| Optimal impulsive harvesting policy for single population X Zhang, Z Shuai, K Wang Nonlinear Analysis: Real World Applications 4 (4), 639-651, 2003 | 163 | 2003 |
| Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review X Zhang, F Ma, S Yin, CD Wallace, MR Soltanian, Z Dai, RW Ritzi, Z Ma, ... Applied energy 303, 117603, 2021 | 147 | 2021 |
| Composition and functional diversity of microbial community across a mangrove-inhabited mudflat as revealed by 16S rDNA gene sequences X Zhang, BX Hu, H Ren, J Zhang Science of the Total Environment 633, 518-528, 2018 | 146 | 2018 |
| Radionuclide transport in multi-scale fractured rocks: A review X Zhang, F Ma, Z Dai, J Wang, L Chen, H Ling, MR Soltanian Journal of hazardous materials 424, 127550, 2022 | 145 | 2022 |
| The tumor suppressor RASSF1A prevents dephosphorylation of the mammalian STE20-like kinases MST1 and MST2 C Guo, X Zhang, GP Pfeifer Journal of Biological Chemistry 286 (8), 6253-6261, 2011 | 135 | 2011 |
| Vehicular contribution of PAHs in size dependent road dust: A source apportionment by PCA-MLR, PMF, and Unmix receptor models J Zhang, R Li, X Zhang, Y Bai, P Cao, P Hua Science of the Total Environment 649, 1314-1322, 2019 | 124 | 2019 |
| Reactive chemical transport simulations of geologic carbon sequestration: Methods and applications Z Dai, L Xu, T Xiao, B McPherson, X Zhang, L Zheng, S Dong, Z Yang, ... Earth-Science Reviews 208, 103265, 2020 | 118 | 2020 |
| Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project J You, W Ampomah, Q Sun, EJ Kutsienyo, RS Balch, Z Dai, M Cather, ... Journal of Cleaner Production 260, 120866, 2020 | 101 | 2020 |
| Modeling CO2 Solubility in Water at High Pressure and Temperature Conditions A Hemmati-Sarapardeh, MN Amar, MR Soltanian, Z Dai, X Zhang Energy & Fuels 34 (4), 4761-4776, 2020 | 91 | 2020 |
| Hydrogeochemical characterization and groundwater quality assessment in intruded coastal brine aquifers (Laizhou Bay, China) X Zhang, J Miao, BX Hu, H Liu, H Zhang, Z Ma Environmental Science and Pollution Research 24, 21073-21090, 2017 | 79 | 2017 |
| Characterizing microbial diversity and community composition of groundwater in a salt-freshwater transition zone L Chen, BX Hu, H Dai, X Zhang, CA Xia, J Zhang Science of the total environment 678, 574-584, 2019 | 78 | 2019 |
| Multicomponent reactive transport of carbon dioxide in fluvial heterogeneous aquifers MR Soltanian, S Hajirezaie, SA Hosseini, H Dashtian, MA Amooie, ... Journal of Natural Gas Science and Engineering 65, 212-223, 2019 | 75 | 2019 |
| Prediction of groundwater level in seashore reclaimed land using wavelet and artificial neural network-based hybrid model J Zhang, X Zhang, J Niu, BX Hu, MR Soltanian, H Qiu, L Yang Journal of Hydrology 577, 123948, 2019 | 62 | 2019 |
| CDK5RAP2 is required for spindle checkpoint function X Zhang, D Liu, S Lv, H Wang, X Zhong, B Liu, B Wang, J Liao, J Li, ... Cell cycle 8 (8), 1206-1216, 2009 | 61 | 2009 |
| Stage‐wise stochastic deep learning inversion framework for subsurface sedimentary structure identification C Zhan, Z Dai, MR Soltanian, X Zhang Geophysical research letters 49 (1), e2021GL095823, 2022 | 60 | 2022 |
| Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery M Mahdaviara, MN Amar, A Hemmati-Sarapardeh, Z Dai, C Zhang, T Xiao, ... Fuel 285, 119147, 2021 | 55 | 2021 |
| Longitudinal epigenetic and gene expression profiles analyzed by three-component analysis reveal down-regulation of genes involved in protein translation in human aging M Jung, SG Jin, X Zhang, W Xiong, G Gogoshin, AS Rodin, GP Pfeifer Nucleic acids research 43 (15), e100-e100, 2015 | 49 | 2015 |
| An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network C Zhan, Z Dai, J Samper, S Yin, R Ershadnia, X Zhang, Y Wang, Z Yang, ... Journal of Hydrology 610, 127844, 2022 | 47 | 2022 |
| Subsurface sedimentary structure identification using deep learning: A review C Zhan, Z Dai, Z Yang, X Zhang, Z Ma, HV Thanh, MR Soltanian Earth-Science Reviews 239, 104370, 2023 | 45 | 2023 |
| Traffic contribution to polycyclic aromatic hydrocarbons in road dust: a source apportionment analysis under different antecedent dry-weather periods J Zhang, R Li, X Zhang, C Ding, P Hua Science of the total environment 658, 996-1005, 2019 | 30 | 2019 |