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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-based modeling of surface sediment concentration in Doce river basin
Uilson Ricardo Venâncio Aires, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129320-129320
Closed Access | Times Cited: 13

Showing 13 citing articles:

A review of recent developments on drought characterization, propagation, and influential factors
Vinícius de Matos Brandão Raposo, Veber Afonso Figueiredo Costa, André Ferreira Rodrigues
The Science of The Total Environment (2023) Vol. 898, pp. 165550-165550
Closed Access | Times Cited: 68
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 61
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: 8
Interpreting and modelling the daily extreme sediment events in karst mountain watersheds
Jun Jing, Rui Li, Linlv Xiao, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171956-171956
Closed Access | Times Cited: 7
Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest
Ram Proshad, Md. Abdur Rahim, Mahfuzur Rahman, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175746-175746
Closed Access | Times Cited: 6
Deep learning for river water quality monitoring: a CNN-BiLSTM approach along the Kaveri River
T. Geetha, C. Chellaswamy, E. Raja, et al.
Sustainable Water Resources Management (2024) Vol. 10, Iss. 3
Closed Access | Times Cited: 5
Comprehensive river water quality monitoring using convolutional neural networks and gated recurrent units: A case study along the Vaigai River
T S Geetha, G. Gandhimathi, C. Chellaswamy, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121567-121567
Closed Access | Times Cited: 5
Integrating deep learning techniques for effective river water quality monitoring and management
C. Chellaswamy, Sriram Anbalagan, S. Dilipkumar, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122477-122477
Closed Access | Times Cited: 5
Flood-Sediment dynamics in small watersheds of the Loess Plateau: Insights from hysteresis analysis, sediment connectivity, and machine learning
Yushan Zhang, Guodong Jia, Xinxiao Yu
Journal of Hydrology (2025), pp. 133219-133219
Closed Access
Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability
Zewei Yue, Nannan Wang, Benda Xu, et al.
Water Resources Research (2025) Vol. 61, Iss. 5
Open Access
Pan evaporation forecasting using empirical and ensemble empirical mode decomposition (EEMD) based data-driven models in the Euphrates sub-basin, Turkey
Cenk Sezen
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3077-3095
Closed Access | Times Cited: 8
Temporal Classification to Improve the Precision of Suspended Sediment Rating Curve (Case Study: Gorganrood Basin)
Meysam Salarijazi, Sajjad Modabber-Azizi, Mahdi Mohammadi, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access
Identifying the primary drivers of soil erosion through machine learning: a comparative analysis of three algorithms
Goldi Jarbais, Pon Harshavardhanan
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2837-2851
Open Access
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