Ju Hong Yoon

21 total papers · 646 total citations
14 papers, 398 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 398 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, Jungho Kim and Seung‐Hwan Bae 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 380 citations

Author Peers

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

Author Last Decade Papers Cites
Ju Hong Yoon 302 149 102 50 39 14 398
Jeany Son 328 1.1× 110 0.7× 56 0.5× 20 0.4× 25 0.6× 15 417
Linlu Qiu 292 1.0× 114 0.8× 69 0.7× 23 0.5× 29 0.7× 8 385
Yubin Wu 259 0.9× 71 0.5× 41 0.4× 21 0.4× 24 0.6× 13 333
Jae Pil Hwang 98 0.3× 151 1.0× 65 0.6× 30 0.6× 61 1.6× 12 333
T. Huang 359 1.2× 117 0.8× 51 0.5× 62 1.2× 33 0.8× 8 445
Bo Li 188 0.6× 175 1.2× 33 0.3× 21 0.4× 33 0.8× 15 393
Vitaly Ablavsky 345 1.1× 101 0.7× 51 0.5× 32 0.6× 11 0.3× 28 423
Rowan McAllister 125 0.4× 171 1.1× 42 0.4× 128 2.6× 21 0.5× 11 380
Hamed Habibi Aghdam 199 0.7× 115 0.8× 31 0.3× 21 0.4× 27 0.7× 20 406
Horesh Ben Shitrit 322 1.1× 121 0.8× 36 0.4× 17 0.3× 25 0.6× 7 368

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

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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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