Jae‐Hoon Jun

66 papers receiving 545 citations

Peers

Jae‐Hoon Jun
Comparison fields: 5 of 106
  • Physical Therapy, Sports Therapy and Rehabilitation 68
  • Cognitive Neuroscience 126
  • Bioengineering 32
  • Biomedical Engineering 196
  • Neurology 64
Replace Fernanda Irrera with:
Fernanda Irrera Italy
Yasuhide Nakayama Japan
Joan Deffeyes United States
Gerhard Troester Switzerland
Sandra Miccinilli Italy
Jürgen Burger Switzerland
Kelvin B. James Canada
Jason Wheeler United States
Luca Lonini United States
Andy Cranny United Kingdom
Jae‐Hoon Jun relative to Fernanda Irrera Italy Fernanda Irrera's profile →
Citations per field
00.5×1.5×2.3×
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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201039
2 201538
3 200730
4 201129
5 201128
6 201723
7 201219
8 201919
9 201416
10 200216
11 201515
12 201215
13 201113
14 201213
15 201613
16 200912
17 200612
18 201511
19 201611
20 201010

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 73 papers that have together received 557 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (12 papers), CCD and CMOS Imaging Sensors (8 papers), EEG and Brain-Computer Interfaces (7 papers), Ocular and Laser Science Research (6 papers), Laser Applications in Dentistry and Medicine (6 papers), Balance, Gait, and Falls Prevention (5 papers), Advanced MEMS and NEMS Technologies (5 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (68 citations), Cognitive Neuroscience (126 citations), Bioengineering (32 citations), Biomedical Engineering (196 citations) and Neurology (64 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, Suhwan Kim, Byung Kyu Park, Gye‐Rae Tack, Jeong‐Han Yi, Mi‐Hyun Choi, Yuri Kwon, Jang‐Yeon Park and Seong‐Beom Koh. Their work appears in journals such as Bio-Medical Materials and Engineering, IEEE Sensors Journal, Geriatrics and gerontology international, Sensors and Behavior Research Methods.

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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