JongSuk Choi

1.0k citations
108 papers · 736 · h-index 14

Impact in

Papers in

JongSuk Choi

99 papers receiving 695 citations

Peers

JongSuk Choi
Comparison fields: 5 of 102
  • Signal Processing 143
  • Computer Vision and Pattern Recognition 246
  • Human-Computer Interaction 63
  • Cognitive Neuroscience 143
  • Developmental Biology 14
Replace Maja Matarić with:
Maja Matarić United States
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Gökhan İnce Türkiye
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Satoshi Endo Japan
Andrzej Czyżewski Poland
Gerhard Tröster Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by JongSuk Choi

Since Specialization
Citations

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

Fields of papers citing papers by JongSuk Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside JongSuk Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with JongSuk Choi Line = papers co-authored together JongSuk Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201544
2 201541
3 201441
4 200140
5 200835
6 201130
7 201524
8
Human-Robot Interaction in Real Environments by Audio-Visual Integration
200719
9 201319
10 201319
11 200517
12 200114
13
Indoor Mobile Localization System and Stabilization of Localization Performance using Pre-filtering
200813
14 202113
15 201712
16 201312
17 200612
18 201412
19 200612
20 201812

About JongSuk Choi

JongSuk Choi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 108 papers that have together received 736 indexed citations. Recurring topics across this work include Speech and Audio Processing (29 papers), Indoor and Outdoor Localization Technologies (25 papers), Social Robot Interaction and HRI (18 papers), Robotics and Sensor-Based Localization (17 papers), Robotics and Automated Systems (16 papers), Music and Audio Processing (15 papers), Video Surveillance and Tracking Methods (14 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). The work is most often cited by research in Signal Processing (143 citations), Computer Vision and Pattern Recognition (246 citations), Human-Computer Interaction (63 citations), Cognitive Neuroscience (143 citations) and Developmental Biology (14 citations). JongSuk Choi has collaborated with scholars based in South Korea, New Zealand and United States. Frequent co-authors include Kang Park, Jae Seung Bang, Sangseok Yun, Byung Kook Kim, Quang H. Nguyen, Sung-Kee Park, Munsang Kim, Woojin Chung, Insung S. Choi and Mincheol Whang. Their work appears in journals such as Sensors, Journal of Intelligent & Robotic Systems, Intelligent Service Robotics, Journal of Ambient Intelligence and Humanized Computing and Electronics.

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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