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:

Sand fraction prediction from seismic attributes using optimized support vector regression in an oil reservoir
Mohammad Sadegh Amiri Bakhtiar, Ghasem Zargar, Mohammad Ali Riahi, et al.
Earth Science Informatics (2020) Vol. 13, Iss. 2, pp. 405-416
Closed Access | Times Cited: 6

Showing 6 citing articles:

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Daniel Asante Otchere, Tarek Ganat, Raoof Gholami, et al.
Journal of Petroleum Science and Engineering (2020) Vol. 200, pp. 108182-108182
Closed Access | Times Cited: 355

Porosity reconstruction based on Biot elastic model of porous media by homotopy perturbation method
Tao Liu
Chaos Solitons & Fractals (2022) Vol. 158, pp. 112007-112007
Closed Access | Times Cited: 45

Prediction of coal mine gas emission based on hybrid machine learning model
Shenghao Bi, Liangshan Shao, Zihan Qi, et al.
Earth Science Informatics (2022) Vol. 16, Iss. 1, pp. 501-513
Closed Access | Times Cited: 8

Prediction of Floor Failure Depth in Coal Mines: A Case Study of Xutuan Mine, China
Feng Yu, Yaoshan Bi, Dong Li
Water (2024) Vol. 16, Iss. 22, pp. 3262-3262
Open Access

A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods
Ömer Ekmekcioğlu, Eyyup Ensar Başakın, Nilcan Altınbaş, et al.
Theoretical and Applied Climatology (2022) Vol. 151, Iss. 1-2, pp. 81-98
Closed Access | Times Cited: 1

Prediction of coal mine gas emission based on hybrid machine learning model
Shenghao Bi, Liangshan Shao, Zihan Qi, et al.
Research Square (Research Square) (2022)
Open Access

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