| Re-evaluation of the power of the Mann-Kendall test for detecting monotonic trends in hydrometeorological time series F Wang, W Shao, H Yu, G Kan, X He, D Zhang, M Ren, G Wang Frontiers in Earth Science 8, 14, 2020 | 233 | 2020 |
| A framework for flood risk analysis and benefit assessment of flood control measures in urban areas C Li, X Cheng, N Li, X Du, Q Yu, G Kan International journal of environmental research and public health 13 (8), 787, 2016 | 121 | 2016 |
| Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model G Kan, C Yao, Q Li, Z Li, Z Yu, Z Liu, L Ding, X He, K Liang Stochastic environmental research and risk assessment 29, 1345-1370, 2015 | 85 | 2015 |
| Improving water quantity simulation & forecasting to solve the energy-water-food nexus issue by using heterogeneous computing accelerated global optimization method G Kan, M Zhang, K Liang, H Wang, Y Jiang, J Li, L Ding, X He, Y Hong, ... Applied Energy 210, 420-433, 2018 | 64 | 2018 |
| Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data D Zuo, S Cai, Z Xu, D Peng, G Kan, W Sun, B Pang, H Yang Agricultural Water Management 222, 125-138, 2019 | 61 | 2019 |
| Drought and carbon cycling of grassland ecosystems under global change: a review T Lei, Z Pang, X Wang, L Li, J Fu, G Kan, X Zhang, L Ding, J Li, S Huang, ... Water 8 (10), 460, 2016 | 60 | 2016 |
| Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China D Zuo, Y Han, Z Xu, P Li, C Ban, W Sun, B Pang, D Peng, G Kan, R Zhang, ... Journal of Hydrology 600, 126532, 2021 | 53 | 2021 |
| Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China D Zuo, S Cai, Z Xu, F Li, W Sun, X Yang, G Kan, P Liu Theoretical and Applied Climatology 131, 271-284, 2018 | 52 | 2018 |
| Study on applicability of conceptual hydrological models for flood forecasting in humid, semi-humid semi-arid and arid basins in China G Kan, X He, L Ding, J Li, K Liang, Y Hong Water 9 (10), 719, 2017 | 46 | 2017 |
| A new hybrid data-driven model for event-based rainfall–runoff simulation G Kan, J Li, X Zhang, L Ding, X He, K Liang, X Jiang, M Ren, H Li, F Wang, ... Neural Computing and Applications 28, 2519-2534, 2017 | 44 | 2017 |
| Computer aided numerical methods for hydrological model calibration: An overview and recent development G Kan, X He, J Li, L Ding, Y Hong, H Zhang, K Liang, M Zhang Archives of Computational Methods in Engineering 26, 35-59, 2019 | 43 | 2019 |
| A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach G Kan, T Lei, K Liang, J Li, L Ding, X He, H Yu, D Zhang, D Zuo, Z Bao, ... IEEE transactions on parallel and distributed systems 28 (2), 332-344, 2016 | 43 | 2016 |
| Applying the ensemble artificial neural network-based hybrid data-driven model to daily total load forecasting J Dong, C Zheng, G Kan, M Zhao, J Wen, J Yu Neural Computing and Applications 26, 603-611, 2015 | 39 | 2015 |
| A comparison of flood control standards for reservoir engineering for different countries M Ren, X He, G Kan, F Wang, H Zhang, H Li, D Cao, H Wang, D Sun, ... Water 9 (3), 152, 2017 | 35 | 2017 |
| The first comparisons of IMERG and the downscaled results based on IMERG in hydrological utility over the Ganjiang River basin Z Ma, X Tan, Y Yang, X Chen, G Kan, X Ji, H Lu, J Long, Y Cui, Y Hong Water 10 (10), 1392, 2018 | 31 | 2018 |
| Improved neural network model and its application in hydrological simulation Z Li, G Kan, C Yao, Z Liu, Q Li, S Yu Journal of Hydrologic Engineering 19 (10), 04014019, 2014 | 31 | 2014 |
| Acceleration of three-dimensional Tokamak magnetohydrodynamical code with graphics processing unit and OpenACC heterogeneous parallel programming HW Zhang, J Zhu, ZW Ma, GY Kan, X Wang, W Zhang International Journal of Computational Fluid Dynamics 33 (10), 393-406, 2019 | 28 | 2019 |
| Investigating China’s Urban Air Quality Using Big Data, Information Theory, and Machine Learning S Chen, G Kan, J Li, K Liang, Y Hong | 28 | 2017 |
| Accelerating the SCE-UA global optimization method based on multi-core CPU and many-core GPU G Kan, K Liang, J Li, L Ding, X He, Y Hu, M Amo-Boateng Advances in Meteorology 2016, 2016 | 28 | 2016 |
| Hybrid machine learning hydrological model for flood forecast purpose G Kan, K Liang, H Yu, B Sun, L Ding, J Li, X He, C Shen Open Geosciences 12 (1), 813-820, 2020 | 26 | 2020 |
Yang HongCivil Engineering Environmental Science & Remote Sensing and GISBestätigte E-Mail-Adresse bei ou.edu
