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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:

Artificial intelligence and machine learning for medical imaging: A technology review
Ana María Barragán Montero, Umair Javaid, Gilmer Valdés, et al.
Physica Medica (2021) Vol. 83, pp. 242-256
Open Access | Times Cited: 270

Showing 1-25 of 270 citing articles:

Machine learning in medical applications: A review of state-of-the-art methods
Mohammad Shehab, Laith Abualigah, Qusai Y. Shambour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105458-105458
Closed Access | Times Cited: 329
Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging
Reabal Najjar
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2760-2760
Open Access | Times Cited: 302
Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare
Madhan Jeyaraman, Sangeetha Balaji, Naveen Jeyaraman, et al.
Cureus (2023)
Open Access | Times Cited: 124
Medical image analysis using deep learning algorithms
Mengfang Li, Yuanyuan Jiang, Yanzhou Zhang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 123
Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine
Sudipta Roy, Tanushree Meena, Se‐Jung Lim
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2549-2549
Open Access | Times Cited: 108
Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data
Loveleen Gaur, Mohan Bhandari, Tanvi Razdan, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 93
Federated learning for medical image analysis: A survey
Hao Guan, Pew‐Thian Yap, Andrea Bozoki, et al.
Pattern Recognition (2024) Vol. 151, pp. 110424-110424
Open Access | Times Cited: 78
Machine learning in microseismic monitoring
Denis Anikiev, Claire Birnie, Umair bin Waheed, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104371-104371
Open Access | Times Cited: 65
MobileNetV1-Based Deep Learning Model for Accurate Brain Tumor Classification
Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, et al.
Mesopotamian Journal of Computer Science (2023), pp. 32-41
Open Access | Times Cited: 60
Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review
Celina Silvia Stafie, Irina-Georgeta Șufaru, Cristina Mihaela Ghiciuc, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1995-1995
Open Access | Times Cited: 53
Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging
Reabal Najjar
(2023)
Open Access | Times Cited: 50
Wearable Devices: Implications for Precision Medicine and the Future of Health Care
Mohan Babu, Ziv Lautman, Xiangping Lin, et al.
Annual Review of Medicine (2023) Vol. 75, Iss. 1, pp. 401-415
Open Access | Times Cited: 45
Microglial morphometric analysis: so many options, so little consistency
Jack Reddaway, Peter Richardson, Ryan J. Bevan, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 44
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 397-417
Open Access | Times Cited: 42
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 21
Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine
Matthew G. Hanna, Liron Pantanowitz, Rajesh Dash, et al.
Modern Pathology (2025) Vol. 38, Iss. 4, pp. 100705-100705
Open Access | Times Cited: 7
Comparison of different deep learning architectures for synthetic CT generation from MR images
Abbas Bahrami, Alireza Karimian, Hossein Arabi
Physica Medica (2021) Vol. 90, pp. 99-107
Open Access | Times Cited: 68
How artificial intelligence improves radiological interpretation in suspected pulmonary embolism
A. Ben Cheikh, G. Gorincour, Hubert Nivet, et al.
European Radiology (2022) Vol. 32, Iss. 9, pp. 5831-5842
Open Access | Times Cited: 61
Current challenges of implementing artificial intelligence in medical imaging
Shier Nee Saw, Kwan Hoong Ng
Physica Medica (2022) Vol. 100, pp. 12-17
Open Access | Times Cited: 59
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Ana María Barragán Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 51
Bioinformatics in bioscience and bioengineering: Recent advances, applications, and perspectives
Kazuma Uesaka, Hiroya Oka, Ryuji Kato, et al.
Journal of Bioscience and Bioengineering (2022) Vol. 134, Iss. 5, pp. 363-373
Open Access | Times Cited: 45
Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 383-383
Open Access | Times Cited: 32
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
Dinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16290-e16290
Open Access | Times Cited: 31
Achieving health equity through conversational AI: A roadmap for design and implementation of inclusive chatbots in healthcare
Tom Nadarzynski, Nicky Knights, Deborah Husbands, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000492-e0000492
Open Access | Times Cited: 15
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