| Proteome and phosphoproteome characterization reveals new response and defense mechanisms of Brachypodium distachyon leaves under salt stress DW Lv, S Subburaj, M Cao, X Yan, X Li, R Appels, DF Sun, W Ma, YM Yan Molecular & Cellular Proteomics 13 (2), 632-652, 2014 | 127 | 2014 |
| Proteome characterization of developing grains in bread wheat cultivars (Triticum aestivum L.) G Guo, D Lv, X Yan, S Subburaj, P Ge, X Li, Y Hu, Y Yan BMC plant biology 12, 1-24, 2012 | 122 | 2012 |
| Pollution characteristics and health risk assessment of airborne heavy metals collected from Beijing bus stations X Zheng, W Zhao, X Yan, T Shu, Q Xiong, F Chen International journal of environmental research and public health 12 (8 …, 2015 | 110 | 2015 |
| Comparison of Ground-Based PM2.5 and PM10 Concentrations in China, India, and the U.S. X Yang, L Jiang, W Zhao, Q Xiong, W Zhao, X Yan International journal of environmental research and public health 15 (7), 1382, 2018 | 94 | 2018 |
| New interpretable deep learning model to monitor real-time PM2. 5 concentrations from satellite data X Yan, Z Zang, N Luo, Y Jiang, Z Li Environment international 144, 106060, 2020 | 90 | 2020 |
| A Spatial-Temporal Interpretable Deep Learning Model for Improving Interpretability and Predictive Accuracy of Satellite-based PM2. 5 X Yan, Z Zang, Y Jiang, W Shi, Y Guo, D Li, C Zhao, L Husi Environmental Pollution, 116459, 2021 | 89 | 2021 |
| iTRAQ‐based quantitative proteomic analysis reveals new metabolic pathways of wheat seedling growth under hydrogen peroxide stress P Ge, P Hao, M Cao, G Guo, D Lv, S Subburaj, X Li, X Yan, J Xiao, W Ma, ... Proteomics 13 (20), 3046-3058, 2013 | 71 | 2013 |
| Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China J Chen, Z Li, M Lv, Y Wang, W Wang, Y Zhang, H Wang, X Yan, Y Sun, ... Atmospheric Chemistry and Physics 19 (2), 1327-1342, 2019 | 69 | 2019 |
| Health risk and disease burden attributable to long-term global fine-mode particles X Yang, Y Wang, C Zhao, H Fan, Y Yang, Y Chi, L Shen, X Yan Chemosphere 287, 132435, 2022 | 62 | 2022 |
| Comparative proteome analysis of wheat flag leaves and developing grains under water deficit X Deng, Y Liu, X Xu, D Liu, G Zhu, X Yan, Z Wang, Y Yan Frontiers in Plant Science 9, 425, 2018 | 59 | 2018 |
| Evaluation and Comparison of Himawari-8 L2 V1. 0, V2. 1 and MODIS C6. 1 aerosol products over Asia and the oceania regions X Yang, C Zhao, N Luo, W Zhao, W Shi, X Yan Atmospheric Environment 220, 117068, 2020 | 55 | 2020 |
| Comparative proteome analysis of A-and B-type starch granule-associated proteins in bread wheat (Triticum aestivum L.) and Aegilops crassa H Cao, X Yan, G Chen, J Zhou, X Li, W Ma, Y Yan Journal of proteomics 112, 95-112, 2015 | 53 | 2015 |
| A deep learning approach to improve the retrieval of temperature and humidity profiles from a ground-based microwave radiometer X Yan, C Liang, Y Jiang, N Luo, Z Zang, Z Li IEEE transactions on geoscience and remote sensing 58 (12), 8427-8437, 2020 | 50 | 2020 |
| Satellite-based PM2. 5 estimation using fine-mode aerosol optical thickness over China X Yan, W Shi, Z Li, Z Li, N Luo, W Zhao, H Wang, X Yu Atmospheric environment 170, 290-302, 2017 | 48 | 2017 |
| A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8 X Yan, Z Li, N Luo, W Shi, W Zhao, X Yang, J Jin Atmospheric Research 207, 14-27, 2018 | 47 | 2018 |
| Albumin and globulin dynamics during grain development of elite Chinese wheat cultivar Xiaoyan 6 K Dong, P Ge, C Ma, K Wang, X Yan, L Gao, X Li, J Liu, W Ma, Y Yan Journal of Cereal Science 56 (3), 615-622, 2012 | 46 | 2012 |
| Association between coronavirus disease 2019 (COVID-19) and long-term exposure to air pollution: Evidence from the first epidemic wave in China P Zheng, Z Chen, Y Liu, H Song, CH Wu, B Li, MUG Kraemer, H Tian, ... Environmental Pollution 276, 116682, 2021 | 45 | 2021 |
| A regionally robust high-spatial-resolution aerosol retrieval algorithm for MODIS images over Eastern China J Wei, Z Li, Y Peng, L Sun, X Yan IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4748-4757, 2019 | 45 | 2019 |
| Machine learning-based retrieval of day and night cloud macrophysical parameters over East Asia using Himawari-8 data Y Yang, W Sun, Y Chi, X Yan, H Fan, X Yang, Z Ma, Q Wang, C Zhao Remote Sensing of Environment 273, 112971, 2022 | 44 | 2022 |
| Statistical aerosol properties associated with fire events from 2002 to 2019 and a case analysis in 2019 over Australia X Yang, C Zhao, Y Yang, X Yan, H Fan Atmospheric Chemistry and Physics 21 (5), 3833-3853, 2021 | 42 | 2021 |