Kibeom Hong

35 total papers · 461 total citations
14 papers, 303 citations indexed

About

Kibeom Hong is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Kibeom Hong has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Kibeom Hong's work include Generative Adversarial Networks and Image Synthesis (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Kibeom Hong is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Kibeom Hong collaborates with scholars based in South Korea, Canada and United States. Kibeom Hong's co-authors include Hyeran Byun, Sunhee Hwang, Pilhyeon Lee, Namhyuk Ahn, Justus Piater, Raphaël Marée, Louis Wehenkel, Youngjung Uh, Pierre Geurts and Junsoo Lee and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Biomedical Signal Processing and Control.

In The Last Decade

Kibeom Hong

12 papers receiving 296 citations

Author Peers

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

Author						Papers	Cites
Kibeom Hong	168	117	97	78	42	14	303
Ahmad Haj Mosa	153 0.9×	190 1.6×	67 0.7×	48 0.6×	32 0.8×	15	327
Muhammad Adeel Asghar	129 0.8×	121 1.0×	56 0.6×	43 0.6×	25 0.6×	27	306
Aditi Sakalle	91 0.5×	70 0.6×	69 0.7×	103 1.3×	37 0.9×	16	321
Xiaojun Ning	224 1.3×	99 0.8×	41 0.4×	55 0.7×	43 1.0×	9	352
Yücel Çimtay	208 1.2×	221 1.9×	61 0.6×	52 0.7×	44 1.0×	13	330
Harshit Bhardwaj	92 0.5×	67 0.6×	67 0.7×	77 1.0×	38 0.9×	27	291
Ruoyu Du	222 1.3×	124 1.1×	45 0.5×	38 0.5×	50 1.2×	28	323
Hao Zhang	160 1.0×	45 0.4×	96 1.0×	50 0.6×	24 0.6×	23	346
Liya Huang	130 0.8×	142 1.2×	92 0.9×	34 0.4×	30 0.7×	35	333
Sunhee Hwang	188 1.1×	132 1.1×	61 0.6×	75 1.0×	52 1.2×	22	303

Countries citing papers authored by Kibeom Hong

Since Specialization

Citations

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

Fields of papers citing papers by Kibeom Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kibeom Hong

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