Euijoon Ahn

1.7k total citations
31 papers, 957 citations indexed

About

Euijoon Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Euijoon Ahn has authored 31 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Euijoon Ahn's work include AI in cancer detection (11 papers), Cutaneous Melanoma Detection and Management (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Euijoon Ahn is often cited by papers focused on AI in cancer detection (11 papers), Cutaneous Melanoma Detection and Management (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Euijoon Ahn collaborates with scholars based in Australia, China and Germany. Euijoon Ahn's co-authors include Dagan Feng, Michael Fulham, Lei Bi, Ashnil Kumar, Jinman Kim, Jinman Kim, Changyang Li, Tao Huang, Lin Schwarzkopf and Ickjai Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Euijoon Ahn

26 papers receiving 937 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Euijoon Ahn 572 571 232 227 174 31 957
Irene Fondón 526 0.9× 408 0.7× 148 0.6× 224 1.0× 250 1.4× 32 936
Aledir Silveira Pereira 386 0.7× 314 0.5× 124 0.5× 194 0.9× 103 0.6× 24 662
Amirreza Mahbod 548 1.0× 549 1.0× 232 1.0× 199 0.9× 136 0.8× 19 870
Fengying Xie 509 0.9× 355 0.6× 157 0.7× 269 1.2× 53 0.3× 23 839
Manu Goyal 425 0.7× 541 0.9× 216 0.9× 205 0.9× 279 1.6× 18 1.1k
Catarina Barata 1.0k 1.8× 900 1.6× 281 1.2× 249 1.1× 112 0.6× 40 1.4k
Jorge Rozeira 916 1.6× 695 1.2× 251 1.1× 219 1.0× 83 0.5× 12 1.1k
Joanna Jaworek-Korjakowska 316 0.6× 334 0.6× 93 0.4× 190 0.8× 116 0.7× 45 812
Mohammad H. Jafari 337 0.6× 302 0.5× 115 0.5× 151 0.7× 191 1.1× 26 663
Rahil Garnavi 564 1.0× 486 0.9× 145 0.6× 454 2.0× 558 3.2× 52 1.4k

Countries citing papers authored by Euijoon Ahn

Since Specialization
Citations

This map shows the geographic impact of Euijoon Ahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Euijoon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Euijoon Ahn more than expected).

Fields of papers citing papers by Euijoon Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Euijoon Ahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Euijoon Ahn. The network helps show where Euijoon Ahn may publish in the future.

Co-authorship network of co-authors of Euijoon Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Euijoon Ahn. A scholar is included among the top collaborators of Euijoon Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Euijoon Ahn. Euijoon Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahn, Euijoon, et al.. (2025). GVT2RPM: An empirical study for general video transformer adaptation to remote physiological measurement. Biomedical Signal Processing and Control. 113. 108886–108886.
2.
Wang, Hao, Euijoon Ahn, Lei Bi, & Jinman Kim. (2025). Self-supervised multi-modality learning for multi-label skin lesion classification. Computer Methods and Programs in Biomedicine. 265. 108729–108729. 3 indexed citations
3.
4.
Yuan, Yuan, et al.. (2025). Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI. Computerized Medical Imaging and Graphics. 122. 102510–102510. 2 indexed citations
5.
Ahn, Euijoon, et al.. (2024). A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. Pattern Recognition. 155. 110621–110621. 10 indexed citations
6.
Zhou, Yusheng, Jianan Liu, Zhengmin Kong, et al.. (2024). Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging. IEEE Journal of Biomedical and Health Informatics. 29(6). 3853–3863.
7.
Ahn, Euijoon, et al.. (2024). Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring. Expert Systems with Applications. 252. 124220–124220. 20 indexed citations
8.
Zhou, Yusheng, et al.. (2024). WaveletDFDS-Net: A Dual Forward Denoising Stream Network for Low-Dose CT Noise Reduction. Electronics. 13(10). 1906–1906. 1 indexed citations
9.
Liu, Jianan, Tao Huang, Euijoon Ahn, et al.. (2024). Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation. IEEE Transactions on Artificial Intelligence. 5(9). 4660–4674. 1 indexed citations
10.
Masood, Anum, et al.. (2024). Deep Learning Based Multi-Scale Approach for Precision Medicine and Quantitative Imaging in Glioblastoma. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
11.
Ahn, Euijoon, et al.. (2023). A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. 20(4). 483–513. 23 indexed citations
12.
Jiang, Chun, Yuan Yang, Bingxin Gu, et al.. (2023). Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis. Clinical Radiology. 78(9). 687–696. 4 indexed citations
13.
Kong, Zhengmin, et al.. (2022). Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector. Computers in Biology and Medicine. 152. 106374–106374. 25 indexed citations
14.
Ahn, Euijoon, et al.. (2021). A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study. JMIR Public Health and Surveillance. 7(3). e14837–e14837. 13 indexed citations
15.
Oytam, Yalchin, et al.. (2021). The Checkpoint Program: Collaborative Care to Reduce the Reliance of Frequent Presenters on ED. International Journal of Integrated Care. 21(2). 29–29. 1 indexed citations
16.
Ahn, Euijoon, Ashnil Kumar, Michael Fulham, Dagan Feng, & Jinman Kim. (2020). Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Transactions on Medical Imaging. 39(7). 2385–2394. 38 indexed citations
17.
Ahn, Euijoon, Ashnil Kumar, Dagan Feng, Michael Fulham, & Jinman Kim. (2019). Unsupervised Deep Transfer Feature Learning for Medical Image Classification. 1915–1918. 27 indexed citations
18.
Ahn, Euijoon, Ashnil Kumar, Michael Fulham, Dagan Feng, & Jinman Kim. (2019). Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Analysis. 56. 140–151. 30 indexed citations
19.
20.
Ahn, Euijoon, Jinman Kim, Lei Bi, et al.. (2017). Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE Journal of Biomedical and Health Informatics. 21(6). 1685–1693. 110 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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