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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:

Benchmarking saliency methods for chest X-ray interpretation
Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 10, pp. 867-878
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
A. S. Albahri, Ali M. Duhaim, Mohammed A. Fadhel, et al.
Information Fusion (2023) Vol. 96, pp. 156-191
Closed Access | Times Cited: 349
The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren
New England Journal of Medicine (2023) Vol. 388, Iss. 21, pp. 1981-1990
Closed Access | Times Cited: 216
Algorithmic fairness in artificial intelligence for medicine and healthcare
Richard J. Chen, Judy J. Wang, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 719-742
Open Access | Times Cited: 191
Heterogeneity and predictors of the effects of AI assistance on radiologists
Feiyang Yu, Alex Moehring, Oishi Banerjee, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 837-849
Open Access | Times Cited: 42
Explainable AI in Healthcare Application
Siva Raja Sindiramutty, Wee Jing Tee, Sumathi Balakrishnan, et al.
Advances in computational intelligence and robotics book series (2024), pp. 123-176
Closed Access | Times Cited: 18
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Laith Alzubaidi, Asma Salhi, Mohammed A. Fadhel, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299545-e0299545
Open Access | Times Cited: 17
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
Evangelos K. Oikonomou, Akhil Vaid, Gregory Holste, et al.
The Lancet Digital Health (2025) Vol. 7, Iss. 2, pp. e113-e123
Closed Access | Times Cited: 3
Deep learning generates synthetic cancer histology for explainability and education
James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 39
Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases
Anita K. Bakrania, Narottam Joshi, Xun Zhao, et al.
Pharmacological Research (2023) Vol. 189, pp. 106706-106706
Open Access | Times Cited: 38
Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Mohammed Yusuf Ansari, Marwa Qaraqe, Fatmeh Charafeddine, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102690-102690
Open Access | Times Cited: 31
Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, et al.
Computers (2023) Vol. 12, Iss. 9, pp. 175-175
Open Access | Times Cited: 28
An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review
Assunta Di Costanzo, Carmen Spaccarotella, Giovanni Esposito, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 4, pp. 1033-1033
Open Access | Times Cited: 15
AI for Detection of Tuberculosis: Implications for Global Health
Eui Jin Hwang, Won Gi Jeong, Pierre‐Marie David, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 10
A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform
Pascal Thériault-Lauzier, Denis Cobin, Olivier Tastet, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1828-1840
Open Access | Times Cited: 10
Attention enhanced machine instinctive vision with human-inspired saliency detection
Habib Khan, Muhammad Usman, Imad Rida, et al.
Image and Vision Computing (2024) Vol. 152, pp. 105308-105308
Closed Access | Times Cited: 10
The Application of Large Language Models for Radiologic Decision Making
Hossam A. Zaki, Andrew Aoun, Saminah Munshi, et al.
Journal of the American College of Radiology (2024) Vol. 21, Iss. 7, pp. 1072-1078
Closed Access | Times Cited: 9
Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation
Qiang Zhang, Anastasia Fotaki, Sona Ghadimi, et al.
Journal of Cardiovascular Magnetic Resonance (2024) Vol. 26, Iss. 2, pp. 101051-101051
Open Access | Times Cited: 9
Explainable AI identifies diagnostic cells of genetic AML subtypes
Matthias Hehr, Ario Sadafi, Christian Matek, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 3, pp. e0000187-e0000187
Open Access | Times Cited: 18
Towards Evaluating Explanations of Vision Transformers for Medical Imaging
Piotr Komorowski, Hubert Baniecki, Przemysław Biecek
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 3726-3732
Open Access | Times Cited: 18
Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs
John R. Zech, Diego Jaramillo, Jaan Altosaar, et al.
Pediatric Radiology (2023) Vol. 53, Iss. 12, pp. 2386-2397
Closed Access | Times Cited: 17
1D Gradient-Weighted Class Activation Mapping, Visualizing Decision Process of Convolutional Neural Network-Based Models in Spectroscopy Analysis
Guo-yang Shi, Hao-Ping Wu, Siheng Luo, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 26, pp. 9959-9966
Closed Access | Times Cited: 16
Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108525-108525
Open Access | Times Cited: 7
Realistic Chest X‐Ray Image Synthesis via Generative Network with Stochastic Memristor Array for Machine Learning‐Based Medical Diagnosis
Nam Ju Kim, Jungyeop Oh, Sungkyu Kim, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 16
Closed Access | Times Cited: 6
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 241-252
Open Access | Times Cited: 15
Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping
Tahir Hussain, Hayaru Shouno
Information (2023) Vol. 14, Iss. 12, pp. 642-642
Open Access | Times Cited: 15
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