| Machine learning: new ideas and tools in environmental science and engineering S Zhong, K Zhang, M Bagheri, JG Burken, A Gu, B Li, X Ma, BL Marrone, ... Environmental science & technology 55 (19), 12741-12754, 2021 | 729 | 2021 |
| Predicting aqueous adsorption of organic compounds onto biochars, carbon nanotubes, granular activated carbons, and resins with machine learning K Zhang, S Zhong, H Zhang Environmental science & technology 54 (11), 7008-7018, 2020 | 169 | 2020 |
| Predicting heavy metal adsorption on soil with machine learning and mapping global distribution of soil adsorption capacities H Yang, K Huang, K Zhang, Q Weng, H Zhang, F Wang Environmental Science & Technology 55 (20), 14316-14328, 2021 | 159 | 2021 |
| Spatial heterogeneity modeling of water quality based on random forest regression and model interpretation F Wang, Y Wang, K Zhang, M Hu, Q Weng, H Zhang Environmental Research 202, 111660, 2021 | 141 | 2021 |
| Shedding light on “Black Box” machine learning models for predicting the reactivity of HO radicals toward organic compounds S Zhong, K Zhang, D Wang, H Zhang Chemical Engineering Journal 405, 126627, 2021 | 109 | 2021 |
| Occurrence of organophosphate flame retardants in farmland soils from Northern China: Primary source analysis and risk assessment Y Ji, Y Wang, Y Yao, C Ren, Z Lan, X Fang, K Zhang, W Sun, AC Alder, ... Environmental Pollution 247, 832-838, 2019 | 81 | 2019 |
| Novel and legacy per-and polyfluoroalkyl substances (PFASs) in a farmland environment: Soil distribution and biomonitoring with plant leaves and locusts Z Lan, Y Yao, JY Xu, H Chen, C Ren, X Fang, K Zhang, L Jin, X Hua, ... Environmental Pollution 263, 114487, 2020 | 65 | 2020 |
| The release and earthworm bioaccumulation of endogenous hexabromocyclododecanes (HBCDDs) from expanded polystyrene foam microparticles B Li, Z Lan, L Wang, H Sun, Y Yao, K Zhang, L Zhu Environmental Pollution 255, 113163, 2019 | 45 | 2019 |
| Spatial and temporal distributions of hexabromocyclododecanes in the vicinity of an expanded polystyrene material manufacturing plant in Tianjin, China H Zhu, K Zhang, H Sun, F Wang, Y Yao Environmental Pollution 222, 338-347, 2017 | 44 | 2017 |
| Strong but reversible sorption on polar microplastics enhanced earthworm bioaccumulation of associated organic compounds J Xu, K Zhang, L Wang, Y Yao, H Sun Journal of Hazardous Materials 423, 127079, 2022 | 37 | 2022 |
| Short-term Lake Erie algal bloom prediction by classification and regression models H Ai, K Zhang, J Sun, H Zhang Water Research 232, 119710, 2023 | 36 | 2023 |
| Sorption of naphthalene and its hydroxyl substitutes onto biochars in single-solute and bi-solute systems with propranolol as the co-solute F Wang, H Sun, X Ren, K Zhang Chemical Engineering Journal 326, 281-291, 2017 | 30 | 2017 |
| Predicting solute descriptors for organic chemicals by a deep neural network (DNN) using basic chemical structures and a surrogate metric K Zhang, H Zhang Environmental Science & Technology 56 (3), 2054-2064, 2022 | 29 | 2022 |
| Machine learning modeling of environmentally relevant chemical reactions for organic compounds K Zhang, H Zhang Acs Es&T Water 4 (3), 773-783, 2022 | 23 | 2022 |
| Changes and release risk of typical pharmaceuticals and personal care products in sewage sludge during hydrothermal carbonization process F Wang, Z Yin, Y Liu, H Sun, H Zhu, H Chen, K Zhang Chemosphere 284, 131313, 2021 | 16 | 2021 |
| (可降解) 微塑料颗粒吸附有机污染物及对其生物有效性的影响 张凯， 孙红文 环境化学 37 (3), 375-382, 2018 | 14 | 2018 |
| Abiotic reduction of organic and inorganic compounds by Fe (II)-associated reductants: comprehensive data sets and machine learning modeling Y Gao, S Zhong, K Zhang, H Zhang Environmental Science & Technology 57 (46), 18026-18037, 2023 | 13 | 2023 |
| Phosphate removal by low-cost industrial byproduct iron shavings: Efficacy and longevity H Ai, K Zhang, CJ Penn, H Zhang Water Research 246, 120745, 2023 | 11 | 2023 |
| Coupling a feedforward network (FN) model to real adsorbed solution theory (RAST) to improve prediction of bisolute adsorption on Resins K Zhang, H Zhang Environmental Science & Technology 54 (23), 15385-15394, 2020 | 8 | 2020 |
| Meta-analysis and machine learning models for anaerobic biodegradation rates of organic contaminants in sediments and sludge Y Cheng, K Zhang, K Huang, H Zhang Environmental Science & Technology 58 (29), 12976-12988, 2024 | 4 | 2024 |
