Sang Chul Ahn

138 total papers · 1.6k total citations
80 papers, 1.1k citations indexed

About

Sang Chul Ahn is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Sang Chul Ahn has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 23 papers in Control and Systems Engineering and 23 papers in Human-Computer Interaction. Recurrent topics in Sang Chul Ahn's work include Advanced Vision and Imaging (21 papers), Virtual Reality Applications and Impacts (12 papers) and Context-Aware Activity Recognition Systems (10 papers). Sang Chul Ahn is often cited by papers focused on Advanced Vision and Imaging (21 papers), Virtual Reality Applications and Impacts (12 papers) and Context-Aware Activity Recognition Systems (10 papers). Sang Chul Ahn collaborates with scholars based in South Korea and United States. Sang Chul Ahn's co-authors include Hyoung-Gon Kim, Ig-Jae Kim, Wook Hyun Кwon, Yong Ho Kim, Yong-Moo Kwon, Heedong Ko, Young Soo Moon, Jeong-Seon Park, Hwasup Lim and Won Chul Kim and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.

In The Last Decade

Sang Chul Ahn

73 papers receiving 958 citations

Author Peers

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

Author						Papers	Cites
Sang Chul Ahn	525	209	173	148	138	80	1.1k
Wentao Liu	432 0.8×	132 0.6×	69 0.4×	59 0.4×	114 0.8×	90	993
Kohtaro Ohba	344 0.7×	423 2.0×	68 0.4×	76 0.5×	105 0.8×	110	924
Alfredo Gardel	562 1.1×	81 0.4×	69 0.4×	148 1.0×	424 3.1×	105	1.2k
Chong Wang	524 1.0×	95 0.5×	220 1.3×	81 0.5×	80 0.6×	90	968
Hong Bao	385 0.7×	101 0.5×	33 0.2×	119 0.8×	132 1.0×	146	1.0k
Dave Shreiner	453 0.9×	86 0.4×	95 0.5×	129 0.9×	44 0.3×	33	1.0k
M. J. E. Salami	184 0.4×	150 0.7×	135 0.8×	100 0.7×	183 1.3×	100	959
Chi‐Yi Tsai	639 1.2×	196 0.9×	46 0.3×	46 0.3×	66 0.5×	78	1.1k
Sungjoon Choi	487 0.9×	232 1.1×	40 0.2×	120 0.8×	172 1.2×	60	1.0k
Masafumi Hashimoto	341 0.6×	214 1.0×	93 0.5×	96 0.6×	112 0.8×	143	827

Countries citing papers authored by Sang Chul Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Sang Chul Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Chul Ahn. 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 Sang Chul Ahn. The network helps show where Sang Chul Ahn may publish in the future.

Co-authorship network of co-authors of Sang Chul Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Chul Ahn. A scholar is included among the top collaborators of Sang Chul Ahn 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 Sang Chul Ahn. Sang Chul Ahn 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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