Kun-Feng Wu
- Safety, Risk, Reliability and Quality top 0.5%
- Automotive Engineering top 5%
- Transportation top 5%
- Building and Construction top 5%
- Social Psychology top 10%
- Co-authors
- Paul P. JovanisJonathan Agüero-ValverdeEric T. DonnellRoger K. YehLekshmi SasidharanKuancheng HuangScott HimesChen Chen
- Topics
- Traffic and Road Safety (25 papers)Urban Transport and Accessibility (9 papers)Human-Automation Interaction and Safety (8 papers)
- Journals
- Accident Analysis & PreventionTransportation Research Part C Emerging TechnologiesTransportation Research Part E Logistics and Transportation Review
- Partner nations
- TaiwanUnited StatesCosta Rica
In The Last Decade
Kun-Feng Wu
29 papers receiving 540 citations
Peers
Comparison fields: 5 of 54
- Safety, Risk, Reliability and Quality 440
- Automotive Engineering 193
- Transportation 156
- Building and Construction 134
- Social Psychology 122
Countries citing papers authored by Kun-Feng Wu
This map shows the geographic impact of Kun-Feng Wu'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 Kun-Feng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun-Feng Wu more than expected).
Fields of papers citing papers by Kun-Feng Wu
This network shows the impact of papers produced by Kun-Feng Wu. 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 Kun-Feng Wu. The network helps show where Kun-Feng Wu may publish in the future.
Co-authorship network of co-authors of Kun-Feng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Kun-Feng Wu. A scholar is included among the top collaborators of Kun-Feng Wu 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 Kun-Feng Wu. Kun-Feng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 11 | |
| 6 | 11 | |
| 7 | 30 | |
| 8 | Cohort-Based Analysis Structure for Modeling Driver Behavior Using an In-Vehicle Data Recorder | 1 |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 65 | |
| 12 | 73 | |
| 13 | 26 | |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 68 | |
| 17 | Defining, Screening, and Validating Crash Surrogate Events Using Naturalistic Driving Data | 8 |
| 18 | DEFINING, SCREENING, AND TESTING CRASH SURROGATES USING NATURALISTIC DRIVING DATA | 1 |
| 19 | 98 | |
| 20 | 13 |
About Kun-Feng Wu
Kun-Feng Wu is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Automotive Engineering, having authored 29 papers that have together received 557 indexed citations. Recurring topics across this work include Traffic and Road Safety (25 papers), Urban Transport and Accessibility (9 papers) and Human-Automation Interaction and Safety (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (440 citations), Transportation (156 citations) and Automotive Engineering (193 citations). Kun-Feng Wu has collaborated with scholars based in Taiwan, United States and Costa Rica. Frequent co-authors include Paul P. Jovanis, Jonathan Agüero-Valverde, Eric T. Donnell, Roger K. Yeh, Lekshmi Sasidharan, Kuancheng Huang, Scott Himes, Chen Chen, Martin T. Pietrucha and Tong Lin. Their work appears in journals such as Accident Analysis & Prevention, Transportation Research Part C Emerging Technologies and Transportation Research Part E Logistics and Transportation Review.
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.