In-Ho Choi

21 papers receiving 298 citations

Peers

In-Ho Choi
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 141
  • Experimental and Cognitive Psychology 86
  • Human-Computer Interaction 83
  • Social Psychology 47
  • Electrical and Electronic Engineering 35
Replace Huabiao Qin with:
Huabiao Qin China
Fengyi Song China
Paul Smith United Kingdom
Jaeik Jo South Korea
Tony Poitschke Germany
Haisong Gu United States
Anirban Dasgupta India
Haowen Wang China
Philipp Michel United States
Wen-Bing Horng Taiwan
In-Ho Choi relative to Huabiao Qin China Huabiao Qin's profile →
Citations per field
00.5×2.8×
Huabiao Qin · 1×
Citations per year

Countries citing papers authored by In-Ho Choi

Since Specialization
Citations

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

Fields of papers citing papers by In-Ho Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Ho Choi. 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 In-Ho Choi. The network helps show where In-Ho Choi may publish in the future.

Co-authorship network of co-authors of In-Ho Choi

This figure shows the co-authorship network connecting the top 25 collaborators of In-Ho Choi. A scholar is included among the top collaborators of In-Ho Choi 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 In-Ho Choi. In-Ho Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 4
3 2
4 27
5 55
6 5
7 11
8 36
9 7
10 0
11 116
12
Robust Facial Expression Recognition Using a Smartphone Working against Illumination Variation
10
13 18
14 2
15
A Study about Facial General Morphologic Characteristics According to Sasang Constitution
4
16 1
17 5
18
Deciding not to Operate in Head Injuries and Legal Considerations.
1
19 5
20 1

About In-Ho Choi

In-Ho Choi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Conservation, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Face and Expression Recognition (7 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Human-Computer Interaction (83 citations), Computer Vision and Pattern Recognition (141 citations) and Experimental and Cognitive Psychology (86 citations). In-Ho Choi has collaborated with scholars based in South Korea. Frequent co-authors include Daijin Kim, Yong-Guk Kim, Bongjin Jun, Sung Kyung Hong, Hoon‐Ju Chung, Ohyun Kim, Ho-Jin Song, Kyung-Hwan Kim, Myoung Hoon Jung and Sun‐Hyung Kim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Microwave Theory and Techniques.

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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