Gi‐Hun Yang

83 total papers · 1.3k total citations
59 papers, 950 citations indexed

About

Gi‐Hun Yang is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Mechanical Engineering. According to data from OpenAlex, Gi‐Hun Yang has authored 59 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 25 papers in Human-Computer Interaction and 23 papers in Mechanical Engineering. Recurrent topics in Gi‐Hun Yang's work include Tactile and Sensory Interactions (30 papers), Teleoperation and Haptic Systems (20 papers) and Interactive and Immersive Displays (14 papers). Gi‐Hun Yang is often cited by papers focused on Tactile and Sensory Interactions (30 papers), Teleoperation and Haptic Systems (20 papers) and Interactive and Immersive Displays (14 papers). Gi‐Hun Yang collaborates with scholars based in South Korea, United States and United Kingdom. Gi‐Hun Yang's co-authors include Dong‐Soo Kwon, Sungchul Kang, Ki‐Uk Kyung, Dongjun Lee, Myungsin Kim, Sangyul Park, Huosheng Hu, Yang Xu, Guo‐Ming Shi and Shuang–Jian Qiu and has published in prestigious journals such as Gut, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Gi‐Hun Yang

58 papers receiving 917 citations

Author Peers

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

Author						Papers	Cites
Gi‐Hun Yang	308	214	164	163	158	59	950
Weize Sun	153 0.5×	137 0.6×	67 0.4×	120 0.7×	39 0.2×	89	915
Cataldo Guaragnella	119 0.4×	113 0.5×	50 0.3×	90 0.6×	40 0.3×	86	999
Byounghyun Yoo	148 0.5×	534 2.5×	36 0.2×	75 0.5×	54 0.3×	74	1.2k
Anderson Maciel	222 0.7×	495 2.3×	20 0.1×	116 0.7×	86 0.5×	96	1.1k
Hailing Zhou	81 0.3×	54 0.3×	101 0.6×	64 0.4×	42 0.3×	71	1.1k
Siyang Zuo	270 0.9×	62 0.3×	28 0.2×	156 1.0×	125 0.8×	88	1.2k
Tong Li	327 1.1×	54 0.3×	76 0.5×	95 0.6×	113 0.7×	90	1.1k
Sungon Lee	96 0.3×	51 0.2×	80 0.5×	51 0.3×	163 1.0×	61	1.2k
Nobuaki Kobayashi	209 0.7×	73 0.3×	28 0.2×	74 0.5×	240 1.5×	173	1.2k
Hao Zhou	116 0.4×	112 0.5×	50 0.3×	158 1.0×	185 1.2×	46	1.1k

Countries citing papers authored by Gi‐Hun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Gi‐Hun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gi‐Hun 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 Gi‐Hun Yang. The network helps show where Gi‐Hun Yang may publish in the future.

Co-authorship network of co-authors of Gi‐Hun Yang

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