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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:

Decision Support Systems in Oncology
Seán Walsh, Evelyn E.C. de Jong, Janita E. van Timmeren, et al.
JCO Clinical Cancer Informatics (2019), Iss. 3, pp. 1-9
Open Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

Deep learning in cancer diagnosis, prognosis and treatment selection
Khoa Tran, Olga Kondrashova, Andrew P. Bradley, et al.
Genome Medicine (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 578
Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
Anna Markella Antoniadi, Yuhan Du, Yasmine Guendouz, et al.
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 5088-5088
Open Access | Times Cited: 381
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
Esther Abels, Liron Pantanowitz, Famke Aeffner, et al.
The Journal of Pathology (2019) Vol. 249, Iss. 3, pp. 286-294
Open Access | Times Cited: 352
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
Abdalla Ibrahim, Sergey Primakov, Manon Beuque, et al.
Methods (2020) Vol. 188, pp. 20-29
Open Access | Times Cited: 191
Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review
Oliver Higgins, Brooke Short, Stephan K. Chalup, et al.
International Journal of Mental Health Nursing (2023) Vol. 32, Iss. 4, pp. 966-978
Open Access | Times Cited: 63
A comprehensive review of data analytics in healthcare management: Leveraging big data for decision-making
Jeremiah Olawumi Arowoogun, Oloruntoba Babawarun, Rawlings Chidi, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1810-1821
Open Access | Times Cited: 25
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
<p>Benefits and Limitations of a Multidisciplinary Approach in Cancer Patient Management</p>
Rossana Berardi, Francesca Morgese, Silvia Rinaldi, et al.
Cancer Management and Research (2020) Vol. Volume 12, pp. 9363-9374
Open Access | Times Cited: 91
First experience with model-based selection of head and neck cancer patients for proton therapy
Makbule Tambaş, Roel J.H.M. Steenbakkers, Hans Paul van der Laan, et al.
Radiotherapy and Oncology (2020) Vol. 151, pp. 206-213
Open Access | Times Cited: 86
Clinical Decision Support Systems in Breast Cancer: A Systematic Review
Claudia Mazo, Cathriona Kearns, Catherine Mooney, et al.
Cancers (2020) Vol. 12, Iss. 2, pp. 369-369
Open Access | Times Cited: 78
MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability
Renée W. Y. Granzier, N. M. H. Verbakel, Abdalla Ibrahim, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Radiomics in neuro-oncological clinical trials
Philipp Lohmann, Enrico Franceschi, Philipp Kickingereder, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 11, pp. e841-e849
Open Access | Times Cited: 51
Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection
Alessandro Allegra, Alessandro Tonacci, Raffaele Sciaccotta, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 606-606
Open Access | Times Cited: 50
Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol
Bishnu Bahadur Bajgain, Diane Lorenzetti, Joon Lee, et al.
BMJ Open (2023) Vol. 13, Iss. 2, pp. e068373-e068373
Open Access | Times Cited: 37
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment
Kirthika Senthil Kumar, Vanja Mišković, Agata Blasiak, et al.
American Society of Clinical Oncology Educational Book (2023), Iss. 43
Open Access | Times Cited: 35
Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement
Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2308-2308
Open Access | Times Cited: 30
Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review
Cleiton Ferreira dos Santos, Mário Amorim‐Lopes
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)
Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan, et al.
IEEE Access (2020) Vol. 8, pp. 183939-183951
Open Access | Times Cited: 66
Transparency and Trust in Human-AI-Interaction: The Role of Model-Agnostic Explanations in Computer Vision-Based Decision Support
Christian Meske, Enrico Bunde
Lecture notes in computer science (2020), pp. 54-69
Open Access | Times Cited: 58
The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
Abdalla Ibrahim, Turkey Refaee, Sergey Primakov, et al.
Cancers (2021) Vol. 13, Iss. 8, pp. 1848-1848
Open Access | Times Cited: 46
Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field
Nikolaos Papachristou, Grigorios Kotronoulas, Νικόλαος Δικαίος, et al.
Seminars in Oncology Nursing (2023) Vol. 39, Iss. 3, pp. 151433-151433
Closed Access | Times Cited: 21
The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists
Valerio Nardone, Federica Marmorino, Marco Maria Germani, et al.
Current Oncology (2024) Vol. 31, Iss. 9, pp. 4984-5007
Open Access | Times Cited: 7
Radiomics Analysis for Clinical Decision Support in Nuclear Medicine
Abdalla Ibrahim, Martin Vallières, Henry C. Woodruff, et al.
Seminars in Nuclear Medicine (2019) Vol. 49, Iss. 5, pp. 438-449
Open Access | Times Cited: 47
The Emerging Role of Radiomics in COPD and Lung Cancer
Turkey Refaee, Guangyao Wu, Abdalla Ibrahim, et al.
Respiration (2020) Vol. 99, Iss. 2, pp. 99-107
Open Access | Times Cited: 42
Emotions as Social Information in Shared Decision-Making in Oncology
Theresa Treffers, Paul Martin Putora
Oncology (2020) Vol. 98, Iss. 6, pp. 430-437
Open Access | Times Cited: 41
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