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Junjie Zhu
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Year
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
5132021
ChatGPT and environmental research
JJ Zhu, J Jiang, M Yang, ZJ Ren
Environmental Science & Technology 57 (46), 17667-17670, 2023
1562023
Machine learning in environmental research: common pitfalls and best practices
JJ Zhu, M Yang, ZJ Ren
Environmental Science & Technology 57 (46), 17671-17689, 2023
832023
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
752021
Predicting influent biochemical oxygen demand: Balancing energy demand and risk management
JJ Zhu, L Kang, PR Anderson
Water research 128, 304-313, 2018
562018
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
372023
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
372022
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
272023
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
222023
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
192019
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
162015
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
152022
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
152016
The Evolution of Research in Resources, Conservation & Recycling Revealed by Word2vec-Enhanced Data Mining
JJ Zhu, ZJ Ren
Resources, Conservation & Recycling 190, 2023
142023
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
142022
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
132020
Exploring aeration-associated energy savings at a conventional water reclamation plant
JJ Zhu, PR Anderson
Water Science and Technology 76 (8), 2222-2231, 2017
112017
Effect of long-term successive storm flows on water reclamation plant resilience
JJ Zhu, PR Anderson
Water research 111, 1-9, 2017
112017
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
102022
Scale-up and techno-economic analysis of microbial electrolysis cells for hydrogen production from wastewater
J Jiang, JA Lopez-Ruiz, Y Bian, D Sun, Y Yan, X Chen, J Zhu, HD May, ...
Water Research 241, 120139, 2023
92023
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