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:

Ensemble Learning Based Sustainable Approach to Carbonate Reservoirs Permeability Prediction
Dhiaa Musleh, Sunday O. Olatunji, Abdulmalek A. Almajed, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14403-14403
Open Access | Times Cited: 6

Showing 6 citing articles:

Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach
Dina A. Alabbad, Shahad Y. Ajibi, Raghad B. Alotaibi, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 770-788
Open Access | Times Cited: 6

Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach
Mohammed Gollapalli, Atta Rahman, Sheriff A. Kudos, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 108-108
Open Access | Times Cited: 3

Prediction of Coal Seam Permeability by Hybrid Neural Network Prediction Model
Jian Wang, Zhao Mi-fu, Bowen Wang, et al.
Journal of Energy Engineering (2024) Vol. 150, Iss. 4
Closed Access | Times Cited: 1

Comprehensive input models and machine learning methods to improve permeability prediction
Mohammad Ali Davari, Ali Kadkhodaie
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Improved model development and feature ranking for rock permeability prediction by coupling petrophysical log data and ensemble machine learning techniques
Mohammad Islam Miah, Mohammed Adnan Noor Abir, Md. Ashiqul Islam Shuvo
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1

Predicting Global Energy Consumption Through Data Mining Techniques
Atta Rahman, Hussam Khalid Abahussin, Mohammed Alghamdi, et al.
International Journal of Design & Nature and Ecodynamics (2024) Vol. 19, Iss. 2, pp. 397-406
Open Access

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