| Reactive solute transport in an asymmetrical fracture–rock matrix system R Zhou, H Zhan Advances in water resources 112, 224-234, 2018 | 35 | 2018 |
| Reactive solute transport in a filled single fracture-matrix system under unilateral and radial flows R Zhou, H Zhan, K Chen Advances in Water Resources 104, 183-194, 2017 | 34 | 2017 |
| Subsurface solute transport with one-, two-, and three-dimensional arbitrary shape sources K Chen, H Zhan, R Zhou Journal of contaminant hydrology 190, 44-57, 2016 | 33 | 2016 |
| Mixing effect on reactive transport in a column with scale dependent dispersion Q Wang, H Gu, H Zhan, W Shi, R Zhou Journal of Hydrology 582, 124494, 2020 | 20 | 2020 |
| The seawater Sr/Ca ratio in the past 50 Myr from bulk carbonate sediments corrected for diagenesis S Zhang, R Zhou, DJ DePaolo Earth and Planetary Science Letters 530, 115949, 2020 | 19 | 2020 |
| Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation R Zhou, Y Zhang Environmental Science and Pollution Research 29 (54), 82451-82466, 2022 | 13 | 2022 |
| On the role of rock matrix to heat transfer in a fracture-rock matrix system R Zhou, H Zhan, Y Wang Journal of Contaminant Hydrology 245, 103950, 2022 | 12 | 2022 |
| Transport in a fully coupled asymmetric stratified system: Comparison of scale dependent and independent dispersion schemes R Zhou, H Zhan, K Chen, X Peng Journal of Hydrology X 1, 100001, 2018 | 12 | 2018 |
| On The Role of The Encoder‐Decoder Architecture for Multi‐Step‐Ahead Spring Discharge Prediction with Deep Learning Approaches R Zhou, Y Zhang Hydrological Processes 36 (10), 2022 | 10 | 2022 |
| Comparative performance assessment of physical-based and data-driven machine-learning models for simulating streamflow: A case study in three catchments across the US A Jin, Q Wang, H Zhan, R Zhou Journal of Hydrologic Engineering 29 (2), 05024004, 2024 | 9 | 2024 |
| Linear and nonlinear ensemble deep learning models for karst spring discharge forecasting R Zhou, Y Zhang Journal of Hydrology 627, 130394, 2023 | 9 | 2023 |
| Analytical model for heat transfer in a discrete parallel fracture–rock matrix system R Zhou, Q Wang Groundwater 61 (2), 183-192, 2023 | 9 | 2023 |
| Assessing students' perceptions of blended learning during the COVID-19 pandemic R Zhou, D Chen NACTA Journal 65, 50-56, 2020 | 8 | 2020 |
| A hybrid self-adaptive DWT-WaveNet-LSTM deep learning architecture for karst spring forecasting R Zhou, Y Zhang, Q Wang, A Jin, W Shi Journal of Hydrology 634, 131128, 2024 | 7 | 2024 |
| Predicting and explaining karst spring dissolved oxygen using interpretable deep learning approach R Zhou, Y Zhang Hydrological Processes 37 (8), e14948, 2023 | 6 | 2023 |
| Heat transfer in a fracture embedded in a finite matrix: On the role of geometries and thermal dispersivity in the fracture R Zhou, Q Wang, C Qi International Journal of Thermal Sciences 178, 107602, 2022 | 6 | 2022 |
| Analysis of heat transfer in an aquifer thermal energy storage system: On the role of two-dimensional thermal conduction C Qi, R Zhou, H Zhan Renewable Energy 217, 119156, 2023 | 4 | 2023 |
| Semi-analytical model of heat transport around a well with wellbore mixing effect under multi-step flow rate W Shi, Q Wang, H Yan, X Fu, YM Kuo, R Zhou Journal of Hydrology 625, 130068, 2023 | 4 | 2023 |
| A general model of radial dispersion with wellbore mixing and skin effects W Shi, Q Wang, H Zhan, R Zhou, H Yan Hydrology and Earth System Sciences 27 (9), 1891-1908, 2023 | 4 | 2023 |
| Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode decomposition R Zhou, Q Wang, A Jin, W Shi, S Liu Journal of Hydrology 645, 132235, 2024 | 3 | 2024 |
