Kuk‐Jin Yoon

6.2k total citations · 2 hit papers
143 papers, 3.9k citations indexed

About

Kuk‐Jin Yoon is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Kuk‐Jin Yoon has authored 143 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Kuk‐Jin Yoon's work include Advanced Vision and Imaging (51 papers), Video Surveillance and Tracking Methods (29 papers) and Robotics and Sensor-Based Localization (29 papers). Kuk‐Jin Yoon is often cited by papers focused on Advanced Vision and Imaging (51 papers), Video Surveillance and Tracking Methods (29 papers) and Robotics and Sensor-Based Localization (29 papers). Kuk‐Jin Yoon collaborates with scholars based in South Korea, Canada and United States. Kuk‐Jin Yoon's co-authors include In So Kweon, Seung‐Hwan Bae, Lin Wang, Ju Hong Yoon, Ming–Hsuan Yang, Jaeseok Jeong, Mingu Kang, Inkyu Park, Incheol Cho and Sung-Hoon Yoon and has published in prestigious journals such as ACS Nano, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Kuk‐Jin Yoon

135 papers receiving 3.8k citations

Hit Papers

Adaptive support-weight approach for correspondence search 2006 2026 2012 2019 2006 2022 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adaptive support-weight approach for correspondence search
    2006 845 citations Kuk‐Jin Yoon, In So Kweon IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm
    2022 164 citations Mingu Kang, Incheol Cho et al. ACS Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuk‐Jin Yoon South Korea 29 3.0k 658 556 540 493 143 3.9k
Seong G. Kong South Korea 34 2.0k 0.7× 276 0.4× 361 0.6× 479 0.9× 1.1k 2.2× 108 3.7k
Qiuping Jiang China 34 3.3k 1.1× 261 0.4× 221 0.4× 412 0.8× 1.4k 2.8× 211 4.4k
Jiangtao Xi Australia 33 1.4k 0.5× 2.1k 3.2× 217 0.4× 130 0.2× 620 1.3× 338 4.2k
Felix Heide United States 36 2.0k 0.7× 443 0.7× 327 0.6× 231 0.4× 1.1k 2.3× 111 3.9k
Jie Qin China 30 2.0k 0.7× 431 0.7× 137 0.2× 1.2k 2.3× 255 0.5× 184 3.5k
Xianping Fu China 30 1.9k 0.7× 125 0.2× 108 0.2× 227 0.4× 698 1.4× 172 2.8k
Feng Wu China 23 861 0.3× 549 0.8× 170 0.3× 266 0.5× 206 0.4× 151 1.9k
Chang D. Yoo South Korea 30 2.0k 0.7× 347 0.5× 165 0.3× 772 1.4× 153 0.3× 181 4.0k
Zhirong Wu China 14 3.1k 1.0× 142 0.2× 569 1.0× 1.6k 3.0× 173 0.4× 37 5.3k
Cornelia Fermüller United States 31 2.0k 0.7× 567 0.9× 591 1.1× 500 0.9× 295 0.6× 144 3.1k

Countries citing papers authored by Kuk‐Jin Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Kuk‐Jin Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuk‐Jin Yoon. 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 Kuk‐Jin Yoon. The network helps show where Kuk‐Jin Yoon may publish in the future.

Co-authorship network of co-authors of Kuk‐Jin Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Kuk‐Jin Yoon. A scholar is included among the top collaborators of Kuk‐Jin Yoon 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 Kuk‐Jin Yoon. Kuk‐Jin Yoon 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, Jihun, et al.. (2025). Multi-View 3D Scene Abstraction From Drone-Captured RGB Images. IEEE Access. 13. 27641–27656. 2 indexed citations
2.
3.
Yoon, Kuk‐Jin, et al.. (2025). WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels. 25377–25387. 1 indexed citations
4.
Jeong, Jaewoo, et al.. (2024). Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10145–10154. 6 indexed citations
5.
Shim, Inwook, et al.. (2023). EasyFuse: Easy-to-learn visible and infrared image fusion framework based on unpaired set. Pattern Recognition Letters. 174. 99–105. 1 indexed citations
6.
Yoon, Kuk‐Jin, et al.. (2023). Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields. 18032–18042. 16 indexed citations
7.
Cho, Incheol, Kichul Lee, Young Chul Sim, et al.. (2023). Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor. Light Science & Applications. 12(1). 95–95. 57 indexed citations
8.
Kang, Mingu, Incheol Cho, Jaeho Park, et al.. (2022). High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm. ACS Sensors. 7(2). 430–440. 164 indexed citations breakdown →
9.
Yoon, Kuk‐Jin, et al.. (2020). Dynamic Anchor Selection for Improving Object Localization. 9477–9483. 4 indexed citations
10.
Wang, Lin & Kuk‐Jin Yoon. (2019). Co-DesignMR: An MR-based Interactive Workstation Design System Supporting Collaboration. arXiv (Cornell University). 1 indexed citations
11.
Yoon, Kuk‐Jin, et al.. (2018). Consistent multiple graph matching with multi-layer random walks synchronization. Pattern Recognition Letters. 127. 76–84. 6 indexed citations
12.
Yoon, Kuk‐Jin, et al.. (2018). Learning and Selecting Confidence Measures for Robust Stereo Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(6). 1397–1411. 17 indexed citations
13.
Yoon, Kuk‐Jin, et al.. (2017). Multi-Attributed Graph Matching With Multi-Layer Graph Structure and Multi-Layer Random Walks. IEEE Transactions on Image Processing. 27(5). 2314–2325. 10 indexed citations
14.
Cho, Hohyun, et al.. (2017). A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology. Applied Ergonomics. 62. 158–167. 17 indexed citations
15.
Yoon, Ju Hong, et al.. (2016). Online Multi-object Tracking via Structural Constraint Event Aggregation. 1392–1400. 122 indexed citations
16.
Cho, Hohyun, Sangtae Ahn, Moonyoung Kwon, et al.. (2016). Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study. Neurosignals. 24(1). 102–112. 4 indexed citations
17.
Yoon, Ju Hong, Ming–Hsuan Yang, Jongwoo Lim, & Kuk‐Jin Yoon. (2015). Bayesian Multi-object Tracking Using Motion Context from Multiple Objects. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 33–40. 142 indexed citations
18.
Yoon, Kuk‐Jin & In So Kweon. (2006). Adaptive support-weight approach for correspondence search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(4). 650–656. 845 indexed citations breakdown →
19.
Yoon, Kuk‐Jin, et al.. (2001). Landmark Design and Real-Time Landmark Tracking Using Color Histogram for Mobile Robot Localization. International Symposium on Robotics. 6 indexed citations
20.
Kweon, In-So, et al.. (2000). A New Technique for Shot Detection and Key Frames Selection in Histogram Space. 72(7). 85–7. 34 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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