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OpenAlex Citation Counts

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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:

Machine Learning Models for Inverse Design of the Electrochemical Oxidation Process for Water Purification
Ye Sun, Zhiyuan Zhao, Hailong Tong, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17990-18000
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Unlocking Drivers of Country-Specific Sensitivities of Atmospheric Greenhouse Gas Accumulation: Preparing for Future Pandemic Management
Chen Wang, Wei Wei, Xueming Chen, et al.
Environmental Science & Technology (2025)
Closed Access
Using physical method, machine learning and hybrid method to model soil water movement
Jinjun Zhou, Tianyi Huang, Hao Wang, et al.
Journal of Hydrology (2025), pp. 132639-132639
Closed Access
Interpretable Machine Learning Models Delivering a New Perspective for the Reaction Mechanism between Organic Pollutants and Oxidative Radicals
Yiqiu Wu, Zhixiang Wang, Guangfei Yu, et al.
Environmental Science & Technology (2025)
Closed Access
Discovery of an End-to-End Pattern for Contaminant-Oriented Advanced Oxidation Processes Catalyzed by Biochar with Explainable Machine Learning
Rupeng Wang, Honglin Chen, Zixiang He, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 5
Predictive modeling of Enterococcus sp. removal with limited data from different advanced oxidation processes: A machine learning approach
Pavel Pascacio, David Vicente, Fernando Salazar, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112530-112530
Open Access | Times Cited: 4
Deciphering N-Doped Biochar Design for Non-Radical Pathways through Hierarchical Machine Learning
Rupeng Wang, Zixiang He, Honglin Chen, et al.
ACS ES&T Engineering (2024) Vol. 4, Iss. 7, pp. 1738-1747
Closed Access | Times Cited: 4
Autoencoded chemical feature interaction machine learning method boosting performance of piezoelectric catalytic process
Wei Zhuang, Xiao Zhao, Yiying Zhang, et al.
Nano Energy (2024) Vol. 126, pp. 109670-109670
Closed Access | Times Cited: 3
An intelligent approach: Integrating ChatGPT for experiment planning in biochar immobilization of soil cadmium
Hongwei Yang, Jie Wang, Rumeng Mo, et al.
Separation and Purification Technology (2024) Vol. 352, pp. 128170-128170
Closed Access | Times Cited: 3
Improving prediction of N2O emissions during composting using model-agnostic meta-learning
Shuai Shi, Jiaxin Bao, Zhiheng Guo, et al.
The Science of The Total Environment (2024) Vol. 922, pp. 171357-171357
Closed Access | Times Cited: 2
Machine learning-aided inverse design for biogas upgrading through biological CO2 conversion
Jiasi Sun, Yue Rao, Zhen He
Bioresource Technology (2024) Vol. 399, pp. 130549-130549
Closed Access | Times Cited: 2
Gradient boosting decision tree algorithms for accelerating nanofiltration membrane design and discovery
Weijia Gong, Hangbin Xu, Jinyan Lu, et al.
Desalination (2024) Vol. 592, pp. 118072-118072
Closed Access | Times Cited: 2
Predicting the Performance of Lithium Adsorption and Recovery from Unconventional Water Sources with Machine Learning
Ziyang Xu, Yihao Ding, Soyeon Caren Han, et al.
Water Research (2024) Vol. 266, pp. 122374-122374
Closed Access | Times Cited: 2
Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learning
Shiyu Sun, Yangmin Ren, Yongyue Zhou, et al.
Chemosphere (2024) Vol. 363, pp. 142701-142701
Closed Access | Times Cited: 1
Accelerating integrated prediction, analysis and targeted optimization for anaerobic digestion of biomass after hydrothermal pretreatment using automated machine learning
Yi Zhang, Xingru Yang, Yijing Feng, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114688-114688
Closed Access | Times Cited: 1
Biochar-based persulfate activation: Rate constant prediction, key variables identification, and system optimization
Nurul Alvia Istiqomah, Donghwi Jung, Jeehyeong Khim
Journal of Water Process Engineering (2024) Vol. 65, pp. 105839-105839
Closed Access | Times Cited: 1
Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation
Miao Lv, Qianjing Yao, Zemin Qin, et al.
Elsevier eBooks (2024), pp. 475-490
Closed Access
Towards the Optimization of Advanced Oxidation Processes Using Machine Learning Modelling: The DIGIT4WATER Project
David Vicente, Pavel Pascacio, Fernando Salazar, et al.
Lecture notes in civil engineering (2024), pp. 382-387
Closed Access
Implementation of Machine Learning Models for Predicting the Inactivation Performance of Escherichia Coli in Wastewater Through Varied Photo-Chemical Processes and Aqueous Matrix Combinations
Pavel Pascacio, David Vicente, Fernando Salazar, et al.
Lecture notes in civil engineering (2024), pp. 388-393
Closed Access
Machine learning model to predict rate constants for sonochemical degradation of organic pollutants
Iseul Na, Tae Ho Kim, Pengpeng Qiu, et al.
Ultrasonics Sonochemistry (2024) Vol. 110, pp. 107032-107032
Closed Access
Task Decomposition Strategy Based on Machine Learning for Boosting Performance and Identifying Mechanisms in Heterogeneous Activation of Peracetic Acid Process
Wei Zhuang, Xiao Zhao, Qianqian Luo, et al.
Water Research (2024) Vol. 267, pp. 122521-122521
Closed Access
Machine learning assisted prediction and process validation of electrochemically induced phosphorus recovery from wastewater
Alisha Zaffar, Muhil Raj Prabhakar, Chong Liu, et al.
Journal of environmental chemical engineering (2024), pp. 114271-114271
Closed Access
Machine learning in electrochemical oxidation process: A mini-review
Zonglin Li, Shihua Zou, Zining Wang, et al.
Chinese Chemical Letters (2024), pp. 110526-110526
Closed Access
Simulation algorithm of greenhouse soil water movement based on cellular automata
Jinjun Zhou, Tianyi Huang, Hao Wang, et al.
Applied Water Science (2024) Vol. 14, Iss. 10
Open Access
Toward the development of an ML-driven decision support system for wastewater treatment: A bacterial inactivation prediction approach in solar photochemical processes
Pavel Pascacio, David Vicente, Ilaria Berruti, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123537-123537
Closed Access
Machine learning-based prediction of compost maturity and identification of key parameters during manure composting
Shuai Shi, Zhiheng Guo, Jiaxin Bao, et al.
Bioresource Technology (2024) Vol. 419, pp. 132024-132024
Closed Access
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