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:

A Graph Neural Network Model with a Transparent Decision-Making Process Defines the Applicability Domain for Environmental Estrogen Screening
Fan Fan, Gang Wu, Yining Yang, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18236-18245
Closed Access | Times Cited: 8

Showing 8 citing articles:

Scientific and technological innovations of wastewater treatment in China
Hui Huang, Rui Ma, Hongqiang Ren
Frontiers of Environmental Science & Engineering (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 11

Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network
Wanxin Yin, Kehua Chen, Jia-Qiang Lv, et al.
Environmental Science & Technology (2025)
Closed Access | Times Cited: 1

FT-GNN Tool for Bridging HRMS Features and Bioactivity: Uncovering Unidentified Estrogen Receptor Agonists in Sewage
Fan Fan, Fu Liu, Qingmiao Yu, et al.
Environmental Science & Technology (2025)
Closed Access

Subgraph2vec: A Random Walk-Based Algorithm for Embedding Knowledge Graphs
Elika Bozorgi, Saber Soleymani, Sakher Khalil Alqaiidi, et al.
Communications in computer and information science (2025), pp. 16-25
Closed Access

A novel data-driven screening method of antidepressants stability in wastewater and the guidance of environmental regulations
Peixuan Sun, Huaishi Liu, Yuanyuan Zhao, et al.
Environment International (2025), pp. 109427-109427
Open Access

Construction of an antidepressant priority list based on functional, environmental, and health risks using an interpretable mixup-transformer deep learning model
Peixuan Sun, Huaishi Liu, Yuanyuan Zhao, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134651-134651
Closed Access | Times Cited: 1

Beyond Predictions: An Interpretable Machine Learning Approach for Battery Performance Forecasting
Jieun Kim, Injun Choi, Ju Seong Kim, et al.
Research Square (Research Square) (2024)
Open Access

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