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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:

Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks
‪Nikiforos Alygizakis, Theodoros Giannakopoulos, Νikolaos S. Τhomaidis, et al.
The Science of The Total Environment (2022) Vol. 847, pp. 157554-157554
Closed Access | Times Cited: 10

Showing 10 citing articles:

Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends
Shubo Zhang, Ying Jin, Wenkang Chen, et al.
Chemosphere (2023) Vol. 336, pp. 139163-139163
Closed Access | Times Cited: 51
Geospatial Artificial Intelligence (GeoAI) and Satellite Imagery Fusion for Soil Physical Property Predicting
Fatemeh Sadat Hosseini, Myoung Bae Seo, Seyed Vahid Razavi-Termeh, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14125-14125
Open Access | Times Cited: 11
Application of Machine Learning in LC-MS-Based Non-Targeted Analysis
Jin Zhang, Lu Chen, Yu Wang, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118243-118243
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
Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing
José García, Andrés Leiva-Araos, Emerson Diaz-Saavedra, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12497-12497
Open Access | Times Cited: 10
Evaluation of Nontargeted Mass Spectral Data Acquisition Strategies for Water Analysis and Toxicity-Based Feature Prioritization by MS2Tox
Pilleriin Peets, May Britt Rian, Jonathan W. Martin, et al.
Environmental Science & Technology (2024)
Open Access | Times Cited: 2
Recent Findings on the Pollution Levels in the Romanian Black Sea Ecosystem: Implications for Achieving Good Environmental Status (GES) Under the Marine Strategy Framework Directive (Directive 2008/56/EC)
Andra Oros, Valentina Coatu, Nicoleta Damir, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 9785-9785
Open Access | Times Cited: 2
Research on predicting the diffusion of toxic heavy gas sulfur dioxide by applying a hybrid deep learning model to real case data
Yuchen Wang, Zhengshan Luo, Jihao Luo
The Science of The Total Environment (2023) Vol. 901, pp. 166506-166506
Closed Access | Times Cited: 6
Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm
Fatemeh Sadat Hosseini, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4
The supporting role of Artificial Intelligence and Machine/Deep Learning in monitoring the marine environment: a bibliometric analysis
Fabiana Di Ciaccio
Ecological Questions (2024) Vol. 35, Iss. 1, pp. 1-30
Open Access | Times Cited: 1
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