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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:

Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Additive manufacturing in polymer research: Advances, synthesis, and applications
Md Aminul Islam, Md Hosne Mobarak, Md Israfil Hossain Rimon, et al.
Polymer Testing (2024) Vol. 132, pp. 108364-108364
Open Access | Times Cited: 59
Machine learning applications for electrospun nanofibers: a review
Balakrishnan Subeshan, Asonganyi Atayo, Eylem Asmatulu
Journal of Materials Science (2024) Vol. 59, Iss. 31, pp. 14095-14140
Open Access | Times Cited: 17
Influence of multivalent background ions competition adsorption on the adsorption behavior of azo dye molecules and removal mechanism: Based on machine learning, DFT and experiments
Chen Zhao, Wenjun Zhang, Yuxing Zhang, et al.
Separation and Purification Technology (2024) Vol. 341, pp. 126810-126810
Closed Access | Times Cited: 13
Artificial intelligence interventions in 2D MXenes-based photocatalytic applications
Durga Madhab Mahapatra, Ashish Kumar, Rajesh Kumar, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216460-216460
Closed Access | Times Cited: 1
Employing machine learning for advanced gap imputation in solar power generation databases
Tatiane Costa, Bruno Falcão, Mohamed A. Mohamed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Artificial Intelligence and Machine Learning in Tribology: Selected Case Studies and Overall Potential
Raj Shah, Rudy Jaramillo, Garvin Thomas, et al.
Advanced Engineering Materials (2025)
Closed Access
Machine learning algorithms based approach on prediction of mechanical behaviour of PLA/brass composites manufactured by additive manufacturing
Nisha Soms, K. Ravikumar, M Naveen Kumar
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access
Advances in 2D heterostructures for quantum computing applications: A review
Aminul Islam, Safiullah Khan, Juhi Jannat Mim, et al.
Inorganic Chemistry Communications (2025), pp. 113980-113980
Closed Access
A machine learning approach to predicting pervious concrete properties: a review
Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access
Nonlinear Harmonics: A Gateway to Enhanced Image Contrast and Material Discrimination
Pardis Biglarbeigi, Gourav Bhattacharya, Dewar Finlay, et al.
Advanced Science (2025)
Open Access
An automated incremental density-based clustering approach using unsupervised deep learning and multi-objective optimization
Binu Jose A., Pranesh Das
Computers & Electrical Engineering (2025) Vol. 123, pp. 110109-110109
Closed Access
Machine learning of the dynamics of strain hardening based on contact transformations
Joanna� Szyndler, Sebastian Härtel, Markus� Bambach
Journal of Intelligent Manufacturing (2025)
Open Access
Predicting the performance of pervious concrete pavements using artificial intelligence
Abdulkader El-Mir, Dana Nasr, Hilal El-Hassan
Elsevier eBooks (2025), pp. 319-343
Closed Access
The influence of frequency and temperature on the AC-conductivity in $$\text {TlInTe}_2$$ semiconductor single crystal
Mohamed M. Fangary, Mahrous Ahmed
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
Prediction of Composite Performance of Refractory and Ceramic Materials Based on Deep Learning
Xue‐liang Yin, Ruipeng Li, Xun Sun, et al.
JOM (2025)
Closed Access
Machine learning-enhanced prediction of sensible heat storage potential in Kano-Nigeria based on thermogravimetric analysis
Abubakar D. Maiwada, Abdullahi Adamu, Jamilu Usman, et al.
Research Square (Research Square) (2025)
Closed Access
Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement
Jagrati Talreja, Divya Chauhan
Elsevier eBooks (2025), pp. 197-228
Closed Access
Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization
Dianming Chu, Chenyu Gao, Zongchao Ji, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102616-102616
Closed Access
Machine Learning-Driven Prediction of Composite Materials Properties Based on Experimental Testing Data
Kristina Berladir, Katarzyna Antosz, Vitalii Ivanov, et al.
Polymers (2025) Vol. 17, Iss. 5, pp. 694-694
Open Access
Developing new high-entropy alloys with enhanced hardness using a hybrid machine learning approach: integrating interpretability and NSGA-II optimization
Debsundar Dey, Anik Pal, P. Biyani, et al.
Journal of Materials Science (2025)
Closed Access
Applications of Machine Learning Predictive Modeling for Carbon Quantum Dots
Maryam Salahinejad, Ali Roozbahani
Challenges and advances in computational chemistry and physics (2025), pp. 81-108
Closed Access
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Recent advances in metal-organic framework capabilities with machine learning innovations for enhanced drug release systems
Minoosh Lalinia, Nahid Hassanzadeh Nemati, Parinaz Mofazali, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102640-102640
Closed Access
Meta-Analysis of Materials and Treatments Used in Contact Lenses: Implications for Lens Characteristics
Ana Paula Oliveira, Clara Martínez-Pérez
Materials (2025) Vol. 18, Iss. 7, pp. 1445-1445
Open Access
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