Jinman Kim

767 total citations
12 papers, 483 citations indexed

About

Jinman Kim is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jinman Kim has authored 12 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Jinman Kim's work include Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). Jinman Kim is often cited by papers focused on Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). Jinman Kim collaborates with scholars based in Australia, China and Hong Kong. Jinman Kim's co-authors include Dagan Feng, Lei Bi, Euijoon Ahn, Michael Fulham, Ashnil Kumar, Changyang Li, Weidong Cai, Yang Song, Mingyuan Meng and Bingxin Gu and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Frontiers in Oncology.

In The Last Decade

Jinman Kim

10 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinman Kim Australia 7 312 270 124 117 109 12 483
Ebrahim Nasr-Esfahani Iran 7 292 0.9× 263 1.0× 154 1.2× 92 0.8× 141 1.3× 10 527
P. C. Siddalingaswamy India 12 244 0.8× 223 0.8× 165 1.3× 72 0.6× 216 2.0× 34 538
Nazia Hameed United Kingdom 9 274 0.9× 276 1.0× 79 0.6× 96 0.8× 124 1.1× 28 590
Sae Hwang United States 12 385 1.2× 187 0.7× 349 2.8× 55 0.5× 65 0.6× 18 673
Reda Kasmi Algeria 9 429 1.4× 333 1.2× 77 0.6× 125 1.1× 50 0.5× 11 514
Aïcha BenTaieb Canada 8 198 0.6× 331 1.2× 168 1.4× 65 0.6× 161 1.5× 11 495
Amirreza Mahbod Austria 10 548 1.8× 549 2.0× 199 1.6× 232 2.0× 136 1.2× 19 870
Jason Hagerty United States 11 273 0.9× 220 0.8× 76 0.6× 94 0.8× 45 0.4× 26 402
Nabin K. Mishra United States 6 305 1.0× 250 0.9× 58 0.5× 115 1.0× 42 0.4× 8 403
Duwei Dai China 10 128 0.4× 222 0.8× 235 1.9× 64 0.5× 127 1.2× 18 444

Countries citing papers authored by Jinman Kim

Since Specialization
Citations

This map shows the geographic impact of Jinman Kim'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 Jinman Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinman Kim more than expected).

Fields of papers citing papers by Jinman Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinman Kim. 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 Jinman Kim. The network helps show where Jinman Kim may publish in the future.

Co-authorship network of co-authors of Jinman Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jinman Kim. A scholar is included among the top collaborators of Jinman Kim 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 Jinman Kim. Jinman Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 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.
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.
4.
Meng, Mingyuan, Dagan Feng, Lei Bi, & Jinman Kim. (2024). Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. 9645–9654. 10 indexed citations
5.
Li, Mingjian, Younhyun Jung, Shaoli Song, & Jinman Kim. (2024). Attention-driven visual emphasis for medical volumetric image visualization. The Visual Computer. 41(5). 3205–3219. 2 indexed citations
7.
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
8.
Bi, Lei, Jinman Kim, Euijoon Ahn, et al.. (2017). Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. IEEE Transactions on Biomedical Engineering. 64(9). 2065–2074. 234 indexed citations
9.
Ahn, Euijoon, Lei Bi, Jinman Kim, et al.. (2015). Automated saliency-based lesion segmentation in dermoscopic images. PubMed. 2015. 3009–3012. 43 indexed citations
10.
Song, Yang, Weidong Cai, Jinman Kim, & Dagan Feng. (2012). A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images. IEEE Transactions on Medical Imaging. 31(5). 1061–1075. 43 indexed citations
11.
Bi, Lei, et al.. (2012). Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies. PubMed. 2012. 5335–5338. 16 indexed citations
12.
Kim, Jinman, Dagan Feng, Weidong Cai, & Stefan Eberl. (2004). Automatic 3D temporal kinetics segmentation of dynamic emission tomography image using adaptive region growing cluster analysis. 2002 IEEE Nuclear Science Symposium Conference Record. 3. 1580–1583. 6 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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