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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:

Applications of artificial intelligence multiomics in precision oncology
Ruby Srivastava
Journal of Cancer Research and Clinical Oncology (2022) Vol. 149, Iss. 1, pp. 503-510
Closed Access | Times Cited: 22

Showing 22 citing articles:

Evaluating ChatGPT as an adjunct for the multidisciplinary tumor board decision-making in primary breast cancer cases
Stefan Lukac, Davut Dayan, Visnja Fink, et al.
Archives of Gynecology and Obstetrics (2023) Vol. 308, Iss. 6, pp. 1831-1844
Open Access | Times Cited: 66
Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 48
Emerging Research Trends in Artificial Intelligence for Cancer Diagnostic Systems: A Comprehensive Review
Sagheer Abbas, Muhammad Waqas Asif, Abdur Rehman, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36743-e36743
Open Access | Times Cited: 6
Machine learning integrated graphene oxide‐based diagnostics, drug delivery, analytical approaches to empower cancer diagnosis
Suparna Das, Hirak Mazumdar, Kamil Reza Khondakar, et al.
BMEMat (2024)
Open Access | Times Cited: 5
Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
Multi-omics data for machine learning algorithms
Ab Naffi Ahanger, Syed Naseer Ahmad Shah, Abdul Basit Ahanger, et al.
Elsevier eBooks (2025), pp. 197-221
Closed Access
Risk Prediction Models as an Emerging Trend for Managing Cancer‐Related Fatigue: A Systematic Review
Yun Zhang, Linna Li, Xia Li, et al.
Journal of Advanced Nursing (2024)
Closed Access | Times Cited: 3
Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer
Anand Mohan Jha, Abikesh Prasada Kumar Mahapatra, John Abraham, et al.
International Journal of Trends in OncoScience (2024), pp. 27-36
Open Access | Times Cited: 2
Deep Learning of radiology-genomics integration for computational oncology: A mini review
Feng-ao Wang, Y Li, Tao Zeng
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2708-2716
Open Access | Times Cited: 2
HARNESSING THE POWER OF AI AND MACHINE LEARNING FOR NEXT-GENERATION SEQUENCING DATA ANALYSIS: A COMPREHENSIVE REVIEW OF APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS IN PRECISION ONCOLOGY
Pedro Henrique Zeraik Viduedo, Victor César Urquiza Candeia, Victor Balceiro Legname Martins, et al.
Revista Ibero-Americana de Humanidades, Ciências e Educação (2024) Vol. 10, Iss. 8, pp. 2898-2904
Open Access | Times Cited: 2
Applications of Deep Learning for Drug Discovery Systems with BigData
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 603-624
Open Access | Times Cited: 11
An Introduction to Recent Approaches Underlying Mechanistic Insights Harboring Oncobiology
R. C. Sobti, Aastha Sobti
(2024), pp. 3-47
Closed Access | Times Cited: 1
Robust Performance of the Novel Research-Use-Only Idylla GeneFusion Assay Using a Diverse Set of Pathological Samples with a Proposed 1-Day Workflow for Advanced NSCLC Evaluation
Alvaro Leone, Lucia Anna Muscarella, Paolo Graziano, et al.
Cancers (2022) Vol. 15, Iss. 1, pp. 292-292
Open Access | Times Cited: 7
Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more
Kord M. Kober, Ritu Roy, Yvette P. Conley, et al.
Supportive Care in Cancer (2023) Vol. 31, Iss. 5
Closed Access | Times Cited: 3
Omics in Precision Medicine
Özgecan Kayalar, Hadi Rajabi, Deniz Mortazavi, et al.
(2023), pp. 237-263
Closed Access | Times Cited: 2
Predictive models based on machine learning for early recurrence and metastasis in postoperative patients with colorectal cancer
Qian Dong, Minghui Mo, Xia Huang, et al.
Interdisciplinary Nursing Research (2024)
Open Access
Advanced Diagnostics With Artificial Intelligence and Machine Learning in the Healthcare Sector
Nilanjana Sarkar, Sumit Goel, Alex Khang
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 47-81
Closed Access
Exploring the Unknown: The Application and Prospects of Artificial Intelligence in Genomics and Bioinformatics
Qigang Feng, Jie Li, Qing Zhang
Health (2024) Vol. 16, Iss. 09, pp. 837-848
Open Access
Integración de la Inteligencia Artificial (IA) en el sector de la Salud: Innovación, Retos y Futuro
Noe Emmanuel Del Real-García, Janneth Guadalupe Lugo-de los Santos, Jesús Cruz Álvarez
Vinculatégica EFAN (2024) Vol. 10, Iss. 5, pp. 1-13
Closed Access
Machine Learning Approaches for Microorganism Identification, Virulence Assessment, and Antimicrobial Susceptibility Evaluation Using DNA Sequencing Methods: A Systematic Review
Onolunosen Abel Abhadionmhen, Caroline Asogwa, Modesta Ezema, et al.
Molecular Biotechnology (2024)
Closed Access
Teaming with artificial intelligence to support global cancer surgical care
Taylor Jaraczewski, Gopika SenthilKumar, Adhitya Ramamurthi, et al.
Journal of Surgical Oncology (2023) Vol. 128, Iss. 6, pp. 943-946
Closed Access
An Introduction to Recent Approaches Underlying Mechanistic Insights Harboring Oncobiology
R. C. Sobti, Aastha Sobti
(2023), pp. 1-44
Closed Access
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