| Irrigation scheduling approaches and applications: A review Z Gu, Z Qi, R Burghate, S Yuan, X Jiao, J Xu Journal of Irrigation and Drainage Engineering 146 (6), 04020007, 2020 | 303 | 2020 |
| Root zone water quality model (RZWQM2): Model use, calibration, and validation L Ma, LR Ahuja, BT Nolan, RW Malone, TJ Trout, Z Qi Transactions of the ASABE 55 (4), 1425-1446, 2012 | 250 | 2012 |
| Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa's tile landscapes R Singh, MJ Helmers, Z Qi Agricultural water management 85 (3), 221-232, 2006 | 200 | 2006 |
| An integrated soil-crop system model for water and nitrogen management in North China H Liang, K Hu, WD Batchelor, Z Qi, B Li Scientific reports 6 (1), 25755, 2016 | 156 | 2016 |
| Soil water dynamics under winter rye cover crop in central Iowa Z Qi, MJ Helmers Vadose Zone Journal 9 (1), 53-60, 2010 | 144 | 2010 |
| Effects of alternate wetting and drying irrigation on yield, water and nitrogen use, and greenhouse gas emissions in rice paddy fields H Cheng, K Shu, T Zhu, L Wang, X Liu, W Cai, Z Qi, S Feng Journal of Cleaner Production 349, 131487, 2022 | 122 | 2022 |
| Simulation of maize evapotranspiration: An inter-comparison among 29 maize models BA Kimball, KJ Boote, JL Hatfield, LR Ahuja, C Stockle, S Archontoulis, ... Agricultural and Forest Meteorology 271, 264-284, 2019 | 119 | 2019 |
| Impacts of climate change and human activities on vegetation NDVI in China’s Mu Us Sandy Land during 2000–2019 M Lin, L Hou, Z Qi, L Wan Ecological Indicators 142, 109164, 2022 | 114 | 2022 |
| Simulating long-term impacts of winter rye cover crop on hydrologic cycling and nitrogen dynamics for a corn-soybean crop system Z Qi, MJ Helmers, RW Malone, KR Thorp Transactions of the ASABE 54 (5), 1575-1588, 2011 | 111 | 2011 |
| Neural network soil moisture model for irrigation scheduling Z Gu, T Zhu, X Jiao, J Xu, Z Qi Computers and Electronics in Agriculture 180, 105801, 2021 | 107 | 2021 |
| Development of an irrigation scheduling software based on model predicted crop water stress Z Gu, Z Qi, L Ma, D Gui, J Xu, Q Fang, S Yuan, G Feng Computers and Electronics in Agriculture 143, 208-221, 2017 | 106 | 2017 |
| Nitrate‐nitrogen losses through subsurface drainage under various agricultural land covers Z Qi, MJ Helmers, RD Christianson, CH Pederson Journal of environmental quality 40 (5), 1578-1585, 2011 | 90 | 2011 |
| Modeling the impacts of climate change on nitrogen losses and crop yield in a subsurface drained field Z Wang, Z Qi, L Xue, M Bukovsky, MJ Helmers Climatic Change 129 (1), 323-335, 2015 | 88 | 2015 |
| Development of the DNDC model to improve soil hydrology and incorporate mechanistic tile drainage: A comparative analysis with RZWQM2 W Smith, B Grant, Z Qi, W He, A VanderZaag, CF Drury, M Helmers Environmental Modelling & Software 123, 104577, 2020 | 84 | 2020 |
| Salinity-induced concomitant increases in soil ammonia volatilization and nitrous oxide emission Y Li, J Xu, S Liu, Z Qi, H Wang, Q Wei, Z Gu, X Liu, F Hameed Geoderma 361, 114053, 2020 | 79 | 2020 |
| Soil water dynamics under various agricultural land covers on a subsurface drained field in north-central Iowa, USA Z Qi, MJ Helmers, AL Kaleita Agricultural Water Management 98 (4), 665-674, 2011 | 75 | 2011 |
| Parameterization guidelines and considerations for hydrologic models RW Malone, G Yagow, C Baffaut, MW Gitau, Z Qi, DM Amatya, PB Parajuli, ... Transactions of the ASABE 58 (6), 1681-1703, 2015 | 74 | 2015 |
| Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada R Barzegar, M Ghasri, Z Qi, J Quilty, J Adamowski Journal of Hydrology 577, 123903, 2019 | 68 | 2019 |
| Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate X Chen, Z Qi, D Gui, MW Sima, F Zeng, L Li, X Li, Z Gu Agricultural Water Management 234, 106139, 2020 | 67 | 2020 |
| Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives Q Wei, J Xu, Y Liu, D Wang, S Chen, W Qian, M He, P Chen, X Zhou, Z Qi Agricultural Water Management 296, 108791, 2024 | 57 | 2024 |
R. MaloneUSDA-ARSVerified email at ars.usda.gov
