| 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 | 448 | 2021 |
| ChatGPT and environmental research JJ Zhu, J Jiang, M Yang, ZJ Ren Environmental Science & Technology 57 (46), 17667-17670, 2023 | 133 | 2023 |
| ES&T in the 21st Century: A Data-Driven Analysis of Research Topics, Interconnections, And Trends in the Past 20 Years JJ Zhu, W Dressel, K Pacion, ZJ Ren Environmental Science & Technology 55 (6), 3453–3464, 2021 | 68 | 2021 |
| Machine learning in environmental research: common pitfalls and best practices JJ Zhu, M Yang, ZJ Ren Environmental Science & Technology 57 (46), 17671-17689, 2023 | 56 | 2023 |
| Predicting influent biochemical oxygen demand: Balancing energy demand and risk management JJ Zhu, L Kang, PR Anderson Water research 128, 304-313, 2018 | 53 | 2018 |
| Hybrid modelling of water resource recovery facilities: status and opportunities MY Schneider, W Quaghebeur, S Borzooei, A Froemelt, F Li, R Saagi, ... Water Science and Technology 85 (9), 2503-2524, 2022 | 32 | 2022 |
| Methane Emissions from Municipal Wastewater Collection and Treatment Systems C Song, JJ Zhu, JL Willis, DP Moore, MA Zondlo, ZJ Ren Environmental Science & Technology, 2023 | 29 | 2023 |
| Underestimation of Sector-Wide Methane Emissions from United States Wastewater Treatment DP Moore, NP Li, LP Wendt, SR Castañeda, MM Falinski, JJ Zhu, C Song, ... Environmental Science & Technology 57 (10), 4082-4090, 2023 | 21 | 2023 |
| Predicting Extraction Selectivity of Acetic Acid in Pervaporation by Machine Learning Models with Data Leakage Management M Yang, JJ Zhu, A McGaughey, S Zheng, RD Priestley, ZJ Ren Environmental Science & Technology 57 (14), 5934-5946, 2023 | 16 | 2023 |
| Margin of Safety in TMDLs: Natural Language Processing-Aided Review of the State of Practice R Nunoo, P Anderson, S Kumar, JJ Zhu Journal of Hydrologic Engineering 25 (4), 2020 | 15 | 2020 |
| Performance evaluation of the ISMLR package for predicting the next day's influent wastewater flowrate at Kirie WRP JJ Zhu, PR Anderson Water Science and Technology 80 (4), 695-706, 2019 | 15 | 2019 |
| Assessment of a soft sensor approach for determining influent conditions at the MWRDGC Calumet WRP JJ Zhu, PR Anderson Journal of Environmental Engineering 142 (6), 04016023, 2016 | 15 | 2016 |
| Deep Learning Optimization for Soft Sensing of Hard-to-Measure Wastewater Key Variables J Zhu, S Borzooei, J Sun, ZJ Ren ACS ES&T Engineering, 2022 | 13 | 2022 |
| Assessment of deep learning and classical statistical methods on forecasting hourly natural gas demand at multiple sites in Spain A Rehman, JJ Zhu, J Segovia, PR Anderson Energy 244, 122562, 2022 | 13 | 2022 |
| Defining influent scenarios: application of cluster analysis to a water reclamation plant JJ Zhu, J Segovia, PR Anderson Journal of Environmental Engineering 141 (7), 04015005, 2015 | 13 | 2015 |
| The Evolution of Research in Resources, Conservation & Recycling Revealed by Word2vec-Enhanced Data Mining JJ Zhu, ZJ Ren Resources, Conservation & Recycling 190, 2023 | 12 | 2023 |
| Exploring aeration-associated energy savings at a conventional water reclamation plant JJ Zhu, PR Anderson Water Science and Technology 76 (8), 2222-2231, 2017 | 11 | 2017 |
| Effect of long-term successive storm flows on water reclamation plant resilience JJ Zhu, PR Anderson Water research 111, 1-9, 2017 | 11 | 2017 |
| A hybrid methodology to quantitatively identify inorganic aerosol of PM2. 5 source contribution YC Chen, RH Shie, JJ Zhu, CY Hsu Journal of Hazardous Materials 428, 128173, 2022 | 9 | 2022 |
| Cyber-physical system for a water reclamation plant: Balancing aeration, energy, and water quality to maintain process resilience J Zhu Illinois Institute of Technology, 2015 | 9 | 2015 |
Zhiyong Jason RenProfessor of Civil & Environ. Eng & Andlinger Center, Princeton UniversityVerified email at princeton.edu
