Daesub Yoon

625 total citations
60 papers, 391 citations indexed

About

Daesub Yoon is a scholar working on Social Psychology, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Daesub Yoon has authored 60 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Social Psychology, 16 papers in Automotive Engineering and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Daesub Yoon's work include Human-Automation Interaction and Safety (26 papers), Autonomous Vehicle Technology and Safety (15 papers) and Traffic and Road Safety (12 papers). Daesub Yoon is often cited by papers focused on Human-Automation Interaction and Safety (26 papers), Autonomous Vehicle Technology and Safety (15 papers) and Traffic and Road Safety (12 papers). Daesub Yoon collaborates with scholars based in South Korea, United States and Australia. Daesub Yoon's co-authors include Cheong Hee Park, Rohae Myung, N. Hari Narayanan, W.J. Kim, Chaoyun Zhang, Paul Patras, Rui Li, Il Keun Kwon, Bo Liu and Ju‐Wan Kim and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Daesub Yoon

52 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daesub Yoon South Korea 10 188 115 106 71 59 60 391
Christoph Blaschke Germany 6 210 1.1× 97 0.8× 102 1.0× 111 1.6× 73 1.2× 10 379
Dengbo He Hong Kong 11 244 1.3× 130 1.1× 157 1.5× 59 0.8× 54 0.9× 65 471
Fanxing Meng China 9 203 1.1× 80 0.7× 142 1.3× 109 1.5× 80 1.4× 31 499
Barbara Deml Germany 9 228 1.2× 98 0.9× 104 1.0× 64 0.9× 122 2.1× 43 444
Ignacio Álvarez United States 11 195 1.0× 173 1.5× 100 0.9× 28 0.4× 85 1.4× 42 463
Sean Seaman United States 13 363 1.9× 167 1.5× 219 2.1× 109 1.5× 116 2.0× 29 632
Dylan Moore United States 11 295 1.6× 101 0.9× 100 0.9× 56 0.8× 101 1.7× 22 486
Amardeep Sathyanarayana United States 11 128 0.7× 255 2.2× 93 0.9× 61 0.9× 33 0.6× 20 426
Alea Mehler United States 6 173 0.9× 111 1.0× 159 1.5× 31 0.4× 22 0.4× 14 389

Countries citing papers authored by Daesub Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Daesub Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daesub Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Daesub Yoon. A scholar is included among the top collaborators of Daesub Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daesub Yoon. Daesub Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jang, Eun-Hye, et al.. (2025). Classifying social and physical pain from multimodal physiological signals using machine learning. Scientific Reports. 15(1). 27674–27674.
2.
Jang, Eun-Hye, et al.. (2024). Comparing multimodal physiological responses to social and physical pain in healthy participants. Frontiers in Public Health. 12. 1387056–1387056. 2 indexed citations
3.
Yoon, Daesub, et al.. (2024). Interpretable Support Vector Machine and Its Application to Rehabilitation Assessment. Electronics. 13(18). 3584–3584. 1 indexed citations
4.
Park, Tae Sung, et al.. (2023). Factors affecting real‐time evaluation of muscle function in smart rehab systems. ETRI Journal. 45(4). 603–614.
5.
Lee, Giyoung, et al.. (2023). Study on WiFi-based Indoor Positioning Prediction using Machine Learning Techniques. 1471–1474. 1 indexed citations
6.
Kim, Min‐Jung, et al.. (2023). Machine learning-based classification analysis of knowledge worker mental stress. Frontiers in Public Health. 11. 1302794–1302794. 2 indexed citations
7.
Kim, Minjung, et al.. (2023). Integrated Raw Data Collection and Validation System for Indoor Positioning. 1–6. 1 indexed citations
9.
Lim, Young-Jae, et al.. (2021). Unified Information Data Model for Semantic Interoperability of Digital Twins. Journal of Digital Contents Society. 22(5). 823–829. 2 indexed citations
10.
Yoon, Daesub, et al.. (2020). A Study on Human Factors Guidelines for Level 3 Automated Vehicles. 35(6). 24–36.
11.
Kim, Min Jung, et al.. (2020). Requirements and Design of Mental Health System for Stress Management of Knowledge Workers. 1829–1832. 3 indexed citations
13.
Yoon, Daesub, et al.. (2016). Learning control policy for parcel singulation. 138–140.
14.
Yoon, Daesub, et al.. (2016). Driving characteristics analysis of young and middle-aged drivers. 864–867. 8 indexed citations
15.
Yoon, Daesub, et al.. (2014). A Validation Study on a Subjective Driving Workload Prediction Tool. IEEE Transactions on Intelligent Transportation Systems. 15(4). 1835–1843. 4 indexed citations
16.
Yoon, Daesub, et al.. (2014). Driver Workload Characteristics Analysis Using EEG Data From an Urban Road. IEEE Transactions on Intelligent Transportation Systems. 15(4). 1844–1849. 45 indexed citations
17.
Yoon, Daesub, et al.. (2013). The comparison of the predicted driving workload with the drivers’ physiological information while curve negotiation in the local road. 대한인간공학회 학술대회논문집. 31–34. 2 indexed citations
18.
Yoon, Daesub, et al.. (2011). The Relations between the Drivers' Subjective Workload Characteristics and Driving Behaviors. 대한인간공학회 학술대회논문집. 59–63. 1 indexed citations
19.
Yoon, Daesub, et al.. (2008). Future Automotive Insurance System based on Telematics Technology. International Conference on Advanced Communication Technology. 679–681. 8 indexed citations
20.
Narayanan, N. Hari & Daesub Yoon. (2003). Reactive Information Displays. International Conference on Human-Computer Interaction. 58(12). 1246–55. 4 indexed citations

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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