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:

Prediction of Cutting Forces in Hard Turning Process Using Machine Learning Methods: A Case Study
Souâd Makhfi, Abdelhakim Dorbane, Fouzi Harrou, et al.
Journal of Materials Engineering and Performance (2023) Vol. 33, Iss. 17, pp. 9095-9111
Closed Access | Times Cited: 12

Showing 12 citing articles:

Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access

Predictive modeling and optimization of ultimate tensile strength in friction stir welding of Al6061 using DOE and genetic algorithms
Kaddour Bahram, Djafar Ait Kaci, Mohammed Chaib, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access

Enhancing Defect Detection in Steel Plate Manufacturing with Explainable Machine Learning and SMOTE for Imbalanced Data
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun
Journal of Materials Engineering and Performance (2025)
Closed Access

Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis
Abdelhakim Dorbane, Fouzi Harrou, Daniel-Constantin Anghel, et al.
Journal of Failure Analysis and Prevention (2023) Vol. 24, Iss. 1, pp. 229-244
Closed Access | Times Cited: 9

Explainable machine learning for enhancing predictive accuracy of cutting forces in hard turning processes
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 3

Prediction of the cutting forces in milling operation based on multi-objective optimization of the time series analysis parameters
Masoud Pour, Mohsen Fallah
Machining Science and Technology (2024) Vol. 28, Iss. 4, pp. 597-625
Closed Access | Times Cited: 1

Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning
Raman Kumar, Mohammad Rafıghı, Mustafa Özdemir, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 1

A New Dynamics Analysis Model for Five-Axis Machining of Curved Surface Based on Dimension Reduction and Mapping
Minglong Guo, Zhaocheng Wei, Minjie Wang, et al.
Chinese Journal of Mechanical Engineering (2023) Vol. 36, Iss. 1
Open Access | Times Cited: 2

Detecting Faulty Steel Plates Using Machine Learning
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun
Communications in computer and information science (2024), pp. 321-333
Closed Access

Gaussian Processes for Efficient Photovoltaic Power Prediction
Fethi Achouri, Mehdi Damou, Fouzi Harrou, et al.
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2023), pp. 290-295
Closed Access | Times Cited: 1

Page 1

Scroll to top