Junsu Bae

400 citations
45 papers · 285 · h-index 6

Impact in

Papers in

Junsu Bae

36 papers receiving 266 citations

Peers

Junsu Bae
Comparison fields: 5 of 54
  • Computational Mechanics 184
  • Fluid Flow and Transfer Processes 41
  • Safety Research 44
  • Physical Therapy, Sports Therapy and Rehabilitation 16
  • Biomedical Engineering 111
Replace R. L. Fearn with:
R. L. Fearn United States
Robert J. Sumner Canada
A. S. Roberts United States
Paulo Martins Portugal
Matthew Horowitz United States
James G. Manning Australia
Andrew Gerhart United States
Marcos Ortega Brazil
Eric M. Clementoni United States
R. J. A. Janssen Netherlands
Junsu Bae relative to R. L. Fearn United States R. L. Fearn's profile →
Citations per field
00.5×12.3×
R. L. Fearn · 1×
Citations per year

Countries citing papers authored by Junsu Bae

Since Specialization
Citations

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

Fields of papers citing papers by Junsu Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Junsu Bae, 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 Junsu Bae Line = papers co-authored together Junsu Bae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008171
2 200917
3 202112
4 20208
5 20186
6 20245
7 20195
8 20184
9 20214
10 20204
11 20194
12 20183
13 20193
14 20213
15 20202
16 20192
17 20202
18
Development of the Life Skills Program for Student-Athletes Using Multi-Dimensional Approaches
20202
19 20232
20 20242

About Junsu Bae

Junsu Bae is a scholar working on Sociology and Political Science, Information Systems, Safety Research, Social Psychology and Public Health, Environmental and Occupational Health, having authored 45 papers that have together received 285 indexed citations. Recurring topics across this work include Psychosocial Factors Impacting Youth (22 papers), Education and Learning Interventions (16 papers), Youth Development and Social Support (11 papers), Motivation and Self-Concept in Sports (10 papers), Diverse Approaches in Healthcare and Education Studies (8 papers), Educational Systems and Policies (5 papers), Advanced Vision and Imaging (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computational Mechanics (184 citations), Fluid Flow and Transfer Processes (41 citations), Safety Research (44 citations), Physical Therapy, Sports Therapy and Rehabilitation (16 citations) and Biomedical Engineering (111 citations). Junsu Bae has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include S. He, Hong‐Gyoo Sohn, Soo Hyeon Kim, Jinkyoung Yoo, Namhoon Kim, Soyeon Park, Oh‐Jung Kwon, David M. O’Sullivan, Wi-Young So and Hyun Kyoung Kim. Their work appears in journals such as Sensors, Scientific Reports, International Journal of Environmental Research and Public Health, Journal of Fluid Mechanics and Measurement in Physical Education and Exercise Science.

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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