| The discharge forecasting of multiple monitoring station for humber river by hybrid LSTM models Y Zhang, Z Gu, JVG Thé, SX Yang, B Gharabaghi Water 14 (11), 1794, 2022 | 26 | 2022 |
| Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing Y Zhang, Z Zhou, J Van Griensven Thé, SX Yang, B Gharabaghi Water 15 (22), 3982, 2023 | 18 | 2023 |
| Dissolved Oxygen Forecasting for Lake Erie’s Central Basin Using Hybrid Long Short-Term Memory and Gated Recurrent Unit Networks D Pan, Y Zhang, Y Deng, J Van Griensven Thé, SX Yang, B Gharabaghi Water 16 (5), 707, 2024 | 6 | 2024 |
| Intelligent flood forecasting and warning: A survey Y Zhang, D Pan, J Van Griensven, SX Yang, B Gharabaghi Intelligence & Robotics 3 (2), 190-212, 2023 | 6 | 2023 |
| Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods Y Zhang, Z Zhou, Y Deng, D Pan, J Van Griensven Thé, SX Yang, ... Water 16 (9), 1284, 2024 | 4 | 2024 |
| Deep learning approaches for object recognition in plant diseases: a review Z Zhou, Y Zhang, Z Gu, SX Yang OAE Publishing Inc., 2023 | 4 | 2023 |
| Review of recent advances in remote sensing and machine learning methods for lake water quality management Y Deng, Y Zhang, D Pan, SX Yang, B Gharabaghi Remote Sensing 16 (22), 4196, 2024 | 1 | 2024 |