Ju Hong Yoon

648 total citations
14 papers, 400 citations indexed

About

Ju Hong Yoon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ju Hong Yoon has authored 14 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Ju Hong Yoon's work include Video Surveillance and Tracking Methods (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Human Pose and Action Recognition (4 papers). Ju Hong Yoon is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Human Pose and Action Recognition (4 papers). Ju Hong Yoon collaborates with scholars based in South Korea, United States and Australia. Ju Hong Yoon's co-authors include Kuk‐Jin Yoon, Ming–Hsuan Yang, Jongwoo Lim, Du Yong Kim, Vladimir Shin, Kuk-Jin Yoon, Yong‐Hoon Kim, Moongu Jeon, Youngbae Hwang and Jong-Hee Park and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and International Journal of Computer Vision.

In The Last Decade

Ju Hong Yoon

14 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Hong Yoon South Korea 7 304 149 102 50 39 14 400
Tim Meinhardt Germany 5 445 1.5× 103 0.7× 126 1.2× 34 0.7× 48 1.2× 9 561
Jeany Son South Korea 8 330 1.1× 110 0.7× 56 0.5× 20 0.4× 25 0.6× 15 420
Huijun Di China 13 523 1.7× 147 1.0× 85 0.8× 34 0.7× 32 0.8× 41 630
Fida El Baf France 4 569 1.9× 98 0.7× 66 0.6× 21 0.4× 63 1.6× 6 617
Werner Ritter Germany 11 132 0.4× 59 0.4× 105 1.0× 93 1.9× 55 1.4× 17 334
Christophe Blanc France 9 172 0.6× 88 0.6× 54 0.5× 83 1.7× 48 1.2× 19 286
Zheng Ge Japan 4 386 1.3× 113 0.8× 96 0.9× 27 0.5× 20 0.5× 5 496
Caglayan Dicle United States 5 247 0.8× 72 0.5× 48 0.5× 44 0.9× 18 0.5× 6 292
Georg Nebehay Austria 5 563 1.9× 58 0.4× 163 1.6× 17 0.3× 52 1.3× 9 628

Countries citing papers authored by Ju Hong Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Ju Hong Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Hong 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 Ju Hong Yoon. The network helps show where Ju Hong Yoon may publish in the future.

Co-authorship network of co-authors of Ju Hong Yoon

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

All Works

14 of 14 papers shown
1.
Yoon, Ju Hong, et al.. (2018). Structural Constraint Data Association for Online Multi-object Tracking. International Journal of Computer Vision. 127(1). 1–21. 25 indexed citations
2.
Yoon, Ju Hong, Jungho Kim, & Youngbae Hwang. (2017). Real-Time Object Tracking via Fusion of Global and Local Appearance Models. IEICE Transactions on Information and Systems. E100.D(11). 2738–2743. 1 indexed citations
3.
Yoon, Ju Hong, et al.. (2016). Online Multi-object Tracking via Structural Constraint Event Aggregation. 1392–1400. 122 indexed citations
4.
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
5.
Yoon, Ju Hong, Ming–Hsuan Yang, & Kuk-Jin Yoon. (2015). Interacting Multiview Tracker. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(5). 903–917. 21 indexed citations
6.
Park, Jong-Hee, et al.. (2014). Dynamic Point Clustering with Line Constraints for Moving Object Detection in DAS. IEEE Signal Processing Letters. 21(10). 1255–1259. 2 indexed citations
7.
Kim, Sunho, et al.. (2014). Object tracking using KLT aided mean-shift object tracker (ICCAS 2014). 140–145. 1 indexed citations
8.
Yoon, Ju Hong, Kuk‐Jin Yoon, & Du Yong Kim. (2013). Multi-object tracking using hybrid observation in PHD filter. eSpace (Curtin University). 3890–3894. 2 indexed citations
9.
Yoon, Ju Hong, Du Yong Kim, & Kuk‐Jin Yoon. (2012). Efficient importance sampling function design for sequential Monte Carlo PHD filter. Signal Processing. 92(9). 2315–2321. 20 indexed citations
10.
Bae, Seung‐Hwan, et al.. (2012). Automated multi-target tracking with kinematic and non-kinematic information. IET Radar Sonar & Navigation. 6(4). 272–281. 6 indexed citations
11.
Yoon, Ju Hong, et al.. (2012). Classification of road surface status using a 94 GHz dual-channel polarimetric radiometer. International Journal of Remote Sensing. 33(18). 5746–5767. 8 indexed citations
12.
Yoon, Ju Hong, et al.. (2011). Joint Initialization and Tracking of Multiple Moving Objects Using Doppler Information. IEEE Transactions on Signal Processing. 59(7). 3447–3452. 38 indexed citations
13.
Kim, Du Yong, Ju Hong Yoon, Yong‐Hoon Kim, & Vladimir Shin. (2010). Distributed information fusion filter with intermittent observations. 1–7. 6 indexed citations
14.
Yoon, Ju Hong, Du Yong Kim, & Vladimir Shin. (2008). Window length selection in linear receding horizon filtering. 153. 2463–2467. 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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