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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:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Jin Li, Meisa Zhou, Hong‐Hui Wu, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 20
Closed Access | Times Cited: 51
Navigating the landscape of enzyme design: from molecular simulations to machine learning
Jiahui Zhou, Meilan Huang
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8202-8239
Open Access | Times Cited: 21
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: 18
The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease
Mohammad R.M. Abu‐Zahra, Abdulla Al‐Taher, Mohamed Alquhaidan, et al.
Drug Metabolism and Personalized Therapy (2024) Vol. 39, Iss. 2, pp. 47-58
Closed Access | Times Cited: 17
Data Generation for Machine Learning Interatomic Potentials and Beyond
Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers, et al.
Chemical Reviews (2024) Vol. 124, Iss. 24, pp. 13681-13714
Closed Access | Times Cited: 17
Machine Learning-Assisted Design of Advanced Polymeric Materials
Liang Gao, Jiaping Lin, Liquan Wang, et al.
Accounts of Materials Research (2024) Vol. 5, Iss. 5, pp. 571-584
Open Access | Times Cited: 16
Applying statistical modeling strategies to sparse datasets in synthetic chemistry
Brittany C. Haas, Dipannita Kalyani, Matthew S. Sigman
Science Advances (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 3
Integrated Molecular Modeling and Machine Learning for Drug Design
Song Xia, Eric Chen, Yingkai Zhang
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 21, pp. 7478-7495
Open Access | Times Cited: 30
Analysing Influential Factors in Student Academic Achievement: Prediction Modelling and Insight
Fahmida Faiza Ananna, Ruchira Nowreen, Sakhar Saad Rashid Al Jahwari, et al.
International Journal of Emerging Multidisciplinaries Computer Science & Artificial Intelligence (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 23
Investigation of direct contact membrane distillation (DCMD) performance using CFD and machine learning approaches
Moslem Abrofarakh, Hamid Moghadam, Hassan K. Abdulrahim
Chemosphere (2024) Vol. 357, pp. 141969-141969
Closed Access | Times Cited: 14
Practical Machine Learning-Assisted Design Protocol for Protein Engineering: Transaminase Engineering for the Conversion of Bulky Substrates
Marian J. Menke, Yu‐Fei Ao, Uwe T. Bornscheuer
ACS Catalysis (2024) Vol. 14, Iss. 9, pp. 6462-6469
Closed Access | Times Cited: 13
Deep learning for low-data drug discovery: Hurdles and opportunities
Derek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, et al.
Current Opinion in Structural Biology (2024) Vol. 86, pp. 102818-102818
Open Access | Times Cited: 13
Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields
Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad, et al.
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 12
Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions
Xin Li, Lei Zhang, Jingsi Yang, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 231-243
Closed Access | Times Cited: 12
Exploring Multiple Instance Learning (MIL): A brief survey
Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123893-123893
Closed Access | Times Cited: 11
User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals
Olga Kapustina, Polina Burmakina, Nina Gubina, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100072-100072
Open Access | Times Cited: 11
Stimuli-Responsive Chiral Cellulose Nanocrystals Based Self-Assemblies for Security Measures to Prevent Counterfeiting: A Review
Shiva Singh, Shakshi Bhardwaj, Nitesh Choudhary, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 32, pp. 41743-41765
Closed Access | Times Cited: 11
Development and validation of a quick, automated, and reproducible ATR FT-IR spectroscopy machine-learning model for Klebsiella pneumoniae typing
Ângela Novais, Ana Beatriz Rodrigues Gonçalves, Teresa Gonçalves Ribeiro, et al.
Journal of Clinical Microbiology (2024) Vol. 62, Iss. 2
Open Access | Times Cited: 10
Triggering nanoconfinement effect in advanced oxidation processes (AOPs) for boosted degradation of organic contaminants: A review
Junsuo Li, Yongshuo Wang, Ziqian Wang, et al.
Chemical Engineering Journal (2024) Vol. 503, pp. 158428-158428
Closed Access | Times Cited: 9
Machine learning-assisted carbon dots synthesis and analysis: state of the art and future directions
Fanyong Yan, Ruixue Bai, Juanru Huang, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118141-118141
Closed Access | Times Cited: 1
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Changsen Bai, Lianlian Wu, Ruijiang Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
TS-DETR: Multi-scale DETR for traffic sign detection and recognition
Yang Cui, Yi Han, Dong Guo
Pattern Recognition Letters (2025)
Closed Access | Times Cited: 1
Data‐Driven Protein Engineering for Improving Catalytic Activity and Selectivity
Yu‐Fei Ao, Mark Dörr, Marian J. Menke, et al.
ChemBioChem (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 22
Optimized Machine learning techniques Enable prediction of organic dyes photophysical Properties: Absorption Wavelengths, emission Wavelengths, and quantum yields
Kapil Dev Mahato, Uday Kumar
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 308, pp. 123768-123768
Closed Access | Times Cited: 19
Top 20 influential AI-based technologies in chemistry
Valentine P. Ananikov
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 8
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