Byeongchang Kim

32 total papers · 784 total citations
15 papers, 344 citations indexed

About

Byeongchang Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Byeongchang Kim has authored 15 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Byeongchang Kim's work include Natural Language Processing Techniques (8 papers), Speech and dialogue systems (6 papers) and Topic Modeling (6 papers). Byeongchang Kim is often cited by papers focused on Natural Language Processing Techniques (8 papers), Speech and dialogue systems (6 papers) and Topic Modeling (6 papers). Byeongchang Kim collaborates with scholars based in South Korea. Byeongchang Kim's co-authors include Gunhee Kim, Hyunwoo Kim, Hyunwoo Kim, Jong-Hyeok Lee, Jinseok Lee, Seok-Hee Hong, Jinsik Lee, Yu Zheng and Seungwon Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Asian Language Information Processing and IBRO Reports.

In The Last Decade

Byeongchang Kim

15 papers receiving 326 citations

Author Peers

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

Author Last Decade Papers Cites
Byeongchang Kim 223 167 27 18 15 15 344
Amir Tamrakar 105 0.5× 254 1.5× 29 1.1× 14 0.8× 16 1.1× 22 341
Dong Liu 207 0.9× 202 1.2× 25 0.9× 15 0.8× 10 0.7× 11 309
Matej Perše 101 0.5× 232 1.4× 34 1.3× 17 0.9× 4 0.3× 15 387
Kang Min Yoo 285 1.3× 102 0.6× 8 0.3× 27 1.5× 14 0.9× 25 395
Annette Rios 268 1.2× 129 0.8× 17 0.6× 23 1.3× 8 0.5× 24 392
N. Siddharth 212 1.0× 268 1.6× 28 1.0× 6 0.3× 5 0.3× 22 335
Michaela Regneri 230 1.0× 252 1.5× 11 0.4× 12 0.7× 7 0.5× 14 401
Mumit Khan 316 1.4× 127 0.8× 84 3.1× 29 1.6× 10 0.7× 36 401
Giovanni B. Varile 279 1.3× 38 0.2× 54 2.0× 31 1.7× 14 0.9× 11 367
K. Ries 275 1.2× 46 0.3× 83 3.1× 16 0.9× 25 1.7× 11 356

Countries citing papers authored by Byeongchang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Byeongchang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byeongchang Kim

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