Ju Yong Chang

73 total papers · 1.3k total citations
36 papers, 519 citations indexed

About

Ju Yong Chang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Ju Yong Chang has authored 36 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 7 papers in Control and Systems Engineering. Recurrent topics in Ju Yong Chang's work include Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (12 papers) and 3D Shape Modeling and Analysis (7 papers). Ju Yong Chang is often cited by papers focused on Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (12 papers) and 3D Shape Modeling and Analysis (7 papers). Ju Yong Chang collaborates with scholars based in South Korea, United States and Taiwan. Ju Yong Chang's co-authors include Kyoung Mu Lee, Gyeongsik Moon, Sang Uk Lee, Sue Shin, Jeong Su Park, Sohee Oh, Jeana Hong, Jungil Choi, Ramesh Raskar and Amit Agrawal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Ju Yong Chang

33 papers receiving 501 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 Yong Chang 390 169 126 70 56 36 519
Yi Li 202 0.5× 65 0.4× 190 1.5× 76 1.1× 29 0.5× 42 528
Rui Ma 242 0.6× 21 0.1× 37 0.3× 52 0.7× 108 1.9× 51 500
Luca Ballan 426 1.1× 114 0.7× 102 0.8× 24 0.3× 42 0.8× 21 512
Jingwei Xu 487 1.2× 70 0.4× 77 0.6× 81 1.2× 70 1.3× 23 565
Chun-Hao P. Huang 353 0.9× 42 0.2× 82 0.7× 45 0.6× 105 1.9× 26 455
Di Kang 414 1.1× 74 0.4× 60 0.5× 25 0.4× 96 1.7× 22 505
Can Wang 288 0.7× 16 0.1× 48 0.4× 35 0.5× 141 2.5× 30 480
Chao Xu 387 1.0× 57 0.3× 60 0.5× 59 0.8× 91 1.6× 27 504
Heeseok Oh 335 0.9× 131 0.8× 36 0.3× 26 0.4× 38 0.7× 33 505
Chen Shen 239 0.6× 23 0.1× 100 0.8× 28 0.4× 311 5.6× 15 590

Countries citing papers authored by Ju Yong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Yong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Yong Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Yong Chang. A scholar is included among the top collaborators of Ju Yong Chang 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 Yong Chang. Ju Yong Chang 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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