Jae‐Hoon Jun

73 papers receiving 604 citations

Peers

Jae‐Hoon Jun
Comparison fields: 5 of 117
  • Physical Therapy, Sports Therapy and Rehabilitation 65
  • Cognitive Neuroscience 131
  • Bioengineering 36
  • Biomedical Engineering 196
  • Human-Computer Interaction 25
Replace Fernanda Irrera with:
Fernanda Irrera Italy
Ashley Johnson United States
Yasuhide Nakayama Japan
Chusak Thanawattano Thailand
Tong‐Hun Hwang Germany
Paul P. Breen Australia
Sandra Miccinilli Italy
David E. Thompson United States
Peyman Mirtaheri Norway
Wen‐Hao Hsu Taiwan
Jae‐Hoon Jun relative to Fernanda Irrera Italy Fernanda Irrera's profile →
Citations per field
00.5×1.5×2×2.3×
Fernanda Irrera · 1×
Citations per year

Countries citing papers authored by Jae‐Hoon Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hoon Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Hoon Jun. 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 Jae‐Hoon Jun. The network helps show where Jae‐Hoon Jun may publish in the future.

Co-authors

The 25 scholars most cited alongside Jae‐Hoon Jun, 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 Jae‐Hoon Jun Line = papers co-authored together Jae‐Hoon Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201043
2 201543
3 201130
4 200730
5 201129
6 201129
7 201723
8 201220
9 201920
10 200216
11 201416
12 201216
13 201516
14 201514
15 201614
16 200614
17 201113
18 201213
19 200912
20 201612

About Jae‐Hoon Jun

Jae‐Hoon Jun is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 80 papers that have together received 628 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (12 papers), CCD and CMOS Imaging Sensors (9 papers), EEG and Brain-Computer Interfaces (7 papers), Balance, Gait, and Falls Prevention (5 papers), Tactile and Sensory Interactions (5 papers), Laser Applications in Dentistry and Medicine (5 papers), Advanced MRI Techniques and Applications (5 papers) and Advanced MEMS and NEMS Technologies (5 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (65 citations), Cognitive Neuroscience (131 citations), Bioengineering (36 citations), Biomedical Engineering (196 citations) and Human-Computer Interaction (25 citations). Jae‐Hoon Jun has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Gwang‐Moon Eom, Soon-Cheol Chung, Gye‐Rae Tack, Suhwan Kim, Mi‐Hyun Choi, Byung Kyu Park, Jang‐Yeon Park, Jeong‐Han Yi, Jin‐Seung Choi and Jeong‐Whan Lee. Their work appears in journals such as IEEE Sensors Journal, Bio-Medical Materials and Engineering, Geriatrics and gerontology international, Behavior Research Methods and Sensors.

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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