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:

Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 18

Showing 18 citing articles:

AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring
Tomasz Wasilewski, Wojciech Kamysz, Jacek Gębicki
Biosensors (2024) Vol. 14, Iss. 7, pp. 356-356
Open Access | Times Cited: 21

BIBLIOMETRIC ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE RESEARCH: TRENDS AND FUTURE DIRECTIONS
Renganathan Senthil, Thirunavukarasou Anand, Chaitanya Sree Somala, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100182-100182
Open Access | Times Cited: 5

AI-driven microbial medicine development
Komal Dharmani, Anjana Sinha, Navaneet Chaturvedi
Methods in microbiology (2024), pp. 101-124
Closed Access | Times Cited: 4

Artificial intelligence and Computer-Aided Drug Discovery: Methods Development and Application
Haiping Zhang, Yanjie Wei, Konda Mani Saravanan
Methods (2025) Vol. 234, pp. 294-295
Closed Access

Artificial intelligence in experimental studies and in drug design
М. М. Галагудза, Yа. G. Toropova, А. О. Конради
Russian Journal for Personalized Medicine (2025) Vol. 5, Iss. 1, pp. 58-65
Closed Access

The role of artificial intelligence in drug screening, drug design, and clinical trials
Yaojiong Wu, Li Ma, Xinyi Li, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 3

Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures
K Mayuri, Durairaj Varalakshmi, M. Tharaheswari, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 347-359
Open Access | Times Cited: 2

Natural products as drug leads: exploring their potential in drug discovery and development
Kuldeep Singh, Jeetendra Kumar Gupta, Dilip Kumar Chanchal, et al.
Naunyn-Schmiedeberg s Archives of Pharmacology (2024)
Closed Access | Times Cited: 2

DrugSynthMC: an atom based generation of drug-like molecules with Monte Carlo Search
Milo Roucairol, Alexios Georgiou, Tristan Cazenave, et al.
(2024)
Open Access | Times Cited: 1

Non-hemolytic peptide classification using a quantum support vector machine
Shengxin Zhuang, John J. Tanner, Yusen Wu, et al.
Quantum Information Processing (2024) Vol. 23, Iss. 11
Open Access | Times Cited: 1

Personalized precision medicine for oral oncology
Rajiv Periakaruppan, K. T. Abhishekh, C. Nithya, et al.
Oral Oncology Reports (2024) Vol. 10, pp. 100301-100301
Open Access

Technological update for oral health care with blockchain technologies
Chandrabose Selvaraj
Oral Oncology Reports (2024) Vol. 10, pp. 100337-100337
Open Access

DrugSynthMC: An Atom-Based Generation of Drug-like Molecules with Monte Carlo Search
Milo Roucairol, Alexios Georgiou, Tristan Cazenave, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7097-7107
Open Access

Synergizing Human and Machine
Andi Asrifan, Rusmayadi Rusmayadi, Hasmawaty Hasmawaty, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 249-282
Closed Access

Need for Genome specific personalized medicines in ORAL CANCER?
Chandrabose Selvaraj
Oral Oncology Reports (2024) Vol. 10, pp. 100276-100276
Open Access

Non-hemolytic Peptide Classification Using a Quantum Support Vector Machine
Shengxin Zhuang, John J. Tanner, Yusen Wu, et al.
Research Square (Research Square) (2024)
Open Access

Artificial intelligence and Computer-Aided Drug Discovery: Methods Development and Application
Haiping Zhang, Yanjie Wei, Konda Mani Saravanan
Methods (2024) Vol. 231, pp. 55-56
Closed Access

Computational Theories Shaping the Future of Drug Discovery
Pooja Hoovina Venkatesh, Akshay Uttarkar, Vidya Niranjan
Advances in medical technologies and clinical practice book series (2024), pp. 159-182
Closed Access

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