2020). Estimation of Hourly Ground-Level PM₂.₅ Concentration Based on Himawari-8 Apparent Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 59(1), 76-85. (唯一通讯作者,SCI,中科院1区,JCR Q1


[30]  He, Q., Qin, K.*, Cohen, J. B., Loyola, D., Li, D., Shi, J., & Xue, Y. (2020). Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements. Environmental Research Letters, 15(12), 125011. (唯一通讯作者,SCI,中科院2区,JCR Q1


[31]  李一蜚, 秦凯*, 李丁, 樊文智, & 何秦. (2020). 基于梯度提升回归树算法的地面臭氧浓度估算. 中国环境科学, 40(3), 997-1007. (通讯作者,EI ‌


[32]  何秦, 郑硕, 秦凯*, 胡明玉, & 张亦舒. (2020). 基于车载激光雷达走航观测的石家庄及周边地区气溶胶空间分布特征. 红外与激光工程, 49(S2), 20200353. (通讯作者,EI ‌


[33]  陈琦,秦凯*,陆亚萍等(2020). 基于涡度相关技术的徐州市城郊CO2通量特征研究,地理与地理信息科学,36(4) :86-93. (通讯作者)