Haewon Byeon

196 papers receiving 1.5k citations

Peers

Haewon Byeon
Comparison fields: 5 of 157
  • Speech and Hearing 314
  • Health Informatics 21
  • Physiology 381
  • Health Information Management 62
  • Experimental and Cognitive Psychology 139
Replace H.S.M. Kort with:
H.S.M. Kort Netherlands
João Paulo Teixeira Portugal
Maria Gabriella Ceravolo Italy
Rüdiger Pryss Germany
Frank Rudzicz Canada
Pradeep Y. Ramulu United States
Athanasios Tsanas United Kingdom
Jeong‐Whun Kim South Korea
Lili Liu Canada
Redha Taı̈ar France
Haewon Byeon relative to H.S.M. Kort Netherlands H.S.M. Kort's profile →
Citations per field
00.5×1.5×
H.S.M. Kort · 1×
Citations per year

Countries citing papers authored by Haewon Byeon

Since Specialization
Citations

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

Fields of papers citing papers by Haewon Byeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 201968
3 201040
4 201940
5 202038
6 202034
7 202133
8 201530
9 202028
10 201127
11 201525
12 201425
13 202324
14 201224
15 202323
16 201922
17 201421
18 201621
19 202320
20 201620

About Haewon Byeon

Haewon Byeon is a scholar working on Speech and Hearing, Physiology, Artificial Intelligence, General Health Professions and Clinical Psychology, having authored 235 papers that have together received 1.5k indexed citations. Recurring topics across this work include Dysphagia Assessment and Management (39 papers), Voice and Speech Disorders (38 papers), Health and Wellbeing Research (23 papers), Artificial Intelligence in Healthcare (15 papers), Tracheal and airway disorders (13 papers), Machine Learning in Healthcare (12 papers), Diverse Approaches in Healthcare and Education Studies (12 papers) and Parkinson's Disease Mechanisms and Treatments (11 papers). The work is most often cited by research in Speech and Hearing (314 citations), Health Informatics (21 citations), Physiology (381 citations), Health Information Management (62 citations) and Experimental and Cognitive Psychology (139 citations). Haewon Byeon has collaborated with scholars based in South Korea, India and Saudi Arabia. Frequent co-authors include Yunhwan Lee, Sung-Hyoun Cho, Joung Hwan Back, Jinhee Kim, Mohammad Shabaz, Vediyappan Govindan, Mukesh Soni, Hee-Kyung Jin, Joung Hwan Back and Ismail Keshta. Their work appears in journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Consumer Electronics, Scientific Reports, SLAS TECHNOLOGY and Frontiers in Public Health.

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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