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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:

Implementing machine learning in medicine
Amol A. Verma, Joshua Murray, Russell Greiner, et al.
Canadian Medical Association Journal (2021) Vol. 193, Iss. 34, pp. E1351-E1357
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation
Jayson S. Marwaha, Adam Landman, Gabriel A. Brat, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 143
Artificial intelligence technologies and compassion in healthcare: A systematic scoping review
Elizabeth Morrow, Teodor Zidaru, Fiona Ross, et al.
Frontiers in Psychology (2023) Vol. 13
Open Access | Times Cited: 116
Machine learning in vascular surgery: a systematic review and critical appraisal
Ben Li, Tiam Feridooni, César Cuen-Ojeda, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 84
A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM
Mohammed Gollapalli, Aisha Alansari, Heba Alkhorasani, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105757-105757
Open Access | Times Cited: 69
The future of artificial intelligence in medicine: Medical-legal considerations for health leaders
Sunam Jassar, Scott Adams, Amy Zarzeczny, et al.
Healthcare Management Forum (2022) Vol. 35, Iss. 3, pp. 185-189
Open Access | Times Cited: 39
Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework
Anton van der Vegt, Ian Scott, Krishna Dermawan, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 9, pp. 1503-1515
Open Access | Times Cited: 24
A Survey of Machine Learning Approaches for Mobile Robot Control
Monika Rybczak, Natalia Popowniak, Agnieszka Lazarowska
Robotics (2024) Vol. 13, Iss. 1, pp. 12-12
Open Access | Times Cited: 13
Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers
Amir Kamel Rahimi, Oliver Pienaar, Moji Ghadimi, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e49655-e49655
Open Access | Times Cited: 12
Problems in the deployment of machine-learned models in health care
Joseph Cohen, Tianshi Cao, Joseph D. Viviano, et al.
Canadian Medical Association Journal (2021) Vol. 193, Iss. 35, pp. E1391-E1394
Open Access | Times Cited: 47
Evaluation of machine learning solutions in medicine
Tony Antoniou, Muhammad Mamdani
Canadian Medical Association Journal (2021) Vol. 193, Iss. 36, pp. E1425-E1429
Open Access | Times Cited: 41
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
John Adeoye, Liuling Hui, Yu‐Xiong Su
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 19
A risk prediction model based on machine learning for early cognitive impairment in hypertension: Development and validation study
Xia Zhong, Jie Yu, Feng Jiang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 18
Machine Learning Operations in Health Care: A Scoping Review
Anjali Rajagopal, Shant Ayanian, Alexander J. Ryu, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 2, Iss. 3, pp. 421-437
Closed Access | Times Cited: 6
Clinical evaluation of a machine learning–based early warning system for patient deterioration
Amol A. Verma, Thérèse A. Stukel, Michael Colacci, et al.
Canadian Medical Association Journal (2024) Vol. 196, Iss. 30, pp. E1027-E1037
Open Access | Times Cited: 6
Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors’ Functional Outcome upon Discharge Utilizing Explainable Machine Learning
Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 532-532
Open Access | Times Cited: 13
Survey and Evaluation of Hypertension Machine Learning Research
Clea du Toit, Tran Tran, Neha Deo, et al.
Journal of the American Heart Association (2023) Vol. 12, Iss. 9
Open Access | Times Cited: 13
Methodologic Issues Specific to Prediction Model Development and Evaluation
Yuxuan Jin, Michael W. Kattan
CHEST Journal (2023) Vol. 164, Iss. 5, pp. 1281-1289
Closed Access | Times Cited: 13
Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models
Savannah Bifulco, Fima Macheret, Griffin D Scott, et al.
Journal of the American Heart Association (2023) Vol. 12, Iss. 16
Open Access | Times Cited: 13
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain
Anton van der Vegt, Victoria Campbell, Imogen Mitchell, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 509-524
Open Access | Times Cited: 13
From Data to Decisions: How AI Is Revolutionizing Clinical Prediction Models in Plastic Surgery
K.A. Kooi, Estefanía Talavera, Liliane A. Freundt, et al.
Plastic & Reconstructive Surgery (2024) Vol. 154, Iss. 6, pp. 1341-1352
Closed Access | Times Cited: 5
Managing Risk and Quality of AI in Healthcare: Are Hospitals Ready for Implementation?
Arian Ranjbar, Eilin Wermundsen Mork, Jesper Ravn, et al.
Risk Management and Healthcare Policy (2024) Vol. Volume 17, pp. 877-882
Open Access | Times Cited: 5
Adoption and utilization of medical decision support systems in the diagnosis of febrile Diseases: A systematic literature review
Nayab Khan, Chinyere Nwafor Okoli, Victory Ekpin, et al.
Expert Systems with Applications (2023) Vol. 220, pp. 119638-119638
Closed Access | Times Cited: 12
Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study
Dylan Young, Bita Houshmand, Chunyi Tan, et al.
BMC Pregnancy and Childbirth (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia
Yujing Cheng, Xin Yang, Ying Wang, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Risk Factors for Perinatal Arterial Ischemic Stroke
Ratika Srivastava, Lauran Cole, Kimberly Amador, et al.
Neurology (2024) Vol. 102, Iss. 11
Open Access | Times Cited: 4
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