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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:

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 542

Showing 26-50 of 542 citing articles:

Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
Clare McGenity, Emily L. Clarke, Charlotte Jennings, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 16
Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
Zhen Ling Teo, Liyuan Jin, Nan Liu, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 2, pp. 101419-101419
Open Access | Times Cited: 14
Strategies for generating synthetic computed tomography-like imaging from radiographs: A scoping review
Daniel de Wilde, Olivier Zanier, Raffaele Da Mutten, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103454-103454
Open Access | Times Cited: 1
Researching public health datasets in the era of deep learning: a systematic literature review
Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access | Times Cited: 1
Breast cancer classification based on hybrid CNN with LSTM model
Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study
Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e65146-e65146
Open Access | Times Cited: 1
Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader Study
Eun Kyoung Hong, Byung Suk Roh, B. Park, et al.
Radiology (2025) Vol. 314, Iss. 3
Closed Access | Times Cited: 1
Improving breast cancer diagnostics with deep learning for MRI
Jan Witowski, Laura Heacock, Beatriu Reig, et al.
Science Translational Medicine (2022) Vol. 14, Iss. 664
Open Access | Times Cited: 66
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 58
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 54
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan, et al.
Medical Physics (2022) Vol. 50, Iss. 2
Open Access | Times Cited: 54
A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
Kuen-Jang Tsai, Mei‐Chun Chou, Hao-Ming Li, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1160-1160
Open Access | Times Cited: 42
Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence
Joanna M. Wardlaw, Grant Mair, Rüdiger von Kummer, et al.
Stroke (2022) Vol. 53, Iss. 7, pp. 2393-2403
Open Access | Times Cited: 38
Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study
Susan C. Shelmerdine, H Martı́n, Kapil Shirodkar, et al.
BMJ (2022), pp. e072826-e072826
Open Access | Times Cited: 38
Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports
A Hasani, Shiva M. Singh, Aryan Zahergivar, et al.
European Radiology (2023) Vol. 34, Iss. 6, pp. 3566-3574
Closed Access | Times Cited: 34
Clinical Applications of Artificial Intelligence in Glaucoma
Siamak Yousefi
Journal of Ophthalmic and Vision Research (2023)
Open Access | Times Cited: 31
Accuracy of Artificial Intelligence-Based Photographic Detection of Gingivitis
Reinhard Chun Wang Chau, Guan-Hua Li, In Meei Tew, et al.
International Dental Journal (2023) Vol. 73, Iss. 5, pp. 724-730
Open Access | Times Cited: 30
Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
David Hua, Neysa Petrina, Noel Young, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102698-102698
Open Access | Times Cited: 29
Systematic review of deep learning image analyses for the diagnosis and monitoring of skin disease
Shern Ping Choy, Byung Jin Kim, Alexandra Paolino, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 28
Vision Transformer Approach for Classification of Alzheimer’s Disease Using 18F-Florbetaben Brain Images
Hyun-Ji Shin, Soomin Jeon, Youngsoo Seol, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3453-3453
Open Access | Times Cited: 27
medigan: a Python library of pretrained generative models for medical image synthesis
Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 25
Artificial Intelligence in Surgical Learning
Niklas Pakkasjärvi, Tanvi Luthra, Sachit Anand
Surgeries (2023) Vol. 4, Iss. 1, pp. 86-97
Open Access | Times Cited: 25
Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives
Alan G. Fraser, Elisabetta Biasin, Bart Bijnens, et al.
Expert Review of Medical Devices (2023) Vol. 20, Iss. 6, pp. 467-491
Closed Access | Times Cited: 25
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24

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