Jaehyun Han
- Cognitive Neuroscience top 5%
- Automotive Engineering top 5%
- Experimental and Cognitive Psychology top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Myoungho SunwooDongchul KimCaroline MichelBruno RossionChan-Sup ChungRoberto CaldaraJong‐Souk YeoJun‐Young Lee
- Topics
- Graphene research and applications (5 papers)Autonomous Vehicle Technology and Safety (5 papers)Risk and Safety Analysis (4 papers)
- Partner nations
- South KoreaUnited KingdomChina
In The Last Decade
Jaehyun Han
25 papers receiving 891 citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 360
- Automotive Engineering 278
- Experimental and Cognitive Psychology 238
- Electrical and Electronic Engineering 226
- Computer Vision and Pattern Recognition 196
Countries citing papers authored by Jaehyun Han
This map shows the geographic impact of Jaehyun Han'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 Jaehyun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaehyun Han more than expected).
Fields of papers citing papers by Jaehyun Han
This network shows the impact of papers produced by Jaehyun Han. 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 Jaehyun Han. The network helps show where Jaehyun Han may publish in the future.
Co-authorship network of co-authors of Jaehyun Han
This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyun Han. A scholar is included among the top collaborators of Jaehyun Han 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 Jaehyun Han. Jaehyun Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 59 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 14 | |
| 10 | Improvement of Safety Management System in Air Transportation Industry | 1 |
| 11 | 15 | |
| 12 | 54 | |
| 13 | 28 | |
| 14 | 8 | |
| 15 | 143 | |
| 16 | The Analysis of South Korea Medical Tourism Services for the Differences Perceptions by Medical Tourists and Hospital Staffs | 2 |
| 17 | Development of an Autonomous Vehicle: A1 | 7 |
| 18 | 166 | |
| 19 | 2 | |
| 20 | 374 |
About Jaehyun Han
Jaehyun Han is a scholar working on Automotive Engineering, Statistics, Probability and Uncertainty and Radiological and Ultrasound Technology, having authored 26 papers that have together received 919 indexed citations. Recurring topics across this work include Graphene research and applications (5 papers), Autonomous Vehicle Technology and Safety (5 papers) and Risk and Safety Analysis (4 papers). The work is most often cited by research in Automotive Engineering (278 citations), Cognitive Neuroscience (360 citations) and Experimental and Cognitive Psychology (238 citations). Jaehyun Han has collaborated with scholars based in South Korea, United Kingdom and China. Frequent co-authors include Myoungho Sunwoo, Dongchul Kim, Caroline Michel, Bruno Rossion, Chan-Sup Chung, Roberto Caldara, Jong‐Souk Yeo, Jun‐Young Lee, Minchae Lee and Jihye Lee. Their work appears in journals such as Advanced Materials, Nano Letters and Journal of Power Sources.
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.