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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.

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Showing 15 citing articles:

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy
Cai Huang, Evan A. Clayton, Lilya V. Matyunina, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 134
The emerging roles of artificial intelligence in cancer drug development and precision therapy
Guosheng Liang, Wenguo Fan, Hui Luo, et al.
Biomedicine & Pharmacotherapy (2020) Vol. 128, pp. 110255-110255
Open Access | Times Cited: 115
Network biology and artificial intelligence drive the understanding of the multidrug resistance phenotype in cancer
Beatriz Bueschbell, Ana B. Caniceiro, Pedro M. S. Suzano, et al.
Drug Resistance Updates (2022) Vol. 60, pp. 100811-100811
Open Access | Times Cited: 28
A personalized probabilistic approach to ovarian cancer diagnostics
Dongjo Ban, Stephen N. Housley, Lilya V. Matyunina, et al.
Gynecologic Oncology (2024) Vol. 182, pp. 168-175
Open Access | Times Cited: 6
The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
Artificial Intelligence: An Emerging Intellectual Sword for Battling Carcinomas
Sadaf Arfi, Nimisha Srivastava, Nisha Sharma
Current Pharmaceutical Biotechnology (2023) Vol. 24, Iss. 14, pp. 1784-1794
Closed Access | Times Cited: 4
Employing AI-Powered Decision Support Systems in Recommending the Most Effective Therapeutic Approaches for Individual Cancer Patients: Maximising Therapeutic Efficacy
Thulo Molefi, Rahaba Marima, Demetra Demetriou, et al.
(2023), pp. 259-275
Closed Access | Times Cited: 2
Role of Artificial Intelligence in Cancer Diagnosis and Drug Development
Deepika Paliwal, Shubham Srivastava
Combinatorial Chemistry & High Throughput Screening (2022) Vol. 25, Iss. 13, pp. 2141-2152
Closed Access | Times Cited: 3
Future Directions and Challenges in Overcoming Drug Resistance in Cancer
Sameer Ullah Khan, Shariqa Jan, Kaneez Fatima, et al.
(2024), pp. 351-372
Closed Access
Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention
Marianna-Foteini Dafni, Mohamed Shih, Agnes Zanotto Manoel, et al.
Cancer Causes & Control (2024)
Closed Access
Artificial Intelligence in Oncology
Krzysztof Jeziorski, Robert Olszewski
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 269-269
Open Access
Artificial Intelligence and Machine Learning for Large-Scale Data
Vo Ngoc Phu, Vo Thi Ngoc Tran
EAI/Springer Innovations in Communication and Computing (2018), pp. 71-85
Closed Access | Times Cited: 1
Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatment
Mahda Delshad, Mohammad Amin Omrani, Atieh Pourbagheri‐Sigaroodi, et al.
Iranian Journal of Blood and Cancer (2023) Vol. 15, Iss. 3, pp. 13-41
Open Access
A Personalized Probabilistic Approach to Ovarian Cancer Diagnostics
Dongjo Ban, Stephen N. Housley, Lilya V. Matyunina, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Computational Approaches: A New Frontier in Cancer Research
Shubham Srivastava, Pushpendra Kumar Jain
Combinatorial Chemistry & High Throughput Screening (2023) Vol. 27, Iss. 13, pp. 1861-1876
Closed Access
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