Jinghui Yuan

2.6k total citations · 1 hit paper
39 papers, 2.0k citations indexed

About

Jinghui Yuan is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Jinghui Yuan has authored 39 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Safety, Risk, Reliability and Quality, 24 papers in Control and Systems Engineering and 22 papers in Building and Construction. Recurrent topics in Jinghui Yuan's work include Traffic and Road Safety (30 papers), Traffic control and management (24 papers) and Traffic Prediction and Management Techniques (22 papers). Jinghui Yuan is often cited by papers focused on Traffic and Road Safety (30 papers), Traffic control and management (24 papers) and Traffic Prediction and Management Techniques (22 papers). Jinghui Yuan collaborates with scholars based in United States, China and United Kingdom. Jinghui Yuan's co-authors include Mohamed Abdel‐Aty, Qing Cai, Pei Li, Jaeyoung Lee, Yina Wu, Yaobang Gong, Xin Gu, Zubayer Islam, Qiaojun Xiang and Mohammed Quddus and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Jinghui Yuan

38 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Real-time crash risk prediction on arterials based on LSTM-CNN

2019 275 citations Pei Li, Mohamed Abdel‐Aty et al. Accident Analysis & Prevention profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jinghui Yuan United States	23	1.3k	1.1k	672	603	459	39	2.0k
Anuj Sharma United States	25	765 0.6×	895 0.8×	630 0.9×	363 0.6×	678 1.5×	116	2.0k
Qing Cai United States	30	1.8k 1.4×	1.0k 1.0×	723 1.1×	683 1.1×	1.1k 2.5×	71	2.7k
Ziyuan Pu China	22	463 0.4×	1.1k 1.0×	716 1.1×	762 1.3×	819 1.8×	67	2.3k
Rongjie Yu China	29	2.0k 1.6×	1.3k 1.2×	717 1.1×	711 1.2×	663 1.4×	103	2.7k
Carlos Sun United States	20	568 0.4×	695 0.7×	684 1.0×	395 0.7×	467 1.0×	124	1.5k
Karim Ismail Canada	23	1.5k 1.1×	411 0.4×	669 1.0×	495 0.8×	472 1.0×	58	1.8k
Yina Wu United States	24	1.0k 0.8×	461 0.4×	572 0.9×	632 1.0×	314 0.7×	50	1.5k
Liping Fu Canada	33	937 0.7×	1.1k 1.0×	490 0.7×	676 1.1×	1.2k 2.7×	115	2.9k
Jun-Seok Oh United States	23	449 0.4×	632 0.6×	519 0.8×	315 0.5×	745 1.6×	141	1.9k

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

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20 of 20 papers shown

Shi, Yang, Zhenbo Wang, Tim J. LaClair, et al.. (2023). A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles. Applied Sciences. 13(4). 2750–2750. 11 indexed citations

Abdel‐Aty, Mohamed, Yina Wu, Ou Zheng, & Jinghui Yuan. (2022). Using closed-circuit television cameras to analyze traffic safety at intersections based on vehicle key points detection. Accident Analysis & Prevention. 176. 106794–106794. 26 indexed citations

Li, Yunxuan, Meng Li, Jinghui Yuan, Jian Lü, & Mohamed Abdel‐Aty. (2021). Analysis and prediction of intersection traffic violations using automated enforcement system data. Accident Analysis & Prevention. 162. 106422–106422. 14 indexed citations

Wang, Xuesong, et al.. (2021). Meso-level hotspot identification for suburban arterials. Accident Analysis & Prevention. 156. 106148–106148. 6 indexed citations

Yuan, Jinghui, et al.. (2021). Developing safety performance functions for freeways at different aggregation levels using multi-state microscopic traffic detector data. Accident Analysis & Prevention. 151. 105984–105984. 19 indexed citations

Islam, Zubayer, Mohamed Abdel‐Aty, Qing Cai, & Jinghui Yuan. (2020). Crash data augmentation using variational autoencoder. Accident Analysis & Prevention. 151. 105950–105950. 154 indexed citations

Abdel‐Aty, Mohamed, et al.. (2020). Evaluation of Innovative Alternative Intersection Designs in the Development of Safety Performance Functions and Crash Modification Factors. 2 indexed citations

Li, Pei, Mohamed Abdel‐Aty, & Jinghui Yuan. (2020). Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data. Accident Analysis & Prevention. 150. 105924–105924. 38 indexed citations

Xing, Lu, Jie He, Mohamed Abdel‐Aty, Yina Wu, & Jinghui Yuan. (2020). Time-varying Analysis of Traffic Conflicts at the Upstream Approach of Toll Plaza. Accident Analysis & Prevention. 141. 105539–105539. 30 indexed citations

10.

Zhang, Shile, Mohamed Abdel‐Aty, Jinghui Yuan, & Pei Li. (2020). Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network. Transportation Research Record Journal of the Transportation Research Board. 2674(4). 57–65. 62 indexed citations

11.

Quddus, Mohammed, et al.. (2020). Predicting real-time traffic conflicts using deep learning. Accident Analysis & Prevention. 136. 105429–105429. 144 indexed citations

12.

Li, Yunxuan, Mohamed Abdel‐Aty, Jinghui Yuan, Zeyang Cheng, & Jian Lü. (2020). Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data. Accident Analysis & Prevention. 141. 105509–105509. 60 indexed citations

13.

Gong, Yaobang, Mohamed Abdel‐Aty, Jinghui Yuan, & Qing Cai. (2020). Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control. Accident Analysis & Prevention. 144. 105655–105655. 50 indexed citations

14.

Yue, Lishengsa, Mohamed Abdel‐Aty, Yina Wu, Ou Zheng, & Jinghui Yuan. (2020). In-depth approach for identifying crash causation patterns and its implications for pedestrian crash prevention. Journal of Safety Research. 73. 119–132. 45 indexed citations

15.

Li, Pei, Mohamed Abdel‐Aty, & Jinghui Yuan. (2019). Real-time crash risk prediction on arterials based on LSTM-CNN. Accident Analysis & Prevention. 135. 105371–105371. 275 indexed citations breakdown →

16.

Cai, Qing, Mohamed Abdel‐Aty, Yangyang Sun, Jaeyoung Lee, & Jinghui Yuan. (2019). Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data. Transportation Research Part A Policy and Practice. 127. 71–85. 60 indexed citations

17.

Yuan, Jinghui, Mohamed Abdel‐Aty, Qing Cai, & Jaeyoung Lee. (2018). Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: A driving simulator study. Transportation Research Part F Traffic Psychology and Behaviour. 62. 11–32. 65 indexed citations

18.

Gu, Xin, Mohamed Abdel‐Aty, Qiaojun Xiang, Qing Cai, & Jinghui Yuan. (2018). Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas. Accident Analysis & Prevention. 123. 159–169. 153 indexed citations

19.

Yuan, Jinghui & Mohamed Abdel‐Aty. (2018). Approach-level real-time crash risk analysis for signalized intersections. Accident Analysis & Prevention. 119. 274–289. 107 indexed citations

20.

Wang, Xuesong, Jinghui Yuan, Grant G. Schultz, & Shouen Fang. (2018). Investigating the safety impact of roadway network features of suburban arterials in Shanghai. Accident Analysis & Prevention. 113. 137–148. 46 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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