Jinkyu Kim

193 total papers · 3.0k total citations
74 papers, 1.3k citations indexed

About

Jinkyu Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jinkyu Kim has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 16 papers in Molecular Biology. Recurrent topics in Jinkyu Kim's work include Advanced Neural Network Applications (13 papers), Autonomous Vehicle Technology and Safety (8 papers) and Natural product bioactivities and synthesis (7 papers). Jinkyu Kim is often cited by papers focused on Advanced Neural Network Applications (13 papers), Autonomous Vehicle Technology and Safety (8 papers) and Natural product bioactivities and synthesis (7 papers). Jinkyu Kim collaborates with scholars based in South Korea, United States and Japan. Jinkyu Kim's co-authors include Seunghyun Park, Jou‐Hyeon Ahn, Hyo‐Jun Ahn, Ki-Won Kim, Jaewon Choi, Gouri Cheruvally, John Canny, Youngjun Yoo, Jaekoo Lee and Daehee Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Jinkyu Kim

65 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Jinkyu Kim 397 335 314 209 123 74 1.3k
Qi Wang 375 0.9× 255 0.8× 114 0.4× 147 0.7× 69 0.6× 70 1.2k
Xiang Song 251 0.6× 406 1.2× 333 1.1× 136 0.7× 248 2.0× 80 1.5k
Yinghui Xu 433 1.1× 375 1.1× 184 0.6× 77 0.4× 45 0.4× 48 1.1k
Kai Wu 148 0.4× 681 2.0× 275 0.9× 113 0.5× 81 0.7× 81 1.4k
Andy Song 232 0.6× 653 1.9× 587 1.9× 66 0.3× 55 0.4× 76 1.7k
Yang Li 203 0.5× 189 0.6× 232 0.7× 50 0.2× 93 0.8× 73 1.1k
Jin Li 339 0.9× 526 1.6× 473 1.5× 68 0.3× 72 0.6× 130 1.6k
Yongfei Zhang 569 1.4× 172 0.5× 278 0.9× 73 0.3× 156 1.3× 108 1.4k
Shuang Wu 436 1.1× 288 0.9× 221 0.7× 50 0.2× 73 0.6× 69 1.2k
Noman Khan 298 0.8× 340 1.0× 437 1.4× 88 0.4× 25 0.2× 45 1.1k

Countries citing papers authored by Jinkyu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jinkyu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinkyu Kim

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