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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:

Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations
Jacob Shreve, Sadia Khanani, Tufia C. Haddad
American Society of Clinical Oncology Educational Book (2022), Iss. 42, pp. 842-851
Open Access | Times Cited: 85

Showing 26-50 of 85 citing articles:

Explainable artificial intelligence for omics data: a systematic mapping study
Philipp A Toussaint, Florian Leiser, Scott Thiebes, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 15
New-generation androgen receptor signaling inhibitors (ARSIs) in metastatic hormone-sensitive prostate cancer (mHSPC): pharmacokinetics, drug-drug interactions (DDIs), and clinical impact
Lorenzo Gasperoni, Emilio Francesco Giunta, Daniela Montanari, et al.
Expert Opinion on Drug Metabolism & Toxicology (2024) Vol. 20, Iss. 6, pp. 491-502
Open Access | Times Cited: 4
Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areas
Maria Frasca, Davide La Torre, Marco Repetto, et al.
Discover Analytics (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
Applications of AI in Cancer Detection — A Review of the Specific Ways in which AI Is Being Used to Detect and Diagnose Various Types of Cancer
Shival Dubey, Shailendra Singh Sikarwar
(2025), pp. 147-166
Closed Access
Cancer theragnostics: closing the loop for advanced personalized cancer treatment through the platform integration of therapeutics and diagnostics
Olga V. Sergeeva, Liang Luo, Anthony Guiseppi‐Elie
Frontiers in Bioengineering and Biotechnology (2025) Vol. 12
Open Access
Early-time-point 18F-FDG-PET/CT and other prognostic biomarkers of survival in metastatic melanoma patients receiving immunotherapy
Nežka Hribernik, Katja Strašek, Andrej Studen, et al.
Radiology and Oncology (2025) Vol. 59, Iss. 1, pp. 43-53
Open Access
AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis
Esther Ugo Alum
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Artificial intelligence ethics in precision oncology: balancing advancements in technology with patient privacy and autonomy
Bahareh Farasati Far
Exploration of Targeted Anti-tumor Therapy (2023), pp. 685-689
Open Access | Times Cited: 12
Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review
Nivedita Chakrabarty, Abhishek Mahajan
Clinical Oncology (2023) Vol. 36, Iss. 8, pp. 498-513
Closed Access | Times Cited: 10
Ethics of artificial intelligence in prenatal and pediatric genomic medicine
Simon Coghlan, Christopher Gyngell, Danya F. Vears
Journal of Community Genetics (2023) Vol. 15, Iss. 1, pp. 13-24
Open Access | Times Cited: 10
Healthcare Artificial Intelligence in India and Ethical Aspects
Avik Sarkar, Poorva Singh, Mayuri Varkey
(2024), pp. 107-150
Closed Access | Times Cited: 3
Advances in Machine Learning for Tumour Classification in Cancer of Unknown Primary: A Mini-Review
Karen Oróstica, Felipe Mardones, Yanara A Bernal, et al.
Cancer Letters (2024), pp. 217348-217348
Open Access | Times Cited: 3
Big Data, Machine Learning, and Artificial Intelligence to Advance Cancer Care: Opportunities and Challenges
Andreas Charalambous, Nikolina Dodlek
Seminars in Oncology Nursing (2023) Vol. 39, Iss. 3, pp. 151429-151429
Closed Access | Times Cited: 8
Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
Alhassan Ali Ahmed, Agnieszka Brychcy, Mohamed Abouzid, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 6, pp. 962-962
Open Access | Times Cited: 8
Regenerative bioelectronics: A strategic roadmap for precision medicine
Asish Panda, Bikramjit Basu
Biomaterials (2023) Vol. 301, pp. 122271-122271
Closed Access | Times Cited: 8
From Pixels to Prognosis: A Narrative Review on Artificial Intelligence’s Pioneering Role in Colorectal Carcinoma Histopathology
Suhit Naseri, Samarth Shukla, K M Hiwale, et al.
Cureus (2024)
Open Access | Times Cited: 2
Adaptive Cancer Therapy in the Age of Generative Artificial Intelligence
Youcef Derbal
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 2
Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology
Gregor Duwe, Dominique Mercier, Crispin Wiesmann, et al.
Cancer Medicine (2024) Vol. 13, Iss. 12
Open Access | Times Cited: 2
Pediatric Posterior Fossa Tumors Classification and Explanation-Driven with Explainable Artificial Intelligence Models
Eman Ragab Ashry, Fahima A. Maghraby, Yasser M. Abd El-Latif, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
The Ying and Yang of Ganglioside Function in Cancer
Cara‐Lynne Schengrund
Cancers (2023) Vol. 15, Iss. 22, pp. 5362-5362
Open Access | Times Cited: 6
Novel Computational Methods for Cancer Drug Design
Sekhar Talluri, Mohammad Amjad Kamal, Rama Rao Malla
Current Medicinal Chemistry (2023) Vol. 31, Iss. 5, pp. 554-572
Closed Access | Times Cited: 5
The Unseen Hand: AI-Based Prescribing Decision Support Tools and the Evaluation of Drug Safety and Effectiveness
Harriet Dickinson, Dana Y. Teltsch, Jan Feifel, et al.
Drug Safety (2023) Vol. 47, Iss. 2, pp. 117-123
Closed Access | Times Cited: 5
The Economic Value and Clinical Impact of Artificial Intelligence in Healthcare: A Scoping Literature Review
Weiqi Jiao, Xuan Zhang, F. D'Souza
IEEE Access (2023) Vol. 11, pp. 123445-123457
Open Access | Times Cited: 5
The practical utility of AI-assisted molecular profiling in the diagnosis and management of cancer of unknown primary: an updated review
Shuhui Wang Lorkowski, Josephine K. Dermawan, Brian P. Rubin
Virchows Archiv (2023) Vol. 484, Iss. 2, pp. 369-375
Closed Access | Times Cited: 5
Synthetic Histology Images for Training AI Models: A Novel Approach to Improve Prostate Cancer Diagnosis
Derek J. Van Booven, Cheng-Bang Chen, Oleksander Kryvenko, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

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