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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 in Environmental Research: Common Pitfalls and Best Practices
Jun‐Jie Zhu, Meiqi Yang, Zhiyong Jason Ren
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17671-17689
Closed Access | Times Cited: 241

Showing 1-25 of 241 citing articles:

Deep learning for water quality
Wei Zhi, Alison P. Appling, Heather E. Golden, et al.
Nature Water (2024) Vol. 2, Iss. 3, pp. 228-241
Closed Access | Times Cited: 61
Guideline for modeling solid-liquid adsorption: Kinetics, isotherm, fixed bed, and thermodynamics
Yu Wang, Chunrong Wang, Xiaoyan Huang, et al.
Chemosphere (2023) Vol. 349, pp. 140736-140736
Closed Access | Times Cited: 53
A review of machine learning for modeling air quality: Overlooked but important issues
Dié Tang, Yu Zhan, Fumo Yang
Atmospheric Research (2024) Vol. 300, pp. 107261-107261
Closed Access | Times Cited: 37
Deciphering carbon emissions in urban sewer networks: Bridging urban sewer networks with city-wide environmental dynamics
Jiaji Chen, Hongcheng Wang, Wanxin Yin, et al.
Water Research (2024) Vol. 256, pp. 121576-121576
Closed Access | Times Cited: 31
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, et al.
Earth s Future (2024) Vol. 12, Iss. 7
Open Access | Times Cited: 27
Prediction of effluent total nitrogen and energy consumption in wastewater treatment plants: Bayesian optimization machine learning methods
Gang Ye, Jinquan Wan, Zhicheng Deng, et al.
Bioresource Technology (2024) Vol. 395, pp. 130361-130361
Closed Access | Times Cited: 21
Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives
Weilin Fu, Menghan Feng, Changbin Guo, et al.
Bioresource Technology (2024) Vol. 403, pp. 130861-130861
Closed Access | Times Cited: 17
MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data
Katarzyna Arturi, Eliza Jane Harris, Lilian Gasser, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access | Times Cited: 2
Understanding Rejection Mechanisms of Trace Organic Contaminants by Polyamide Membranes via Data-Knowledge Codriven Machine Learning
Hejia Wang, Jin Zeng, Ruobin Dai, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 13, pp. 5878-5888
Closed Access | Times Cited: 15
Improving prediction of soil heavy metal(loid) concentration by developing a combined Co-kriging and geographically and temporally weighted regression (GTWR) model
Huijuan Wang, Menglu Zhao, Xinmiao Huang, et al.
Journal of Hazardous Materials (2024) Vol. 468, pp. 133745-133745
Closed Access | Times Cited: 14
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: 14
Enhancing biomass conversion to bioenergy with machine learning: Gains and problems
Rupeng Wang, Zixiang He, Honglin Chen, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172310-172310
Closed Access | Times Cited: 13
Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective
Yipeng Wu, Xingke Ma, Guancheng Guo, et al.
Water Research (2024) Vol. 261, pp. 121999-121999
Closed Access | Times Cited: 13
Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking
Muhammad Adnan, Baohua Xiao, Muhammad Ubaid Ali, et al.
Environmental Challenges (2024) Vol. 16, pp. 100976-100976
Open Access | Times Cited: 13
Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10128-10139
Closed Access | Times Cited: 12
A Review of Machine Learning Techniques in Agroclimatic Studies
Dania Tamayo-Vera, Xiuquan Wang, Morteza Mesbah
Agriculture (2024) Vol. 14, Iss. 3, pp. 481-481
Open Access | Times Cited: 11
ChatGPT Helped Me Build a Chemistry App, and Here’s How You Can Make One Also
Taskeen Hasrod, Yannick Nuapia, Hlanganani Tutu
Journal of Chemical Education (2024) Vol. 101, Iss. 2, pp. 653-660
Closed Access | Times Cited: 10
Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions
Lingxuan Meng, Beihai Zhou, Haijun Liu, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174201-174201
Closed Access | Times Cited: 10
Progress, applications, and challenges in high-throughput effect-directed analysis for toxicity driver identification — is it time for HT-EDA?
Iker Alvarez-Mora, Katarzyna Arturi, Frederic Béen, et al.
Analytical and Bioanalytical Chemistry (2024)
Open Access | Times Cited: 10
Advancing groundwater quality predictions: Machine learning challenges and solutions
Juan Antonio Torres-Martínez, Jürgen Mahlknecht, Manish Kumar, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 174973-174973
Closed Access | Times Cited: 10
Using machine learning to identify indicators of rare earth element enrichment in sedimentary strata with applications for metal prospectivity
Brendan Bishop, Leslie J. Robbins
Journal of Geochemical Exploration (2024) Vol. 258, pp. 107388-107388
Closed Access | Times Cited: 9
Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP
Ruojia Li, Kuanliang Feng, Tong An, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 4, pp. 1904-1915
Closed Access | Times Cited: 9
Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning
Bing Bai, Lixia Wang, Fachun Guan, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134392-134392
Closed Access | Times Cited: 9
An integrated feature selection and hyperparameter optimization algorithm for balanced machine learning models predicting N2O emissions from wastewater treatment plants
Mostafa Khalil, Ahmed AlSayed, Yang Liu, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105512-105512
Open Access | Times Cited: 9
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