| Inverse modeling of hydrologic systems with adaptive multi‐fidelity Markov chain Monte Carlo simulations J Zhang, J Man, G Lin, L Wu, L Zeng Water Resources Research 54 (7), 4867-4886, 2018 | 44 | 2018 |
| Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter J Man, W Li, L Zeng, L Wu Advances in water resources 92, 258-270, 2016 | 26 | 2016 |
| ANOVA-based transformed probabilistic collocation method for Bayesian data-worth analysis J Man, Q Liao, L Zeng, L Wu Advances in Water Resources 110, 203-214, 2017 | 20 | 2017 |
| Sequential ensemble‐based optimal design for parameter estimation J Man, J Zhang, W Li, L Zeng, L Wu Water Resources Research 52 (10), 7577-7592, 2016 | 19 | 2016 |
| Application of the deep learning algorithm to identify the spatial distribution of heavy metals at contaminated sites J Man, L Zeng, J Luo, W Gao, Y Yao ACS ES&T Engineering 2 (2), 158–168, 2021 | 13 | 2021 |
| Investigating the role of vadose zone breathing in vapor intrusion from contaminated groundwater J Man, G Wang, Q Chen, Y Yao Journal of Hazardous Materials 416, 126272, 2021 | 13 | 2021 |
| Efficient bayesian inverse modeling of water infiltration in layered soils H Gao, J Zhang, C Liu, J Man, C Chen, L Wu, L Zeng Vadose Zone Journal 18 (1), 1-13, 2019 | 13 | 2019 |
| ANOVA-based multi-fidelity probabilistic collocation method for uncertainty quantification J Man, J Zhang, L Wu, L Zeng Advances in Water Resources 122, 176-186, 2018 | 11 | 2018 |
| Adaptive multi-fidelity probabilistic collocation-based Kalman filter for subsurface flow data assimilation: numerical modeling and real-world experiment J Man, Q Zheng, L Wu, L Zeng Stochastic Environmental Research and Risk Assessment 34, 1135–1146, 2020 | 10 | 2020 |
| Improving parameter estimation with an efficient sequential probabilistic collocation-based optimal design method J Man, Q Zheng, L Wu, L Zeng Journal of Hydrology 569, 1-11, 2019 | 10 | 2019 |
| Characterization of vapor intrusion sites with a deep learning-based data assimilation method J Man, Y Guo, J Jin, J Zhang, Y Yao, J Zhang Journal of Hazardous Materials 431, 128600, 2022 | 9 | 2022 |
| Physically simulating the effect of lateral vapor source-building separation on soil vapor intrusion: Influences of surface pavements and soil heterogeneity G Wang, Y Xiao, J Zuo, Y Wang, J Man, W Tang, Q Chen, S Ma, Y Yao Journal of Contaminant Hydrology 235, 103712, 2020 | 8 | 2020 |
| 温度对不同年限日光温室土壤氮素矿化特性的影响 王士超， 周建斌， 陈竹君， 满俊 植物营养与肥料学报, 121-127, 2015 | 8 | 2015 |
| Numerical study of the building pressure cycling method for evaluating vapor intrusion from groundwater contamination Y Liu, J Man, Y Wang, Y Xiao, W Tang, Q Chen, Y Yao Environmental Science and Pollution Research, 1-12, 2020 | 7 | 2020 |
| A generalized multi-fidelity simulation method using sparse polynomial chaos expansion J Man, G Lin, Y Yao, L Zeng Journal of Computational and Applied Mathematics 397, 113613, 2021 | 6 | 2021 |
| Effect of large inputs of manure and fertilizer on nitrogen mineralization in the newly built solar greenhouse soils S Wang, Z Chen, J Man, J Zhou HortScience 54 (9), 1600-1604, 2019 | 5 | 2019 |
| A probabilistic collocation based iterative Kalman filter for landfill data assimilation Q Zheng, W Xu, J Man, L Zeng, L Wu Advances in water resources 109, 170-180, 2017 | 5 | 2017 |
| Modeling and evaluation of NAPL-impacted soil vapor intrusion facilitated by vadose zone breathing J Man, Q Zhou, G Wang, Y Yao Journal of Hydrology 615, 128683, 2022 | 3 | 2022 |
| Exploring the nonlinear partitioning mechanism of volatile organic contaminants between soil and soil vapor using machine learning J Man, M Zhong, Q Zhou, L Jiang, Y Yao Chemosphere 315, 137689, 2023 | 1 | 2023 |
| Database examination, multivariate analysis, and machine learning: Predictions of vapor intrusion attenuation factors J Man, Y Guo, Q Zhou, Y Yao Ecotoxicology and Environmental Safety 242, 113874, 2022 | 1 | 2022 |
