Jong‐Yun Kim

88 total papers · 561 total citations
36 papers, 388 citations indexed

About

Jong‐Yun Kim is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Jong‐Yun Kim has authored 36 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Jong‐Yun Kim's work include Chaos-based Image/Signal Encryption (6 papers), Neuroscience and Neural Engineering (4 papers) and Robotic Path Planning Algorithms (3 papers). Jong‐Yun Kim is often cited by papers focused on Chaos-based Image/Signal Encryption (6 papers), Neuroscience and Neural Engineering (4 papers) and Robotic Path Planning Algorithms (3 papers). Jong‐Yun Kim collaborates with scholars based in South Korea, United Kingdom and United States. Jong‐Yun Kim's co-authors include Hyondong Oh, Byeong‐Young Cho, Peter Afflerbach, Seongjae Lee, In Lee, Yeo‐Joo Yoon, Sung Soo Park, Yong Sun Won, Jae‐Sung Bae and Daniel J. Inman and has published in prestigious journals such as ACS Nano, Chemical Engineering Journal and Expert Systems with Applications.

In The Last Decade

Jong‐Yun Kim

32 papers receiving 357 citations

Author Peers

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

Author Last Decade Papers Cites
Jong‐Yun Kim 115 99 85 70 44 36 388
Sanowar Khan 23 0.2× 42 0.4× 122 1.4× 50 0.7× 19 0.4× 60 446
Jan Helbo 38 0.3× 46 0.5× 28 0.3× 72 1.0× 54 1.2× 24 377
Dehong Yu 131 1.1× 38 0.4× 46 0.5× 38 0.5× 7 0.2× 33 427
Daniel Raviv 159 1.4× 53 0.5× 51 0.6× 29 0.4× 10 0.2× 76 371
Dawar Khan 104 0.9× 52 0.5× 35 0.4× 22 0.3× 8 0.2× 50 390
Geping Liu 28 0.2× 22 0.2× 101 1.2× 38 0.5× 55 1.3× 42 342
Rafael Casado 42 0.4× 92 0.9× 72 0.8× 20 0.3× 7 0.2× 39 372
San Kim 50 0.4× 32 0.3× 32 0.4× 35 0.5× 166 3.8× 37 369
Young-Geun Kim 136 1.2× 44 0.4× 60 0.7× 6 0.1× 6 0.1× 60 441
James Cunningham 39 0.3× 18 0.2× 66 0.8× 12 0.2× 12 0.3× 31 380

Countries citing papers authored by Jong‐Yun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Yun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Yun Kim. 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 Jong‐Yun Kim. The network helps show where Jong‐Yun Kim may publish in the future.

Co-authorship network of co-authors of Jong‐Yun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Yun Kim. A scholar is included among the top collaborators of Jong‐Yun Kim 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 Jong‐Yun Kim. Jong‐Yun Kim 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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