Kun-Feng Wu

712 total citations
29 papers, 557 citations indexed

About

Kun-Feng Wu is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Automotive Engineering. According to data from OpenAlex, Kun-Feng Wu has authored 29 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Safety, Risk, Reliability and Quality, 11 papers in Transportation and 8 papers in Automotive Engineering. Recurrent topics in Kun-Feng Wu's work include Traffic and Road Safety (25 papers), Urban Transport and Accessibility (9 papers) and Human-Automation Interaction and Safety (8 papers). Kun-Feng Wu is often cited by papers focused on Traffic and Road Safety (25 papers), Urban Transport and Accessibility (9 papers) and Human-Automation Interaction and Safety (8 papers). Kun-Feng Wu collaborates with scholars based in Taiwan, United States and Costa Rica. Kun-Feng Wu's co-authors include Paul P. Jovanis, Jonathan Agüero-Valverde, Eric T. Donnell, Roger K. Yeh, Lekshmi Sasidharan, Kuancheng Huang, Chen Chen, Scott Himes, Martin T. Pietrucha and Tong Lin and has published in prestigious journals such as Accident Analysis & Prevention, Transportation Research Part C Emerging Technologies and Transportation Research Part E Logistics and Transportation Review.

In The Last Decade

Kun-Feng Wu

29 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun-Feng Wu 440 193 156 134 122 29 557
Lu Ma 382 0.9× 147 0.8× 302 1.9× 197 1.5× 143 1.2× 44 718
Ali Ghasemzadeh 495 1.1× 256 1.3× 139 0.9× 191 1.4× 109 0.9× 21 638
Harry Lahrmann 298 0.7× 106 0.5× 263 1.7× 134 1.0× 124 1.0× 72 573
Tim De Ceunynck 416 0.9× 184 1.0× 174 1.1× 83 0.6× 115 0.9× 23 520
Sahar Ghanipoor Machiani 262 0.6× 116 0.6× 121 0.8× 115 0.9× 62 0.5× 40 431
Amir Sobhani 343 0.8× 113 0.6× 153 1.0× 101 0.8× 52 0.4× 27 495
Shoaib Mahmud 402 0.9× 215 1.1× 152 1.0× 145 1.1× 57 0.5× 35 564
Mohsen Kamrani 315 0.7× 266 1.4× 159 1.0× 130 1.0× 81 0.7× 21 506
Brendan J. Russo 431 1.0× 126 0.7× 254 1.6× 111 0.8× 100 0.8× 47 625
Lishengsa Yue 339 0.8× 278 1.4× 126 0.8× 158 1.2× 138 1.1× 44 616

Countries citing papers authored by Kun-Feng Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Wu, Kun-Feng, et al.. (2024). Do dotted extensions help guide drivers at a transition area of partial-shadowed left-turn lane? An investigation based on eye movement behavior and visual attention. Transportation Research Part F Traffic Psychology and Behaviour. 107. 834–847. 1 indexed citations
3.
4.
Wu, Kun-Feng, et al.. (2020). Exploring the combined effects of driving situations on freeway rear-end crash risk using naturalistic driving study data. Accident Analysis & Prevention. 150. 105866–105866. 18 indexed citations
5.
Wu, Kun-Feng, et al.. (2019). Exploring the effects of critical driving situations on driver perception time (PT) using SHRP2 naturalistic driving study data. Accident Analysis & Prevention. 128. 94–102. 11 indexed citations
6.
Wu, Kun-Feng, et al.. (2018). Crash sequence based risk matrix for motorcycle crashes. Accident Analysis & Prevention. 117. 21–31. 30 indexed citations
7.
Wu, Kun-Feng, et al.. (2018). Reducing intercity bus crashes through driver rescheduling. Accident Analysis & Prevention. 122. 25–35. 11 indexed citations
8.
Wu, Kun-Feng & Paul P. Jovanis. (2016). Cohort-Based Analysis Structure for Modeling Driver Behavior Using an In-Vehicle Data Recorder. 1 indexed citations
9.
Wu, Kun-Feng, et al.. (2016). Identify sequence of events likely to result in severe crash outcomes. Accident Analysis & Prevention. 96. 198–207. 9 indexed citations
10.
Wu, Kun-Feng, et al.. (2015). A multivariate spatial crash frequency model for identifying sites with promise based on crash types. Accident Analysis & Prevention. 87. 8–16. 65 indexed citations
11.
Wu, Kun-Feng, et al.. (2015). Method for the Use of Naturalistic Driving Study Data to Analyze Rear-End Crash Sequences. Transportation Research Record Journal of the Transportation Research Board. 2518(1). 27–36. 22 indexed citations
12.
Wu, Kun-Feng, Jonathan Agüero-Valverde, & Paul P. Jovanis. (2014). Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level. Accident Analysis & Prevention. 72. 210–218. 73 indexed citations
13.
Wu, Kun-Feng & Paul P. Jovanis. (2013). Screening Naturalistic Driving Study Data for Safety-Critical Events. Transportation Research Record Journal of the Transportation Research Board. 2386(1). 137–146. 26 indexed citations
14.
Jovanis, Paul P., et al.. (2012). Analysis of Existing Data: Prospective Views on Methodological Paradigms. Transportation Research Board eBooks. 10 indexed citations
15.
Wu, Kun-Feng & Paul P. Jovanis. (2012). Defining and screening crash surrogate events using naturalistic driving data. Accident Analysis & Prevention. 61. 10–22. 68 indexed citations
16.
Jovanis, Paul P., Kun-Feng Wu, & Chen Chen. (2012). Effects of Hours of Service and Driving Patterns on Motor Carrier Crashes. Transportation Research Record Journal of the Transportation Research Board. 2281(1). 119–127. 12 indexed citations
17.
Wu, Kun-Feng & Paul P. Jovanis. (2011). Defining, Screening, and Validating Crash Surrogate Events Using Naturalistic Driving Data. 8 indexed citations
18.
Wu, Kun-Feng & Paul P. Jovanis. (2011). Crashes and crash-surrogate events: Exploratory modeling with naturalistic driving data. Accident Analysis & Prevention. 45. 507–516. 98 indexed citations
19.
Wu, Kun-Feng. (2011). DEFINING, SCREENING, AND TESTING CRASH SURROGATES USING NATURALISTIC DRIVING DATA. 1 indexed citations
20.
Wu, Kun-Feng & Roger K. Yeh. (2000). LABELLING GRAPHS WITH THE CIRCULAR DIFFERENCE. Taiwanese Journal of Mathematics. 4(3). 397–405. 13 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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