Jinghui Yuan

2.6k citations
39 papers · 2.0k indexed · 1 hit paper · h-index 23

Jinghui Yuan

38 papers receiving 1.9k citations

Hit Papers

Real-time crash risk prediction on arterials based on LST...2019202620212023201950100150200250

Peers

Jinghui Yuan
Comparison fields: 5 of 103
  • Safety, Risk, Reliability and Quality 1.3k
  • Building and Construction 1.1k
  • Control and Systems Engineering 672
  • Automotive Engineering 603
  • Transportation 459
Replace Qing Cai with:
Qing Cai United States
Anuj Sharma United States
Rongjie Yu China
Carlos Sun United States
Karim Ismail Canada
Ziyuan Pu China
Liping Fu Canada
Nicolas Saunier Canada
Yina Wu United States
Jinghui Yuan relative to Qing Cai United States Qing Cai's profile →
Citations per field
00.5×1.5×
Qing Cai · 1×
Citations per year

Countries citing papers authored by Jinghui Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jinghui Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghui Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghui Yuan. A scholar is included among the top collaborators of Jinghui Yuan 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 Jinghui Yuan. Jinghui Yuan 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 1
2 11
3 26
4 19
5 6
6 14
7 154
8 60
9 50
10 30
11 38
12 45
13 62
14 144
15
Real-time crash risk prediction on arterials based on LSTM-CNNbreakdown →
275
16 60
17 65
18 107
19 46
20 153

About Jinghui Yuan

Jinghui Yuan is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Automotive Engineering, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Traffic and Road Safety (30 papers), Traffic control and management (24 papers) and Traffic Prediction and Management Techniques (22 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.3k citations), Building and Construction (1.1k citations) and Transportation (459 citations). Jinghui Yuan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mohamed Abdel‐Aty, Qing Cai, Pei Li, Jaeyoung Lee, Yina Wu, Yaobang Gong, Xin Gu, Zubayer Islam, Qiaojun Xiang and Stephen Ison. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

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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