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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:

Advances with support vector machines for novel drug discovery
Vinícius Gonçalves Maltarollo, Thales Kronenberger, Gabriel Zarzana Espinoza, et al.
Expert Opinion on Drug Discovery (2018) Vol. 14, Iss. 1, pp. 23-33
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Machine Learning in Drug Discovery: A Review
Suresh Dara, Swetha Dhamercherla, Surender Singh Jadav, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 1947-1999
Open Access | Times Cited: 476
Machine Learning Methods in Drug Discovery
Lauv Patel, Tripti Shukla, Xiuzhen Huang, et al.
Molecules (2020) Vol. 25, Iss. 22, pp. 5277-5277
Open Access | Times Cited: 312
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
Lucas B. Ayres, Federico J.V. Gómez, Jeb R. Linton, et al.
Analytica Chimica Acta (2021) Vol. 1161, pp. 338403-338403
Closed Access | Times Cited: 126
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
Molecular Diversity (2021) Vol. 26, Iss. 3, pp. 1893-1913
Open Access | Times Cited: 125
Artificial intelligence for drug discovery: Resources, methods, and applications
Wei Chen, Xuesong Liu, Sanyin Zhang, et al.
Molecular Therapy — Nucleic Acids (2023) Vol. 31, pp. 691-702
Open Access | Times Cited: 120
Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods
Chinmayee Choudhury, N. Arul Murugan, U. Deva Priyakumar
Drug Discovery Today (2022) Vol. 27, Iss. 7, pp. 1847-1861
Open Access | Times Cited: 79
Machine‐Learning‐Assisted Nanozyme Design: Lessons from Materials and Engineered Enzymes
Jie Zhuang, Adam C. Midgley, Yonghua Wei, et al.
Advanced Materials (2023) Vol. 36, Iss. 10
Closed Access | Times Cited: 73
Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, et al.
Environmental Chemistry Letters (2024) Vol. 22, Iss. 3, pp. 1005-1071
Open Access | Times Cited: 45
Machine Learning in Antibacterial Drug Design
Marko Jukič, Urban Bren
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 41
Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data
Essam H. Houssein, Mosa E. Hosney, Waleed M. Mohamed, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 7, pp. 5251-5275
Open Access | Times Cited: 41
Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Samvedna Singh, Himanshi Gupta, Priyanshu Sharma, et al.
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100039-100039
Open Access | Times Cited: 37
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 30
Design Methods for Antimicrobial Peptides with Improved Performance
James Mwangi, Peter Muiruri Kamau, Rebecca Caroline Thuku, et al.
动物学研究 (2023)
Open Access | Times Cited: 23
Piquing artificial intelligence towards drug discovery: Tools, techniques, and applications
Peter Chinedu Agu, Chidiebere Nwiboko Obulose
Drug Development Research (2024) Vol. 85, Iss. 2
Closed Access | Times Cited: 9
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2024), pp. 1461-1498
Closed Access | Times Cited: 9
Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm
Roya Arian, Amirali Hariri, Alireza Mehridehnavi, et al.
Computational Biology and Chemistry (2020) Vol. 86, pp. 107269-107269
Closed Access | Times Cited: 51
Artificial Intelligence in Pharmacy
Sudipta Das, Rimi Dey, Amit Kumar Nayak
Indian Journal of Pharmaceutical Education and Research (2021) Vol. 55, Iss. 2, pp. 304-318
Open Access | Times Cited: 43
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 20, pp. 1692-1727
Closed Access | Times Cited: 32
DeepCompoundNet: enhancing compound–protein interaction prediction with multimodal convolutional neural networks
Farnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-10
Closed Access | Times Cited: 21
Machine learning toward improving the performance of membrane-based wastewater treatment: A review
Panchan Dansawad, Yanxiang Li, Yize Li, et al.
Advanced Membranes (2023) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 16
Computer-Aided Drug Design
Prasad V. Bharatam
Springer eBooks (2021), pp. 137-210
Closed Access | Times Cited: 39
Machine learning and statistical approach in modeling and optimization of surface roughness in wire electrical discharge machining
Uma Maheshwera Reddy Paturi, Suryapavan Cheruku, Venkat Phani Kumar Pasunuri, et al.
Machine Learning with Applications (2021) Vol. 6, pp. 100099-100099
Open Access | Times Cited: 34
CXCL9, IL2RB, and SPP1, potential diagnostic biomarkers in the co-morbidity pattern of atherosclerosis and non-alcoholic steatohepatitis
Xize Wu, Changbin Yuan, Jiaxiang Pan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders
Muhammad Waleed Iqbal, Muhammad Shahab, Zakir Ullah, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction
Dhekra Saeed, Huanlai Xing, Barakat AlBadani, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
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