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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:

xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography
Arnab Kumar Mondal, Arnab Bhattacharjee, Parag Singla, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 10, pp. 1-10
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 559
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 408
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li, Junyu Chen, Yucheng Tang, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102762-102762
Open Access | Times Cited: 178
Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 137
Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling
Sudhakar Tummala, Seifedine Kadry, Syed Ahmad Chan Bukhari, et al.
Current Oncology (2022) Vol. 29, Iss. 10, pp. 7498-7511
Open Access | Times Cited: 113
Advances in medical image analysis with vision Transformers: A comprehensive review
Reza Azad, Amirhossein Kazerouni, Moein Heidari, et al.
Medical Image Analysis (2023) Vol. 91, pp. 103000-103000
Open Access | Times Cited: 105
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5261-5315
Open Access | Times Cited: 85
Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Stephanie Baker, Wei Xiang
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1261-1293
Open Access | Times Cited: 68
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 43
Efficient pneumonia detection using Vision Transformers on chest X-rays
Sukhendra Singh, Manoj Kumar, Abhay Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays
Mohamed Chetoui, Moulay A. Akhloufi
Journal of Clinical Medicine (2022) Vol. 11, Iss. 11, pp. 3013-3013
Open Access | Times Cited: 38
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images
Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4358-4358
Open Access | Times Cited: 37
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning
Chong Ma, Lin Zhao, Yuzhong Chen, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3384-3394
Open Access | Times Cited: 21
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
Satoshi Takahashi, Yusuke Sakaguchi, Nobuji Kouno, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 9
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
Tin Lai
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 113-126
Open Access | Times Cited: 8
Is Attention all You Need in Medical Image Analysis? A Review
Giorgos Papanastasiou, Νικόλαος Δικαίος, Jiahao Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1398-1411
Open Access | Times Cited: 16
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images
Shengchao Chen, Sufen Ren, Guanjun Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 753-764
Open Access | Times Cited: 15
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: 15
Transformers in health: a systematic review on architectures for longitudinal data analysis
Clauirton Siebra, Mascha Kurpicz-Briki, Katarzyna Wac
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 6
Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis
Dost Muhammad, Malika Bendechache
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 542-560
Open Access | Times Cited: 5
User Experience and Trust Improvement Evaluation on Healthcare oriented Explainable Artificial Intelligence Interventions: Systematic Review (Preprint)
Samantha Cramer, Elina Gastreich-de-Llanes, Jonas Bäcker, et al.
(2025)
Closed Access
Comparative Evaluation of Deep Learning Models for Diagnosis of COVID-19 Using X-ray Images and Computed Tomography
Aroldo Ferraz, Roberto Cesar Betini
Journal of the Brazilian Computer Society (2025) Vol. 31, Iss. 1, pp. 99-131
Open Access
A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?
Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, et al.
IEEE Access (2022) Vol. 10, pp. 98909-98935
Open Access | Times Cited: 24
MLP-based classification of COVID-19 and skin diseases
Ruize Zhang, Liejun Wang, Shuli Cheng, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120389-120389
Open Access | Times Cited: 15
Recent advances of Transformers in medical image analysis: A comprehensive review
Kun Xia, Jinzhuo Wang
MedComm – Future Medicine (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 14
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