| Temporal trends of surface urban heat islands and associated determinants in major Chinese cities R Yao, L Wang, X Huang, Z Niu, F Liu, Q Wang Science of the Total Environment 609, 742-754, 2017 | 229 | 2017 |
| The effects of projected climate change and extreme climate on maize and rice in the Yangtze River Basin, China X Chen, L Wang, Z Niu, M Zhang, J Li Agricultural and Forest Meteorology 282, 107867, 2020 | 124 | 2020 |
| Interannual variations in surface urban heat island intensity and associated drivers in China R Yao, L Wang, X Huang, W Zhang, J Li, Z Niu Journal of Environmental Management 222, 86-94, 2018 | 121 | 2018 |
| The influence of different data and method on estimating the surface urban heat island intensity R Yao, L Wang, X Huang, Y Niu, Y Chen, Z Niu Ecological Indicators 89, 45-55, 2018 | 97 | 2018 |
| Innovative trend analysis of solar radiation in China during 1962–2015 Z Zhou, L Wang, A Lin, M Zhang, Z Niu Renewable energy 119, 675-689, 2018 | 96 | 2018 |
| Prediction of solar radiation in China using different adaptive neuro‐fuzzy methods and M5 model tree L Wang, O Kisi, M Zounemat‐Kermani, Z Zhu, W Gong, Z Niu, H Liu, Z Liu International Journal of Climatology 37 (3), 1141-1155, 2017 | 96 | 2017 |
| Comparison of deterministic and data-driven models for solar radiation estimation in China W Qin, L Wang, A Lin, M Zhang, X Xia, B Hu, Z Niu Renewable and Sustainable Energy Reviews 81, 579-594, 2018 | 91 | 2018 |
| Pan evaporation modeling using four different heuristic approaches L Wang, Z Niu, O Kisi, D Yu Computers and Electronics in Agriculture 140, 203-213, 2017 | 78 | 2017 |
| Impacts of drought and climatic factors on vegetation dynamics in the Yellow River Basin and Yangtze River Basin, China W Jiang, Z Niu, L Wang, R Yao, X Gui, F Xiang, Y Ji Remote Sensing 14 (4), 930, 2022 | 73 | 2022 |
| Long-term trends of surface and canopy layer urban heat island intensity in 272 cities in the mainland of China R Yao, L Wang, X Huang, Y Liu, Z Niu, S Wang, L Wang Science of the Total Environment 772, 145607, 2021 | 68 | 2021 |
| Investigation of urbanization effects on land surface phenology in Northeast China during 2001–2015 R Yao, L Wang, X Huang, X Guo, Z Niu, H Liu Remote Sensing 9 (1), 66, 2017 | 62 | 2017 |
| Prediction of diffuse solar radiation based on multiple variables in China L Wang, Y Lu, L Zou, L Feng, J Wei, W Qin, Z Niu Renewable and Sustainable Energy Reviews 103, 151-216, 2019 | 57 | 2019 |
| Less sensitive of urban surface to climate variability than rural in Northern China R Yao, L Wang, X Huang, J Chen, J Li, Z Niu Science of the Total Environment 628, 650-660, 2018 | 53 | 2018 |
| A robust method for filling the gaps in MODIS and VIIRS land surface temperature data R Yao, L Wang, X Huang, L Sun, R Chen, X Wu, W Zhang, Z Niu IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10738-10752, 2021 | 47 | 2021 |
| Analysis of spatiotemporal variability in temperature extremes in the Yellow and Yangtze River basins during 1961–2014 based on high‐density gauge observations Z Niu, L Wang, L Fang, J Li, R Yao International Journal of Climatology 40 (1), 1-21, 2020 | 30 | 2020 |
| First effort at constructing a high-density photosynthetically active radiation dataset during 1961–2014 in China W Qin, L Wang, M Zhang, Z Niu, M Luo, A Lin, B Hu Journal of Climate 32 (10), 2761-2780, 2019 | 27 | 2019 |
| Long-term variations of surface solar radiation in China from routine meteorological observations X Yang, W Qin, L Wang, M Zhang, Z Niu Atmospheric Research 260, 105715, 2021 | 20 | 2021 |
| Spatiotemporal distributions of pan evaporation and the influencing factors in China from 1961 to 2017 Z Niu, L Wang, X Chen, L Yang, L Feng Environmental Science and Pollution Research 28, 68379-68397, 2021 | 14 | 2021 |
| Spatiotemporal variations of photosynthetically active radiation and the influencing factors in China from 1961 to 2016 Z Niu, L Wang, Y Niu, B Hu, M Zhang, W Qin Theoretical and applied climatology 137, 2049-2067, 2019 | 12 | 2019 |
| Evaluation and future projection of extreme climate events in the Yellow River basin and Yangtze river basin in China using ensembled CMIP5 models data Z Niu, L Feng, X Chen, X Yi International Journal of Environmental Research and Public Health 18 (11), 6029, 2021 | 11 | 2021 |
Lunche WangPh.D, China University of Geosciences, WuhanVerified email at whu.edu.cn
