Dong‐Joong Kang

117 total papers · 1.2k total citations
70 papers, 898 citations indexed

About

Dong‐Joong Kang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Dong‐Joong Kang has authored 70 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Dong‐Joong Kang's work include Video Surveillance and Tracking Methods (14 papers), Industrial Vision Systems and Defect Detection (12 papers) and Image and Object Detection Techniques (11 papers). Dong‐Joong Kang is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Industrial Vision Systems and Defect Detection (12 papers) and Image and Object Detection Techniques (11 papers). Dong‐Joong Kang collaborates with scholars based in South Korea, China and United Kingdom. Dong‐Joong Kang's co-authors include Jun-Hyub Park, Teng Zhu, Jong-Eun Ha, Jong‐Seob Won, Jeonghyun Kim, Jeonghyun Kim, Feifei Chen, Hak‐Joo Lee, Son‐Cheol Yu and Baopeng Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Journal of Physics D Applied Physics.

In The Last Decade

Dong‐Joong Kang

64 papers receiving 856 citations

Author Peers

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

Author Last Decade Papers Cites
Dong‐Joong Kang 455 281 157 142 140 70 898
Doo-Hyun Choi 329 0.7× 138 0.5× 124 0.8× 70 0.5× 165 1.2× 84 1.0k
Sang Jun Lee 359 0.8× 305 1.1× 139 0.9× 36 0.3× 76 0.5× 60 835
Gyogwon Koo 180 0.4× 188 0.7× 143 0.9× 100 0.7× 57 0.4× 35 762
Xinyue Zhao 499 1.1× 138 0.5× 110 0.7× 37 0.3× 62 0.4× 70 774
Fang Zhang 251 0.6× 129 0.5× 92 0.6× 38 0.3× 79 0.6× 72 895
Xiao Lu 398 0.9× 155 0.6× 64 0.4× 47 0.3× 145 1.0× 81 992
Brian Surgenor 118 0.3× 162 0.6× 238 1.5× 139 1.0× 69 0.5× 89 754
Yuxiang Yang 334 0.7× 97 0.3× 69 0.4× 62 0.4× 152 1.1× 57 854
Xiaosheng Cheng 265 0.6× 100 0.4× 185 1.2× 89 0.6× 57 0.4× 68 733
Zaixing He 384 0.8× 118 0.4× 98 0.6× 34 0.2× 40 0.3× 57 706

Countries citing papers authored by Dong‐Joong Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Joong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Joong Kang. 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 Dong‐Joong Kang. The network helps show where Dong‐Joong Kang may publish in the future.

Co-authorship network of co-authors of Dong‐Joong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Joong Kang. A scholar is included among the top collaborators of Dong‐Joong Kang 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 Dong‐Joong Kang. Dong‐Joong Kang 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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