
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach
Jinqi Jiang, Xiang Xiang, Qinhao Zhou, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 29, pp. 12989-12999
Closed Access | Times Cited: 16
Jinqi Jiang, Xiang Xiang, Qinhao Zhou, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 29, pp. 12989-12999
Closed Access | Times Cited: 16
Showing 16 citing articles:
Interpretable machine learning reveals transport of aged microplastics in porous media: Multiple factors co-effect
Yifei Qiu, Jingyu Niu, Chuchu Zhang, et al.
Water Research (2025) Vol. 274, pp. 123129-123129
Closed Access | Times Cited: 3
Yifei Qiu, Jingyu Niu, Chuchu Zhang, et al.
Water Research (2025) Vol. 274, pp. 123129-123129
Closed Access | Times Cited: 3
Predicting biomass conversion and COD removal in wastewater treatment by phototrophic bacteria with interpretable machine learning
Pengfei Hou, Shiqi Liu, Duofei Hu, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124282-124282
Closed Access | Times Cited: 3
Pengfei Hou, Shiqi Liu, Duofei Hu, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124282-124282
Closed Access | Times Cited: 3
Machine Learning Methods for the Prediction of Wastewater Treatment Efficiency and Anomaly Classification with Lack of Historical Data
Igor Gulshin, Olga Kuzina
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10689-10689
Open Access | Times Cited: 4
Igor Gulshin, Olga Kuzina
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10689-10689
Open Access | Times Cited: 4
Using Machine Learning and GPT Models To Enhance Electrochemical Pretreatment of Anaerobic Cofermentation: Prediction, Early Warning, and Biomarker Identification
Jinqi Jiang, Qingshan Lin, Xiaohong Guan, et al.
ACS ES&T Engineering (2025)
Closed Access
Jinqi Jiang, Qingshan Lin, Xiaohong Guan, et al.
ACS ES&T Engineering (2025)
Closed Access
Multifunctional Role of the Biological Sulfur Cycle in Wastewater Treatment: Sulfur Oxidation, Sulfur Reduction, and Sulfur Disproportionation
Xin Jin, Hao Wang, Qingxuan Wu, et al.
Desalination and Water Treatment (2025), pp. 101100-101100
Open Access
Xin Jin, Hao Wang, Qingxuan Wu, et al.
Desalination and Water Treatment (2025), pp. 101100-101100
Open Access
Machine learning-based prediction of desalination capacity of electrochemical performance of nitrogen-doped for capacitive deionization
Hao Kong, Ming Gao, Ran Li, et al.
Desalination (2025), pp. 118820-118820
Closed Access
Hao Kong, Ming Gao, Ran Li, et al.
Desalination (2025), pp. 118820-118820
Closed Access
Machine learning predicts selectivity of green synthesized iron nanoparticles toward typical contaminants: critical factors in synthesis conditions, material properties, and reaction process
Yiwen Xiao, Zhenjun Zhang, Jiajiang Lin, et al.
Environmental Research (2025) Vol. 277, pp. 121605-121605
Closed Access
Yiwen Xiao, Zhenjun Zhang, Jiajiang Lin, et al.
Environmental Research (2025) Vol. 277, pp. 121605-121605
Closed Access
Leveraging big data to elucidate the impact of heavy metal nanoparticles on anammox processes in wastewater treatment
Yanbin Hong, Zhenguo Chen, Zehua Huang, et al.
Journal of Environmental Management (2025) Vol. 382, pp. 125243-125243
Closed Access
Yanbin Hong, Zhenguo Chen, Zehua Huang, et al.
Journal of Environmental Management (2025) Vol. 382, pp. 125243-125243
Closed Access
Innovative Feature Engineering Driven by Chemical Category in Machine Learning for Optimizing the Prediction of Hydroxyl Radical Reaction Rate Constants
Guosen Zhang, Yujie Cheng, Guoqing Zhang, et al.
ACS ES&T Engineering (2025)
Closed Access
Guosen Zhang, Yujie Cheng, Guoqing Zhang, et al.
ACS ES&T Engineering (2025)
Closed Access
Effect of sulfate reduction in sulfur-based mixotrophic denitrification process: positive or negative?
Qi Zhou, Jianlong Wang
Chemical Engineering Journal (2025), pp. 163330-163330
Closed Access
Qi Zhou, Jianlong Wang
Chemical Engineering Journal (2025), pp. 163330-163330
Closed Access
Prediction of airborne bacterial concentrations and identification of critical factors in contaminated waste facilities: Insights into interpretable machine learning models
Yanyan Guo, Youcai Zhao, Guofang Zhang, et al.
Journal of Hazardous Materials (2025) Vol. 494, pp. 138608-138608
Closed Access
Yanyan Guo, Youcai Zhao, Guofang Zhang, et al.
Journal of Hazardous Materials (2025) Vol. 494, pp. 138608-138608
Closed Access
Long-term water quality simulation and driving factors identification within the watershed scale using machine learning
Mingxuan Zhao, Chunzi Ma, Hanxiao Zhang, et al.
Journal of Contaminant Hydrology (2025) Vol. 273, pp. 104604-104604
Closed Access
Mingxuan Zhao, Chunzi Ma, Hanxiao Zhang, et al.
Journal of Contaminant Hydrology (2025) Vol. 273, pp. 104604-104604
Closed Access
Lag in pollutant removal efficiency relative to microbial community dynamics in a denitrifying phosphorus removal bioreactor
Xue Wang, Li-Rong Lilly Cheng, Qiuyang Tan, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 154498-154498
Closed Access | Times Cited: 2
Xue Wang, Li-Rong Lilly Cheng, Qiuyang Tan, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 154498-154498
Closed Access | Times Cited: 2
Machine Learning-powered Pseudo-target Screening of Emerging Contaminants in Water: A Case Study on Tetracyclines
Ye Sun, WU Bao-li, Habit Dong, et al.
Water Research (2024), pp. 123039-123039
Closed Access | Times Cited: 1
Ye Sun, WU Bao-li, Habit Dong, et al.
Water Research (2024), pp. 123039-123039
Closed Access | Times Cited: 1
Degradation of Bisphenol A Using Self-Excited Oscillating Jets in Synergy with Fenton and Periodate Oxidation: Experimental and Artificial Neural Network Modeling Study
Jian Wang, Bingsheng Li, Shiwei Xie, et al.
Water (2024) Vol. 16, Iss. 16, pp. 2326-2326
Open Access
Jian Wang, Bingsheng Li, Shiwei Xie, et al.
Water (2024) Vol. 16, Iss. 16, pp. 2326-2326
Open Access
Novel Insights into the Long-Term Thiosulfate Pretreatment for Enhanced Short-Chain Fatty Acids Production from Sludge Anaerobic Fermentation: Organics Transformation, Electron Transfer, and Microbial Cooperation
Boyi Cheng, Da Zhang, Jinqi Jiang, et al.
ACS ES&T Engineering (2024)
Closed Access
Boyi Cheng, Da Zhang, Jinqi Jiang, et al.
ACS ES&T Engineering (2024)
Closed Access
Optimized strategies for achieving nitrosative accumulation-based on a comprehensive understanding of nitrogen form transformation
Xiaoqian Cheng, Ke Xiong, Tuo Wei, et al.
Chemical Engineering Journal (2024), pp. 158601-158601
Closed Access
Xiaoqian Cheng, Ke Xiong, Tuo Wei, et al.
Chemical Engineering Journal (2024), pp. 158601-158601
Closed Access
Leveraging machine learning for environmental cost management in green accounting
Wilson Cordova, Cristina Teresa N. Lim, Egor Dudukalov, et al.
BIO Web of Conferences (2024) Vol. 141, pp. 04012-04012
Open Access
Wilson Cordova, Cristina Teresa N. Lim, Egor Dudukalov, et al.
BIO Web of Conferences (2024) Vol. 141, pp. 04012-04012
Open Access