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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:

Water quality prediction based on sparse dataset using enhanced machine learning
Huang Sheng, Jun Xia, Yueling Wang, et al.
Environmental Science and Ecotechnology (2024) Vol. 20, pp. 100402-100402
Open Access | Times Cited: 8

Showing 8 citing articles:

Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
Mohammad Javad Saravani, Roohollah Noori, Changhyun Jun, et al.
Environmental Science & Technology (2025)
Closed Access | Times Cited: 5
Which riverine water quality parameters can be predicted by meteorologically-driven deep learning?
Huang Sheng, Yueling Wang, Jun Xia
The Science of The Total Environment (2024) Vol. 946, pp. 174357-174357
Closed Access | Times Cited: 6
Artificial intelligence-driven prediction models for the cultivation of Chlorella vulgaris FSP-E in food waste culture medium: A comparative analysis and validation of models
Adityas Agung Ramandani, Jun Wei Roy Chong, Sirasit Srinuanpan, et al.
Algal Research (2025), pp. 103935-103935
Closed Access
Impact of transboundary water flows on quality-induced water pressure in China
Shuman Liu, Junguo Liu, Dandan Zhao, et al.
Communications Earth & Environment (2025) Vol. 6, Iss. 1
Open Access
Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods
Ying Wang, Jing-Ming Dong, Yunchi Zhou, et al.
Environmental Science & Technology (2025)
Closed Access
Fluoride Risk Prognostication: A Pioneering Ensemble Machine Learning Approach for Groundwater Contamination Prediction in Parts of the East Coast of India
Alok Kumar Pati, Alok Ranjan Tripathy, Debabrata Nandi, et al.
Water (2025) Vol. 17, Iss. 6, pp. 909-909
Open Access
Data-driven identification of pollution sources and water quality prediction using Apriori and LSTM models: A case study in the Hanjiang River basin
Mingyang Liu, Jiake Li, Yafang Li, et al.
Journal of Contaminant Hydrology (2025), pp. 104570-104570
Closed Access
Augmented Machine Learning for Sewage Quality Assessment with Limited Data
Jia-Qiang Lv, Wanxin Yin, Jiamin Xu, et al.
Environmental Science and Ecotechnology (2024) Vol. 23, pp. 100512-100512
Open Access | Times Cited: 2
Development of machine learning model for the sustainable phycoremediation of municipal wastewater
Mark Gino Galang, Junhui Chen, Kirk Cobb, et al.
Journal of Water Process Engineering (2024) Vol. 67, pp. 106105-106105
Closed Access
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