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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:

A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations
S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 24
Closed Access | Times Cited: 8

Showing 8 citing articles:

A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 46
A systematic literature review on lake water level prediction models
Serkan Özdemir, Muhammad Yaqub, Sevgi Özkan
Environmental Modelling & Software (2023) Vol. 163, pp. 105684-105684
Closed Access | Times Cited: 24
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Extraction, Dynamics, and Driving Factors of Shallow Water Area in Hongze Lake Based on Landsat Imagery
N. Liu, Jinhui Huang, Dandan Xu, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1128-1128
Open Access
Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China
Lijuan Song, Chunqiao Song, Shuangxiao Luo, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113657-113657
Closed Access | Times Cited: 11
Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm
S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, et al.
IEEE Access (2023) Vol. 11, pp. 140900-140913
Open Access | Times Cited: 7
A simplified modeling approach for optimization of urban river systems
Wenwen Feng, Chao Wang, Xiaohui Lei, et al.
Journal of Hydrology (2023) Vol. 623, pp. 129689-129689
Closed Access | Times Cited: 6
Comparative assessment of advanced machine learning techniques for simulation of lake water level fluctuations based on different dimensionality reduction methods
Mostafa Riazi, Maryam Karimi, Saeid Eslamian, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 37-55
Closed Access | Times Cited: 3
Balanced hydropower and ecological benefits in reservoir-river-lake system: An integrated framework with machine learning and game theory
Shuangjun Liu, Xiang Fu, Yu Li, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123746-123746
Closed Access
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