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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:

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

Showing 18 citing articles:

Survey on Explainable AI: From Approaches, Limitations and Applications Aspects
Wenli Yang, Yu-Chen Wei, H. Wei, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 161-188
Open Access | Times Cited: 64
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemysław Biecek
Information Fusion (2024) Vol. 107, pp. 102303-102303
Open Access | Times Cited: 37
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 29
Utilizing Vision Transformers for Predicting Early Response of Brain Metastasis to Magnetic Resonance Imaging-Guided Stage Gamma Knife Radiosurgery Treatment
Simona Ruxandra Volovăț, Diana-Ioana Boboc, Mădălina-Raluca Ostafe, et al.
Tomography (2025) Vol. 11, Iss. 2, pp. 15-15
Open Access | Times Cited: 1
The Explainability of Transformers: Current Status and Directions
Paolo Fantozzi, Maurizio Naldi
Computers (2024) Vol. 13, Iss. 4, pp. 92-92
Open Access | Times Cited: 6
Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging
Minjae Chung, Jong Bum Won, Ganghyun Kim, et al.
Lecture notes in computer science (2025), pp. 110-120
Closed Access
Advancing Diabetic Retinopathy Screening: A Systematic Review of Artificial Intelligence and Optical Coherence Tomography Angiography Innovations
Alireza Hayati, Mohammad Reza Abdol Homayuni, Reza Sadeghi, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 737-737
Open Access
Vision Transformers in Medical Imaging: a Comprehensive Review of Advancements and Applications Across Multiple Diseases
Sanad Aburass, Osama Dorgham, Jamil Al Shaqsi, et al.
Deleted Journal (2025)
Closed Access
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Gyeo‐Re Han, Artem Goncharov, Merve Eryılmaz, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Explainability of Vision Transformers: a Comprehensive Review and New Perspectives
Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou, et al.
(2024)
Closed Access | Times Cited: 3
Interpretable vision transformer based on prototype parts for COVID‐19 detection
Yang Xu, Zuqiang Meng
IET Image Processing (2024) Vol. 18, Iss. 7, pp. 1927-1937
Open Access | Times Cited: 2
Multi-modal transformer architecture for medical image analysis and automated report generation
Santhosh Raminedi, S. Shridevi, Daehan Won
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks
Szymon Opłatek, Dawid Rymarczyk, Bartosz Zieliński
Communications in computer and information science (2024), pp. 57-68
Closed Access | Times Cited: 1
A Transformer-Based Framework for Biomedical Information Retrieval Systems
Karl Hall, Chrisina Jayne, Victor Chang
Lecture notes in computer science (2023), pp. 317-331
Closed Access | Times Cited: 2
NC2C-TransCycleGAN: Non-Contrast to Contrast-Enhanced CT Image Synthesis Using Transformer CycleGAN
Xiaoxue Hou, Ruibo Liu, Youzhi Zhang, et al.
Healthcraft Frontiers (2024) Vol. 2, Iss. 1, pp. 34-45
Open Access
CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation
Weronika Hryniewska-Guzik, Luca Longo, Przemysław Biecek
Communications in computer and information science (2024), pp. 346-368
Closed Access
Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning
Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, et al.
Lecture notes in computer science (2024), pp. 93-103
Closed Access
Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques
Sari Masri, Ahmad Hasasneh, Mohammad Tami, et al.
Information (2024) Vol. 15, Iss. 12, pp. 751-751
Open Access
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