Yina Wu

2.0k citations
50 papers · 1.5k indexed · h-index 24

Yina Wu

49 papers receiving 1.5k citations

Peers

Yina Wu
Comparison fields: 5 of 87
  • Safety, Risk, Reliability and Quality 1.0k
  • Automotive Engineering 632
  • Control and Systems Engineering 572
  • Building and Construction 461
  • Transportation 314
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Yina Wu relative to Yasir Ali Australia Yasir Ali's profile →
Citations per field
00.5×1.5×
Yasir Ali · 1×
Citations per year

Countries citing papers authored by Yina Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yina Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yina Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yina Wu. A scholar is included among the top collaborators of Yina 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 Yina Wu. Yina 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
#WorkIndexed citations
1 7
2 9
3 26
4 16
5 19
6 41
7 15
8 25
9 53
10 30
11 45
12
Improving Flow and Safety in Low Visibility Conditions by Applying Connected Vehicles and Variable Speed Limits Technologies
4
13
Effects of Connected-Vehicle Warning Systems on Rear-End Crash Avoidance Behavior Under Fog Conditions
6
14
Optimization of In-Vehicle Warning and Assistance Information Design Under Reduced Visibility in Connected Vehicle Environment
1
15 119
16
Rear-End Crash Risk Algorithm under Fog Condition Based on Kinematics Analysis
3
17
Analysis of the Impact of Fog Warning systems on Driver Behavior Under Reduced Visibility Conditions Using a Driving Simulator
3
18 112
19 38
20 100

About Yina Wu

Yina Wu is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Transportation, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Traffic and Road Safety (37 papers), Traffic control and management (22 papers) and Autonomous Vehicle Technology and Safety (20 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.0k citations), Automotive Engineering (632 citations) and Transportation (314 citations). Yina Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Mohamed Abdel‐Aty, Jaeyoung Lee, Ou Zheng, Qing Cai, Lishengsa Yue, Jinghui Yuan, Juneyoung Park, Shile Zhang, Ling Wang and Md Sharikur Rahman. Their work appears in journals such as PLoS ONE, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

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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