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-based analysis of heavy metal contamination in Chinese lake basin sediments: Assessing influencing factors and policy implications
Luqi Wang, Dongsheng Liu, Yifan Sun, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 283, pp. 116815-116815
Open Access | Times Cited: 7

Showing 7 citing articles:

Machine learning-supported determination for site-specific natural background values of soil heavy metals
Jian Wu, Chengmin Huang
Journal of Hazardous Materials (2025) Vol. 487, pp. 137276-137276
Closed Access | Times Cited: 1

Enhanced prediction of cadmium partitioning in oxidized sediments: The role of Fe hydroxides and ferrihydrite
Buyun Jeong, Jinsung An, Chaeyoung Kim, et al.
The Science of The Total Environment (2025) Vol. 966, pp. 178718-178718
Closed Access | Times Cited: 1

Linking Antibiotic Residues and Antibiotic Resistance Genes to Water Quality Parameters in Urban Reservoirs: A Seasonal Perspective
Sihan Li, Raphinos Tackmore Murava, Qiyue Zhang, et al.
Environments (2025) Vol. 12, Iss. 3, pp. 96-96
Open Access | Times Cited: 1

A data-driven framework to identify influencing factors for soil heavy metal contaminations using random forest and bivariate local Moran's I: A case study
Rui Zhou, Jian Chen, Shiwen Cui, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124172-124172
Closed Access

Trace element removal from wastewater by agricultural biowastes: A data analysis on removal efficacy and optimized conditions
Muhammad Shahid, Sana Khalid, Zeid A. ALOthman, et al.
The Science of The Total Environment (2025) Vol. 975, pp. 179235-179235
Closed Access

Machine Learning Predictive Modelling for Sediment Risk Indices within an Urbanized River Channel
María Alejandra Pimiento, José Anta, Andrés Torres
Journal of Hazardous Materials Advances (2025), pp. 100708-100708
Open Access

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