Kwangyun Wohn

100 total papers · 931 total citations
54 papers, 600 citations indexed

About

Kwangyun Wohn is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction. According to data from OpenAlex, Kwangyun Wohn has authored 54 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Graphics and Computer-Aided Design and 15 papers in Human-Computer Interaction. Recurrent topics in Kwangyun Wohn's work include Computer Graphics and Visualization Techniques (15 papers), Advanced Vision and Imaging (14 papers) and Interactive and Immersive Displays (9 papers). Kwangyun Wohn is often cited by papers focused on Computer Graphics and Visualization Techniques (15 papers), Advanced Vision and Imaging (14 papers) and Interactive and Immersive Displays (9 papers). Kwangyun Wohn collaborates with scholars based in South Korea, Canada and Singapore. Kwangyun Wohn's co-authors include Sungjae Hwang, Jaehong Ahn, Andrea Bianchi, Jung-Hyun Ahn, Soon Ki Jung, Kyong-Ho Kim, Sangwon Lee, Jonghak Kim, Hyung Seok Kim and Dong‐Soo Kwon and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Pattern Recognition Letters and Electronics Letters.

In The Last Decade

Kwangyun Wohn

49 papers receiving 556 citations

Author Peers

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

Author						Papers	Cites
Kwangyun Wohn	311	201	139	85	70	54	600
João Marcelo Teixeira	210 0.7×	265 1.3×	64 0.5×	51 0.6×	79 1.1×	88	572
Florian Niebling	219 0.7×	234 1.2×	77 0.6×	28 0.3×	46 0.7×	48	648
Mashhuda Glencross	173 0.6×	232 1.2×	123 0.9×	23 0.3×	31 0.4×	51	668
Keihachiro Tachibana	370 1.2×	493 2.5×	72 0.5×	63 0.7×	16 0.2×	31	634
Chenglei Yang	167 0.5×	145 0.7×	92 0.7×	43 0.5×	37 0.5×	96	626
Francisco Gomez‐Donoso	118 0.4×	293 1.5×	93 0.7×	48 0.6×	72 1.0×	39	557
Shihui Guo	84 0.3×	317 1.6×	36 0.3×	79 0.9×	78 1.1×	61	556
Yukio Fukui	152 0.5×	118 0.6×	197 1.4×	45 0.5×	61 0.9×	83	505
Lifeng Zhu	135 0.4×	199 1.0×	91 0.7×	82 1.0×	79 1.1×	63	611
Jan Fischer	59 0.2×	380 1.9×	42 0.3×	69 0.8×	54 0.8×	54	565

Countries citing papers authored by Kwangyun Wohn

Since Specialization

Citations

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

Fields of papers citing papers by Kwangyun Wohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangyun Wohn

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