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:

Predicting reservoir temperature of geothermal systems in Western Anatolia, Turkey: A focus on predictive performance and explainability of machine learning models
Bemah Ibrahim, John Owusu Konduah, Isaac Ahenkorah
Geothermics (2023) Vol. 112, pp. 102727-102727
Closed Access | Times Cited: 13

Showing 13 citing articles:

Optimizing geothermal reservoir modeling: A unified bayesian PSO and BiGRU approach for precise history matching under uncertainty
Jar Ullah, Huan Li, Pantelis Soupios, et al.
Geothermics (2024) Vol. 119, pp. 102958-102958
Closed Access | Times Cited: 10

Geothermal reservoir temperature prediction using hydrogeochemical data of Northern Morocco: A machine learning approach
Fatima Zahra Haffou, Lalla Amina Ouzzaouit, Abdelmounim Qarbous, et al.
Geothermics (2025) Vol. 127, pp. 103259-103259
Closed Access | Times Cited: 1

Artificial intelligence applications for accurate geothermal temperature prediction in the lower Friulian Plain (north-eastern Italy)
Danial Sheini Dashtgoli, Michela Giustiniani, Martina Busetti, et al.
Journal of Cleaner Production (2024) Vol. 460, pp. 142452-142452
Open Access | Times Cited: 5

Identification of the formation temperature field by Explainable Artificial Intelligence: A case study of Songyuan City, China
Linzuo Zhang, Xiujuan Liang, Weifei Yang, et al.
Energy (2025), pp. 135172-135172
Closed Access

A Transparent and Valid Framework for Rockburst Assessment: Unifying Interpretable Machine Learning and Conformal Prediction
Bemah Ibrahim, Abigail Tetteh-Asare, Isaac Ahenkorah
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 8, pp. 6211-6225
Closed Access | Times Cited: 3

System dynamics modeling of leveraging geothermal potential in Indonesia towards emission reduction effort: A case study in Indonesia state-owned energy enterprise
Dhamar Yudho Aji, Utomo Sarjono Putro
Renewable energy focus (2024) Vol. 51, pp. 100612-100612
Closed Access | Times Cited: 2

Power generation prediction of a geothermal-thermoelectric hybrid system using intelligent models
Meriç Çetin, Osman Dogukan Urkan, Mahmut Hekim, et al.
Geothermics (2023) Vol. 118, pp. 102911-102911
Closed Access | Times Cited: 5

AOSMA-MLP: A Novel Method for Hybrid Metaheuristics Artificial Neural Networks and a New Approach for Prediction of Geothermal Reservoir Temperature
Ezgi Gürgenç, Osman Altay, Elif Varol Altay
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3534-3534
Open Access | Times Cited: 1

Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access

Regression
Mohammad Ali Ahmadi
Elsevier eBooks (2024), pp. 123-181
Closed Access

A shallow machine learning method based on geothermal drilling data: A case study of well 58–32 at the U.S. FORGE site
Weidong Zhai, Bo Feng, Shuaiyu Liu, et al.
Geothermics (2024) Vol. 127, pp. 103239-103239
Closed Access

AnnRG - An artificial neural network solute geothermometer
Lars H. Ystroem, Mark Vollmer, Thomas Köhl, et al.
Applied Computing and Geosciences (2023) Vol. 20, pp. 100144-100144
Open Access | Times Cited: 1

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