OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 8 citing articles:

Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
Abdulrahman Alā€Fakih, Abdulazeez Abdulraheem, SanLinn I. Kaka
Deep Underground Science and Engineering (2024) Vol. 3, Iss. 3, pp. 286-301
Open Access | Times Cited: 4

Intelligent multiple parameters optimization methods integrating hydraulic model and SIAs with various constraints for extended reach drilling
Hailong Jiang, Tao Zhang, Yan Xi, et al.
Geoenergy Science and Engineering (2025), pp. 213846-213846
Closed Access

Evaluation of the Degree of Degradation of Brake Pad Friction Surfaces Using Image Processing
Teodor Mandziy, Iryna Ivasenko, Olena Berehulyak, et al.
Lubricants (2024) Vol. 12, Iss. 5, pp. 172-172
Open Access | Times Cited: 1

Three-Pressure Prediction Method for Formation Based on Xgboost-gnn Hybrid Model
Lu Zou, Ming Tang, Shiming He, et al.
(2024)
Closed Access

A digital twin modeling and application for gear rack drilling rigs lifting system
Jiangang Wang, Lei Shi, Feng Ding, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

A Multi-Objective Reinforcement Learning Framework for Real-Time Drilling Optimization Based on Symbolic Regression and Perception
Zehua Song, Yu Song, Jin Min Yang, et al.
Geoenergy Science and Engineering (2024) Vol. 244, pp. 213392-213392
Closed Access

Modeling rate of penetration using hybridization of Artificial Neural Network and Artificial Fish Swarm algorithm
Said Hallai, Abdelmadjid Dobbi, Rabah Kechiched
Petroleum Science and Technology (2024), pp. 1-20
Closed Access

Page 1

Scroll to top