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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:

The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations
Ugo Pagallo, Shane O’Sullivan, Nathalie Nevejans, et al.
Health and Technology (2023) Vol. 14, Iss. 1, pp. 1-14
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Large Language Models lack essential metacognition for reliable medical reasoning
Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 3
AI Anxiety: Explication and Exploration of Effect on State Anxiety When Interacting with AI Doctors
Hyun Yang, S. Shyam Sundar
Computers in Human Behavior Artificial Humans (2025), pp. 100128-100128
Open Access | Times Cited: 1
Comparative Performance of Claude-3 Opus and ChatGPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis (Preprint)
Xu Liu, Chaoli Duan, Min-kyu Kim, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e59273-e59273
Open Access | Times Cited: 6
Integrating AI Technologies into Remote Monitoring Patient Systems
Filip Tsvetanov
(2024), pp. 54-54
Open Access | Times Cited: 6
Improved deep canonical correlation fusion approach for detection of early mild cognitive impairment
Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan
Medical & Biological Engineering & Computing (2025)
Closed Access
Easing the cognitive load of general practitioners: AI design principles for future-ready healthcare
Shoon Chan Hor, Lee Lai Fong, Katie Wynne, et al.
Technovation (2025) Vol. 142, pp. 103208-103208
Open Access
Microscope Upcycling: Transforming legacy microscopes into automated cloud-integrated imaging systems
Drew Ehrlich, Yohei M. Rosen, David F. Parks, et al.
HardwareX (2025), pp. e00637-e00637
Open Access
Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus
Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, et al.
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access
AI and medical imaging technology: evolution, impacts, and economic insights
Emefa Surprize Deborah Buaka, Md Zubab Ibne Moid
The Journal of Technology Transfer (2024)
Open Access | Times Cited: 4
When and what patients need to know about AI in clinical care
David Shaw, Giorgia Lorenzini, Laura Arbelaez Ossa, et al.
Schweizerische medizinische Wochenschrift (2025) Vol. 155, Iss. 1, pp. 4013-4013
Open Access
Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes
Deniz Akdemir, Jeffery J. Auletta, Caitrin Bupp, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110113-110113
Closed Access
Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loop
Christian Hausleitner, Heimo Mueller, Andreas Holzinger, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Concerns on Integrating Artificial Intelligence in Clinical Practice: A Survey of Chinese Oncologists' Perspectives (Preprint)
Ming Li, Xiaomin Xiong, Bo Xu, et al.
JMIR Formative Research (2024) Vol. 8, pp. e53918-e53918
Open Access | Times Cited: 2
Advancements in Artificial Intelligence for Precision Diagnosis and Treatment of Myocardial Infarction: A Comprehensive Review of Clinical Trials and Randomized Controlled Trials
Syed J Patel, Salma Yousuf, Jaswanth V Padala, et al.
Cureus (2024)
Open Access | Times Cited: 2
The application of explainable artificial intelligence (XAI) in electronic health record research: A scoping review
Jessica Caterson, Alex Lewin, Elizabeth Williamson
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Exploring Determinants Influencing Artificial Intelligence Adoption, Reference to Diffusion of Innovation Theory
Priyadarsini Patnaik, Mahmoud Bakkar
Technology in Society (2024) Vol. 79, pp. 102750-102750
Closed Access | Times Cited: 2
Digital transitions in healthcare: the need for transdisciplinary research to overcome barriers of privacy enhancing technologies uptake
Sarah van Drumpt, Tjerk Timan, Soukaina Talie, et al.
Health and Technology (2024) Vol. 14, Iss. 4, pp. 709-723
Open Access | Times Cited: 1
Truly Risk-Based Regulation of Artificial Intelligence - How to Implement the EU's AI Act
Martin Ebers
(2024)
Closed Access | Times Cited: 1
MOSDNET: A multi-omics classification framework using simplified multi-view deep discriminant representation learning and dynamic edge GCN with multi-task learning
Min Li, Zihao Chen, Shaobo Deng, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 109040-109040
Closed Access | Times Cited: 1
On-site burn severity assessment using smartphone-captured color burn wound images
Xiayu Xu, Qilong Bu, Jingmeng Xie, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109171-109171
Closed Access | Times Cited: 1
Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder
Kyle Hasenstab, Lewis D. Hahn, Nicholas S.Y. Chao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Universal representations in cardiovascular ECG assessment: A self-supervised learning approach
Zhi‐Yong Liu, Ching‐Heng Lin, Yu-Chun Hsu, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105742-105742
Closed Access | Times Cited: 1
Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery
Liang Shen, Yunpeng Jin, AXiang Pan, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 260, pp. 108561-108561
Closed Access | Times Cited: 1
Risks of Artificial Intelligence (AI) in Medicine
Nikolaos M. Siafakas, Eirini Vasarmidi
Pneumon (2024) Vol. 37, Iss. 3, pp. 1-5
Open Access
Concept-based AI Interpretability in Physiological Time-Series Data: Example of Abnormality Detection in Electroencephalography
Alexander Brenner, Felix Knispel, Florian P. Fischer, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108448-108448
Open Access
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