Hee-Deok Yang

53 total papers · 863 total citations
29 papers, 540 citations indexed

About

Hee-Deok Yang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Hee-Deok Yang has authored 29 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Human-Computer Interaction and 7 papers in Biomedical Engineering. Recurrent topics in Hee-Deok Yang's work include Hand Gesture Recognition Systems (14 papers), Human Pose and Action Recognition (13 papers) and Hearing Impairment and Communication (6 papers). Hee-Deok Yang is often cited by papers focused on Hand Gesture Recognition Systems (14 papers), Human Pose and Action Recognition (13 papers) and Hearing Impairment and Communication (6 papers). Hee-Deok Yang collaborates with scholars based in South Korea, United States and Switzerland. Hee-Deok Yang's co-authors include Seong‐Whan Lee, Mano J. Thubrikar, Vinod B. Makhijani, Z.J. Wang, Avinash Ramyead, Virginie Sterpenich, Stephen Perrig, Sophie Schwartz, Dimitri Van De Ville and Sang‐Woong Lee and has published in prestigious journals such as Nature Communications, Sensors and Pattern Recognition.

In The Last Decade

Hee-Deok Yang

27 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Hee-Deok Yang	290	246	142	94	77	29	540
Dimitrios Konstantinidis	255 0.9×	207 0.8×	112 0.8×	124 1.3×	33 0.4×	31	556
Anthony Whitehead	139 0.5×	277 1.1×	52 0.4×	78 0.8×	29 0.4×	46	530
Fei Wang	90 0.3×	141 0.6×	130 0.9×	29 0.3×	108 1.4×	72	501
Md Aktaruzzaman	107 0.4×	98 0.4×	148 1.0×	60 0.6×	130 1.7×	31	522
Tong Zheng	151 0.5×	138 0.6×	102 0.7×	19 0.2×	38 0.5×	30	471
Jian Wu	253 0.9×	215 0.9×	236 1.7×	109 1.2×	92 1.2×	33	565
Rainer Herpers	145 0.5×	188 0.8×	22 0.2×	31 0.3×	107 1.4×	64	477
James Charles	183 0.6×	450 1.8×	94 0.7×	40 0.4×	18 0.2×	27	543
Jinghui Chu	147 0.5×	242 1.0×	114 0.8×	19 0.2×	97 1.3×	27	559
Duncan Robertson	240 0.8×	360 1.5×	96 0.7×	11 0.1×	61 0.8×	18	558

Countries citing papers authored by Hee-Deok Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hee-Deok Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Deok Yang. 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 Hee-Deok Yang. The network helps show where Hee-Deok Yang may publish in the future.

Co-authorship network of co-authors of Hee-Deok Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hee-Deok Yang. A scholar is included among the top collaborators of Hee-Deok Yang 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 Hee-Deok Yang. Hee-Deok Yang 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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