Dohyun Kim

48 total papers · 545 total citations
27 papers, 199 citations indexed

About

Dohyun Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dohyun Kim has authored 27 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Dohyun Kim's work include Industrial Vision Systems and Defect Detection (3 papers), Face and Expression Recognition (3 papers) and Neural Networks and Applications (3 papers). Dohyun Kim is often cited by papers focused on Industrial Vision Systems and Defect Detection (3 papers), Face and Expression Recognition (3 papers) and Neural Networks and Applications (3 papers). Dohyun Kim collaborates with scholars based in South Korea, United States and Netherlands. Dohyun Kim's co-authors include Seungyeon Lee, Joongheon Kim, Laihyuk Park, Sungrae Cho, Sangheum Hwang, Chulhee Lee, Sang‐Yong Tom Lee, Myong K. Jeong, Chungmok Lee and Junyoung Choi and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Dohyun Kim

24 papers receiving 185 citations

Author Peers

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

Author						Papers	Cites
Dohyun Kim	92	57	42	35	19	27	199
Rogério Luís de C. Costa	80 0.9×	30 0.5×	57 1.4×	27 0.8×	10 0.5×	38	222
Tariq Alsboui	47 0.5×	34 0.6×	53 1.3×	87 2.5×	11 0.6×	23	276
Sérgio N. Silva	38 0.4×	45 0.8×	36 0.9×	23 0.7×	8 0.4×	27	252
Yang Liu	42 0.5×	37 0.6×	91 2.2×	17 0.5×	13 0.7×	33	291
Pınar Öztürk	79 0.9×	64 1.1×	24 0.6×	36 1.0×	16 0.8×	28	190
Mohamed Hamlich	78 0.8×	45 0.8×	22 0.5×	41 1.2×	8 0.4×	35	232
S. Sountharrajan	64 0.7×	38 0.7×	34 0.8×	28 0.8×	14 0.7×	40	201
Debprakash Patnaik	103 1.1×	38 0.7×	70 1.7×	28 0.8×	13 0.7×	18	240
Monika Kashyap	99 1.1×	126 2.2×	26 0.6×	16 0.5×	11 0.6×	21	272
Mingwei Li	95 1.0×	48 0.8×	16 0.4×	64 1.8×	17 0.9×	27	248

Countries citing papers authored by Dohyun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dohyun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dohyun Kim

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