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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:

Big data and artificial intelligence in cancer research
Xifeng Wu, Wenyuan Li, Huakang Tu
Trends in cancer (2023) Vol. 10, Iss. 2, pp. 147-160
Closed Access | Times Cited: 18

Showing 18 citing articles:

Advances in Precision Medicine Approaches for Colorectal Cancer: From Molecular Profiling to Targeted Therapies
Neelakanta Sarvashiva Kiran, Chandrashekar Yashaswini, Rahul Maheshwari, et al.
ACS Pharmacology & Translational Science (2024) Vol. 7, Iss. 4, pp. 967-990
Open Access | Times Cited: 14
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
Bitao Jiang, Lingling Bao, Songqin He, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 6
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
Worldwide Research Trends on Artificial Intelligence in Head and Neck Cancer: A Bibliometric Analysis
Yuri Silvestre-Barbosa, Vitória Tavares de Castro, Larissa Di Carvalho Melo, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2025)
Closed Access
Unravelling Convergent Signaling Mechanisms Underlying the Aging-Disease Nexus Using Computational Language Analysis
Mireia Junyent, Haki Noori, Robin De Schepper, et al.
Current Issues in Molecular Biology (2025) Vol. 47, Iss. 3, pp. 189-189
Open Access
The doctor and patient of tomorrow: exploring the intersection of artificial intelligence, preventive medicine, and ethical challenges in future healthcare
Paulo Santos, Isabel Nazaré
Frontiers in Digital Health (2025) Vol. 7
Open Access
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care
Richard M. Brohet, Elianne C.S. de Boer, Joram M. Mossink, et al.
JCO Clinical Cancer Informatics (2025), Iss. 9
Closed Access
Genome-wide methylome modeling via generative AI incorporating long- and short-range interactions
Fengyao Yan, Aristeidis G. Telonis, Qin Yang, et al.
Science Advances (2025) Vol. 11, Iss. 15
Open Access
Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis
Gui-Xia Wei, Yuwen Zhou, Zhiping Li, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e29249-e29249
Open Access | Times Cited: 3
Multi-omics based artificial intelligence for cancer research
Lusheng Li, Mengtao Sun, Jieqiong Wang, et al.
Advances in cancer research (2024), pp. 303-356
Closed Access | Times Cited: 3
Effective analysis of thyroid toxicity and mechanisms of acetyltributyl citrate using network toxicology, molecular docking and machine learning strategies
Yujian Lan, Qinglin Peng, Bowen Fu, et al.
Toxicology (2024) Vol. 511, pp. 154029-154029
Closed Access | Times Cited: 2
End-to-end Technologies in Medicine, Pharmacy, Biology
Olga Denisova, Yaroslava Abramishvili
Deleted Journal (2024)
Open Access | Times Cited: 1
Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature
Liu Yang, Huan Xia, Yongmei Wang, et al.
International Immunopharmacology (2024) Vol. 137, pp. 112436-112436
Closed Access | Times Cited: 1
Using Artificial Intelligence for Personalized Cancer Treatment
Tuğra Alp Terzi
Next frontier. (2024) Vol. 8, Iss. 1, pp. 133-133
Closed Access | Times Cited: 1
Identifying Explainable Machine Learning Models and a Novel SFRP2+ Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer
Ziyi Yang, Dandan Zhou, Jun Huang
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16942-16942
Open Access | Times Cited: 3
Is Cancer Our Equal or Our Better? Artificial Intelligence in Cancer Drug Discovery
Swapnil Ganesh Sanmukh, Martyna Krzykawska-Serda, Paulina Dragan, et al.
Interdisciplinary cancer research (2024)
Closed Access
Data Governance and Distribution of Biobank: A Case from a Chinese Cancer Hospital
Jingjing Shi, Yan Guo, Na He, et al.
Biopreservation and Biobanking (2024)
Closed Access
Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment
Ihtisham Bukhari, Mengxue Li, Guangyuan Li, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access
A Brief Guide to Big Data in Molecular Design: From Concepts and Definitions to Models
Jarosław Polański
(2023)
Open Access | Times Cited: 1
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