Junmo Kim

9.5k total citations · 2 hit papers
196 papers, 4.8k citations indexed

About

Junmo Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Junmo Kim has authored 196 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Computer Vision and Pattern Recognition, 45 papers in Artificial Intelligence and 16 papers in Biomedical Engineering. Recurrent topics in Junmo Kim's work include Domain Adaptation and Few-Shot Learning (30 papers), Advanced Vision and Imaging (30 papers) and Advanced Neural Network Applications (27 papers). Junmo Kim is often cited by papers focused on Domain Adaptation and Few-Shot Learning (30 papers), Advanced Vision and Imaging (30 papers) and Advanced Neural Network Applications (27 papers). Junmo Kim collaborates with scholars based in South Korea, Canada and United States. Junmo Kim's co-authors include Junho Yim, Donggyu Joo, Ji‐Hoon Bae, Heechul Jung, Sihaeng Lee, Dongyoon Han, Hansang Lee, Yu‐Wing Tai, Jiwhan Kim and Minseok Park and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Junmo Kim

182 papers receiving 4.7k citations

Hit Papers

A Gift from Knowledge Distillation: Fast Optimization, Ne... 2015 2026 2018 2022 2017 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junmo Kim South Korea 32 2.9k 1.5k 505 395 304 196 4.8k
Muhammad Sajjad South Korea 36 2.8k 1.0× 1.5k 1.1× 418 0.8× 300 0.8× 273 0.9× 116 5.0k
Josephine Sullivan Sweden 16 4.2k 1.5× 1.4k 1.0× 436 0.9× 324 0.8× 448 1.5× 38 5.8k
Li Zhang China 45 2.4k 0.8× 2.4k 1.6× 302 0.6× 584 1.5× 262 0.9× 389 7.1k
Sicheng Zhao China 40 3.2k 1.1× 2.2k 1.5× 604 1.2× 182 0.5× 234 0.8× 162 5.6k
Yan Yan China 32 2.9k 1.0× 1.0k 0.7× 337 0.7× 499 1.3× 197 0.6× 266 4.1k
Ruili Wang New Zealand 36 1.8k 0.6× 1.4k 1.0× 271 0.5× 295 0.7× 339 1.1× 216 5.1k
Tingfan Wu China 24 1.1k 0.4× 1.4k 0.9× 488 1.0× 488 1.2× 310 1.0× 56 4.3k
Mingli Song China 40 3.9k 1.4× 1.5k 1.1× 195 0.4× 353 0.9× 540 1.8× 237 5.5k
D. Jude Hemanth India 34 1.5k 0.5× 1.6k 1.1× 248 0.5× 447 1.1× 213 0.7× 219 5.0k
Jean‐Marc Odobez Switzerland 33 3.4k 1.2× 1.2k 0.8× 186 0.4× 308 0.8× 342 1.1× 200 5.0k

Countries citing papers authored by Junmo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Junmo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junmo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Junmo Kim. A scholar is included among the top collaborators of Junmo 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 Junmo Kim. Junmo Kim 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.
Kim, Sumin, Junho Jang, Won Gi Chung, et al.. (2025). Skin‐Tailored Adhesive Bio‐Electrode with Tunable Poisson's Ratio for Stable Electrophysiological Communication. Advanced Healthcare Materials. 14(10). e2404882–e2404882. 2 indexed citations
2.
Kwak, Min‐Jin, Minho Song, Junmo Kim, et al.. (2025). Lacticaseibacillus casei IDCC 3451 alleviates cognitive and behavioral functions by reshaping the gut microbiome and regulating intestinal barrier integrity in chronic stress animal models. Current Research in Food Science. 10. 101051–101051. 3 indexed citations
3.
Suh, Sungho, et al.. (2024). AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. Knowledge-Based Systems. 293. 111692–111692. 3 indexed citations
4.
Kim, Junmo, et al.. (2024). FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 2883–2891. 8 indexed citations
5.
Kim, Junmo, et al.. (2024). Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 2901–2910. 1 indexed citations
6.
Lee, Jae Young, et al.. (2023). Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. 14224–14234. 4 indexed citations
7.
Park, Rae‐Hong, et al.. (2023). Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks. Pattern Recognition Letters. 171. 138–147. 2 indexed citations
8.
Kim, Jinhyung, et al.. (2023). Frequency Selective Augmentation for Video Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1124–1132. 1 indexed citations
9.
Choi, Jaehyun, et al.. (2023). Data Poisoning Attack Aiming the Vulnerability of Continual Learning. 30. 1905–1909. 1 indexed citations
10.
Oh, Ji-Young, Chi‐Sun Hwang, Junmo Kim, et al.. (2022). Dual-Functional Self-Attachable and Stretchable Interface for Universal Three-Dimensional Modular Electronics. ACS Applied Materials & Interfaces. 14(43). 49303–49312. 7 indexed citations
11.
Kim, Junmo, et al.. (2021). SAR Image Generation of Ground Targets for Automatic Target Recognition Using Indirect Information. IEEE Access. 9. 27003–27014. 9 indexed citations
12.
Kim, Junmo, et al.. (2020). A set of failure variables for analyzing stability of slopes and tunnels. Geomechanics and Engineering. 20(3). 175–189. 1 indexed citations
13.
Kim, Junmo, et al.. (2020). Integrating Multiple Receptive Fields Through Grouped Active Convolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 3892–3903. 2 indexed citations
14.
Kim, Doyeon, Donggyu Joo, & Junmo Kim. (2020). TiVGAN: Text to Image to Video Generation With Step-by-Step Evolutionary Generator. IEEE Access. 8. 153113–153122. 39 indexed citations
15.
Kim, Junmo, et al.. (2019). Philippine Readiness for the 4th Industrial Revolution: A Case Study. Asia-Pacific social science review. 19(1). 9 indexed citations
16.
Lee, Jaeyeon, et al.. (2019). Balancing Domain Gap for Object Instance Detection. arXiv (Cornell University). 1 indexed citations
17.
Joo, Donggyu, Junho Yim, & Junmo Kim. (2018). Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling.. British Machine Vision Conference. 45. 1 indexed citations
18.
Joo, Donggyu, Doyeon Kim, & Junmo Kim. (2018). Generating a Fusion Image: One's Identity and Another's Shape. 1635–1643. 27 indexed citations
19.
Kim, Junmo, et al.. (2013). Relationship between Ownership Structure and Performance and Value of Korean Pharmaceutical Firms. Journal of Industrial Economics and Business. 26(4). 1811–1834. 2 indexed citations
20.
Kim, Junmo, et al.. (2012). Marriage Immigration and Gender in South Korea: Accounting for Gender Disparities in International Marriages. Asia-Pacific social science review. 12(2). 7 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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