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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 state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
Stan Benjamens, Pranavsingh Dhunnoo, Bertalan Meskó
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 823

Showing 26-50 of 823 citing articles:

Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
David Nam, Julius Chapiro, Valérie Paradis, et al.
JHEP Reports (2022) Vol. 4, Iss. 4, pp. 100443-100443
Open Access | Times Cited: 138
Bias in AI-based models for medical applications: challenges and mitigation strategies
Mirja Mittermaier, Marium Raza, Joseph C. Kvedar
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 137
Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance
Thomas Dratsch, Xue Chen, Mohammad Hosein Rezazade Mehrizi, et al.
Radiology (2023) Vol. 307, Iss. 4
Closed Access | Times Cited: 130
Advancing pharmacy and healthcare with virtual digital technologies
Sarah J. Trenfield, Atheer Awad, Laura E. McCoubrey, et al.
Advanced Drug Delivery Reviews (2022) Vol. 182, pp. 114098-114098
Open Access | Times Cited: 126
The Fallacy of AI Functionality
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 959-972
Open Access | Times Cited: 113
Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis
Sergei Bedrikovetski, Nagendra N. Dudi‐Venkata, Hidde M. Kroon, et al.
BMC Cancer (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 103
Artificial Intelligence in Dermatology: Challenges and Perspectives
Konstantinos Liopyris, Stamatios Gregoriou, Julia Dias, et al.
Dermatology and Therapy (2022) Vol. 12, Iss. 12, pp. 2637-2651
Open Access | Times Cited: 91
Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
Davy van de Sande, Michel E. van Genderen, Jim M. Smit, et al.
BMJ Health & Care Informatics (2022) Vol. 29, Iss. 1, pp. e100495-e100495
Open Access | Times Cited: 90
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges
Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, et al.
Journal of Digital Imaging (2022) Vol. 36, Iss. 1, pp. 204-230
Open Access | Times Cited: 90
The Impact of Multimodal Large Language Models on Health Care’s Future
Bertalan Meskó
Journal of Medical Internet Research (2023) Vol. 25, pp. e52865-e52865
Open Access | Times Cited: 89
Digital therapeutics from bench to bedside
Changwon Wang, Chungkeun Lee, Hang‐Sik Shin
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 88
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Peng Xue, Jiaxu Wang, Dongxu Qin, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 87
Deep Learning and Medical Image Analysis for COVID-19 Diagnosis and Prediction
Tianming Liu, Eliot L. Siegel, Dinggang Shen
Annual Review of Biomedical Engineering (2022) Vol. 24, Iss. 1, pp. 179-201
Open Access | Times Cited: 82
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use
Simeng Zhu, Marissa Gilbert, Indrin J. Chetty, et al.
International Journal of Medical Informatics (2022) Vol. 165, pp. 104828-104828
Closed Access | Times Cited: 80
The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals
Bertalan Meskó
Journal of Medical Internet Research (2023) Vol. 25, pp. e48392-e48392
Open Access | Times Cited: 79
Artificial intelligence in cardiology: Hope for the future and power for the present
Loucia Karatzia, Nay Aung, Dunja Aksentijević
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 78
Artificial Intelligence in Biological Sciences
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 77
Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis
Seong Ho Park, Kyunghwa Han, Hye Young Jang, et al.
Radiology (2022) Vol. 306, Iss. 1, pp. 20-31
Closed Access | Times Cited: 71
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators
Taridzo Chomutare, Miguel Tejedor, Therese Olsen Svenning, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 16359-16359
Open Access | Times Cited: 69
Artificial intelligence in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 68
The coming of age of interpretable and explainable machine learning models
Paulo Lisböa, Sascha Saralajew, Alfredo Vellido, et al.
Neurocomputing (2023) Vol. 535, pp. 25-39
Open Access | Times Cited: 67
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare
Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102616-102616
Open Access | Times Cited: 60
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 60
The state of quantum computing applications in health and medicine
Frederik F. Flöther
Research Directions Quantum Technologies (2023), pp. 1-21
Open Access | Times Cited: 58
Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review
Ryan Han, Julián Acosta, Zahra Shakeri, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 5, pp. e367-e373
Open Access | Times Cited: 56

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