Taeho Hur

854 citations
16 papers · 675 · 1 hit paper · h-index 10

Impact in

Papers in

Taeho Hur

14 papers receiving 652 citations

Taeho Hur's Hit Papers

Human Behavior Analysis by Means of Multimodal Context Mining 2016 · 388 citations
3880+3+6Years since publication100200300

Peers

Taeho Hur
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 190
  • Human-Computer Interaction 47
  • Applied Psychology 31
  • Health Informatics 7
  • Computer Networks and Communications 90
Replace Ivan Chorbev with:
Ivan Chorbev North Macedonia
Muhammad Asif Razzaq South Korea
P. Prabu India
Zurinahni Zainol Malaysia
Juan Pablo Garćıa-Vázquez Mexico
Abdulhameed Alelaiwi Saudi Arabia
Caroline Langensiepen United Kingdom
Jaehun Bang South Korea
Claudia Villalonga Spain
Ricardo Araújo Brazil
Taeho Hur relative to Ivan Chorbev North Macedonia Ivan Chorbev's profile →
Citations per field
00.5×3.1×
Ivan Chorbev · 1×
Citations per year

Countries citing papers authored by Taeho Hur

Since Specialization
Citations

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

Fields of papers citing papers by Taeho Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Human Behavior Analysis by Means of Multimodal Context Mining
Hit paper breakdown →
2016388
2 201765
3 201946
4 201836
5 201836
6 201822
7 201718
8 201817
9 202316
10 201512
11 20179
12 20244
13 20184
14 20251
15 20171
16 20250

About Taeho Hur

Taeho Hur is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Social Psychology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 675 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Emotion and Mood Recognition (2 papers), Blood Pressure and Hypertension Studies (2 papers), Human Mobility and Location-Based Analysis (2 papers), Face and Expression Recognition (1 paper), Delphi Technique in Research (1 paper), Heart Failure Treatment and Management (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Human-Computer Interaction (47 citations), Applied Psychology (31 citations), Health Informatics (7 citations) and Computer Networks and Communications (90 citations). Taeho Hur has collaborated with scholars based in South Korea, Australia and Spain. Frequent co-authors include Jaehun Bang, Wajahat Ali Khan, Thien Huynh‐The, Muhammad Bilal Amin, Sungyoung Lee, Oresti Baños, Claudia Villalonga, Muhammad Asif Razzaq, Donguk Kang and Choong Seon Hong. Their work appears in journals such as Sensors, Information Sciences, IEEE Access, Journal of Medical Internet Research and Mayo Clinic Proceedings.

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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