Jae‐chan Jeong

34 total papers · 1.5k total citations
18 papers, 149 citations indexed

About

Jae‐chan Jeong is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Media Technology. According to data from OpenAlex, Jae‐chan Jeong has authored 18 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 5 papers in Media Technology. Recurrent topics in Jae‐chan Jeong's work include Advanced Vision and Imaging (7 papers), Image Processing Techniques and Applications (5 papers) and Characterization and Applications of Magnetic Nanoparticles (4 papers). Jae‐chan Jeong is often cited by papers focused on Advanced Vision and Imaging (7 papers), Image Processing Techniques and Applications (5 papers) and Characterization and Applications of Magnetic Nanoparticles (4 papers). Jae‐chan Jeong collaborates with scholars based in South Korea, Germany and Mongolia. Jae‐chan Jeong's co-authors include Hyobong Hong, Sung‐Nam Lee, Chel‐Jong Choi, Jiho Chang, I. Jyothi, V. Janardhanam, Seung‐Min Choi, Hans‐Joachim Krause, Dae‐Yong Song and Sang-Jin Park and has published in prestigious journals such as Scientific Reports, Journal of Alloys and Compounds and International Journal of Nanomedicine.

In The Last Decade

Jae‐chan Jeong

18 papers receiving 146 citations

Author Peers

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

Author Last Decade Papers Cites
Jae‐chan Jeong 68 65 46 33 31 18 149
O. Yu. Moiseev 47 0.7× 150 2.3× 154 3.3× 9 0.3× 15 0.5× 21 259
Kwan Jeong 46 0.7× 126 1.9× 159 3.5× 11 0.3× 14 0.5× 22 285
Tonmoy Chakraborty 86 1.3× 65 1.0× 58 1.3× 23 0.7× 26 0.8× 21 206
Youngjin Kim 72 1.1× 102 1.6× 60 1.3× 8 0.2× 7 0.2× 16 273
Kazuki Yamamoto 59 0.9× 12 0.2× 62 1.3× 91 2.8× 20 0.6× 19 248
Cheng Jiang 47 0.7× 47 0.7× 70 1.5× 67 2.0× 37 1.2× 19 195
K. Hanaoka 66 1.0× 119 1.8× 22 0.5× 62 1.9× 2 0.1× 15 249
Antonín Vašíček 51 0.8× 48 0.7× 48 1.0× 37 1.1× 5 0.2× 21 199
Wenfeng Fu 84 1.2× 16 0.2× 75 1.6× 35 1.1× 3 0.1× 24 238
Yukito Saitoh 40 0.6× 74 1.1× 61 1.3× 26 0.8× 3 0.1× 15 177

Countries citing papers authored by Jae‐chan Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐chan Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐chan Jeong. 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 Jae‐chan Jeong. The network helps show where Jae‐chan Jeong may publish in the future.

Co-authorship network of co-authors of Jae‐chan Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐chan Jeong. A scholar is included among the top collaborators of Jae‐chan Jeong 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 Jae‐chan Jeong. Jae‐chan Jeong 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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