Junxuan Zhao

894 total citations
29 papers, 670 citations indexed

About

Junxuan Zhao is a scholar working on Automotive Engineering, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junxuan Zhao has authored 29 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 13 papers in Environmental Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junxuan Zhao's work include Autonomous Vehicle Technology and Safety (19 papers), Remote Sensing and LiDAR Applications (12 papers) and Video Surveillance and Tracking Methods (10 papers). Junxuan Zhao is often cited by papers focused on Autonomous Vehicle Technology and Safety (19 papers), Remote Sensing and LiDAR Applications (12 papers) and Video Surveillance and Tracking Methods (10 papers). Junxuan Zhao collaborates with scholars based in United States and China. Junxuan Zhao's co-authors include Hao Xu, Jianqing Wu, Hongchao Liu, Yichen Zheng, Dayong Wu, Jianying Zheng, Yinfeng Li, Yuan Tian, Mina Sartipi and Yibin Zhang and has published in prestigious journals such as IEEE Access, Transportation Research Part C Emerging Technologies and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Junxuan Zhao

27 papers receiving 654 citations

Peers

Junxuan Zhao

CVPR

SRRQ

Yichen Zheng China

Jianying Zheng China

Rui Yue China

Keisuke Yoneda Japan

Alberto Hata Brazil

Christoph G. Keller Germany

Yihuan Zhang China

Naoki Suganuma Japan

Chunzhao Guo Japan

Yichen Zheng China

Junxuan Zhao

334 ×0.8

190 ×0.8

180 ×0.8

CVPR

133 ×1.0

138 ×1.2

SRRQ

Citations per year, relative to Junxuan Zhao Junxuan Zhao (= 1×) peers Yichen Zheng

Countries citing papers authored by Junxuan Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Junxuan Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxuan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Junxuan Zhao. A scholar is included among the top collaborators of Junxuan Zhao 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 Junxuan Zhao. Junxuan Zhao 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

Zhang, Yibin, et al.. (2025). Evaluating driving behavior and intersection safety using roadside LiDAR: A study of safety indicators across collision metrics. Journal of Transportation Safety & Security. 17(10). 1105–1137.

Zhao, Junxuan, et al.. (2023). Deep Learning-Based Framework for Traffic Estimation for the MLK Smart Corridor in Downtown Chattanooga, TN. 3 indexed citations

Zhao, Junxuan, et al.. (2023). Accurate detection of vehicle, pedestrian, cyclist and wheelchair from roadside light detection and ranging sensors. Journal of Intelligent Transportation Systems. 28(6). 904–920. 2 indexed citations

Zhao, Junxuan, et al.. (2022). SIMCal: A High-Performance Toolkit For Calibrating Traffic Simulation. 2022 IEEE International Conference on Big Data (Big Data). 2895–2902. 5 indexed citations

Zhao, Junxuan & Mina Sartipi. (2022). Automatic Identification of Anomalous Driving Events from Trajectory Data. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2. 851–856. 3 indexed citations

Zhao, Junxuan, Hao Xu, Yibin Zhang, Venky Shankar, & Hongchao Liu. (2022). Automatic Identification of Vehicle Partial Occlusion in Data Collected by Roadside LiDAR Sensors. Transportation Research Record Journal of the Transportation Research Board. 2676(5). 708–718. 5 indexed citations

Zhao, Junxuan, Hao Xu, Yibin Zhang, Yuan Tian, & Hongchao Liu. (2021). Traffic Volume Detection Using Infrastructure-Based LiDAR under Different Levels of Service Conditions. Journal of Transportation Engineering Part A Systems. 147(11). 5 indexed citations

Zhao, Junxuan, Hao Xu, Yuan Tian, & Hongchao Liu. (2020). Towards application of light detection and ranging sensor to traffic detection: an investigation of its built-in features and installation techniques. Journal of Intelligent Transportation Systems. 26(2). 213–234. 17 indexed citations

Wu, Jianqing, Hao Xu, Yuan Tian, et al.. (2020). An automatic lane identification method for the roadside light detection and ranging sensor. Journal of Intelligent Transportation Systems. 24(5). 467–479. 13 indexed citations

10.

Zhao, Junxuan, et al.. (2019). Azimuth-Height Background Filtering Method for Roadside LiDAR Data. 2421–2426. 13 indexed citations

11.

Zhao, Junxuan, Hao Xu, Hongchao Liu, et al.. (2019). Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors. Transportation Research Part C Emerging Technologies. 100. 68–87. 268 indexed citations

12.

Xu, Hao, et al.. (2019). Automatic Vehicle Tracking With Roadside LiDAR Data for the Connected-Vehicles System. IEEE Intelligent Systems. 34(3). 44–51. 88 indexed citations

13.

Wu, Jianqing, et al.. (2018). Autonomous Wildlife Crossing Detection Method with Roadside Lidar Sensors. Transportation Research Board 97th Annual MeetingTransportation Research Board. 6 indexed citations

14.

Zhao, Junxuan, Hao Xu, Dayong Wu, & Hongchao Liu. (2018). An Artificial Neural Network to Identify Pedestrians and Vehicles from Roadside 360-Degree LiDAR Data. Transportation Research Board 97th Annual MeetingTransportation Research Board. 13 indexed citations

15.

Xu, Hao, Zong Tian, Jianqing Wu, Hongchao Liu, & Junxuan Zhao. (2018). High-Resolution Micro Traffic Data From Roadside LiDAR Sensors for Connected-Vehicles and New Traffic Applications. 4 indexed citations

16.

Wu, Jianqing, Hao Xu, & Junxuan Zhao. (2018). Automatic Lane Identification Using the Roadside LiDAR Sensors. IEEE Intelligent Transportation Systems Magazine. 12(1). 25–34. 58 indexed citations

17.

Hu, Da, et al.. (2018). A hierarchical mixed logit model of individuals' return decisions after Hurricane Katrina. International Journal of Disaster Risk Reduction. 34. 443–447. 7 indexed citations

18.

Zhao, Junxuan, et al.. (2017). Evaluating the Impact of Oversize and Overweight Loads on Highways in Different Climate Zones: Texas Case Study. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations

19.

Wu, Dayong, et al.. (2017). The assessment of damage to Texas highways due to oversize and overweight loads considering climatic factors. International Journal of Pavement Engineering. 20(7). 853–865. 4 indexed citations

20.

Liu, Hongchao, Dayong Wu, Junxuan Zhao, & Sanjaya Senadheera. (2016). Web-based routing assistance tool to reduce pavement damage by overweight and oversize vehicles.. 2 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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