Lizhe Li

413 total citations
8 papers, 289 citations indexed

About

Lizhe Li is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lizhe Li has authored 8 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 4 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lizhe Li's work include Autonomous Vehicle Technology and Safety (6 papers), Traffic control and management (3 papers) and Traffic Prediction and Management Techniques (3 papers). Lizhe Li is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Traffic control and management (3 papers) and Traffic Prediction and Management Techniques (3 papers). Lizhe Li collaborates with scholars based in United States, United Kingdom and China. Lizhe Li's co-authors include Benjamin Coifman, Wen Xiao, Mohamed M. Ahmed and Ahmed Mohamed and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and Transportation Research Part B Methodological.

In The Last Decade

Lizhe Li

8 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lizhe Li United States	4	203	153	119	89	49	8	289
Samer Ammoun France	6	226 1.1×	115 0.8×	87 0.7×	81 0.9×	75 1.5×	8	326
Andreas Lawitzky Germany	7	301 1.5×	153 1.0×	76 0.6×	93 1.0×	102 2.1×	8	344
Derek Gloudemans United States	6	171 0.8×	224 1.5×	80 0.7×	38 0.4×	27 0.6×	12	285
Haotian Shi United States	10	287 1.4×	325 2.1×	142 1.2×	63 0.7×	24 0.5×	30	447
Chenxi Liu China	4	233 1.1×	59 0.4×	71 0.6×	81 0.9×	119 2.4×	6	354
Bryan Higgs United States	6	211 1.0×	196 1.3×	108 0.9×	144 1.6×	15 0.3×	23	343
Zian Ma China	12	204 1.0×	273 1.8×	133 1.1×	114 1.3×	33 0.7×	17	374
Tobias Moers Germany	5	197 1.0×	90 0.6×	67 0.6×	68 0.8×	62 1.3×	9	283
Zilin Huang United States	12	79 0.4×	91 0.6×	110 0.9×	43 0.5×	27 0.6×	23	282
Mohammad Shokrolah Shirazi United States	10	194 1.0×	104 0.7×	119 1.0×	96 1.1×	145 3.0×	26	347

Countries citing papers authored by Lizhe Li

Since Specialization

Citations

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

Fields of papers citing papers by Lizhe Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lizhe Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lizhe Li. A scholar is included among the top collaborators of Lizhe Li 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 Lizhe Li. Lizhe Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Mohamed, Ahmed, Lizhe Li, & Mohamed M. Ahmed. (2024). Vehicle-to-Vehicle Conflicts Detection at Signalized Intersections: Leveraging Multi-Cameras Utilizing Convolutional Neural Network-Based Pose Estimation Algorithm. 176. 479–489. 1 indexed citations

2.

Li, Lizhe, et al.. (2024). Automated Traffic Safety Assessment Tool Utilizing Monocular 3D Convolutional Neural Network Based Detection Algorithm at Signalized Intersections. 456–467. 1 indexed citations

3.

Coifman, Benjamin & Lizhe Li. (2023). Partial trajectory method to align and validate successive video cameras for vehicle tracking. Transportation Research Part C Emerging Technologies. 158. 104416–104416. 3 indexed citations

4.

Coifman, Benjamin & Lizhe Li. (2022). A New Method for Validating and Generating Vehicle Trajectories From Stationary Video Cameras. IEEE Transactions on Intelligent Transportation Systems. 23(9). 16227–16236. 13 indexed citations

5.

Coifman, Benjamin & Lizhe Li. (2019). A Critical Evaluation of the Next Generation Simulation (NGSIM) Vehicle Trajectory Dataset - Abridged. Transportation Research Board 98th Annual MeetingTransportation Research Board. 1 indexed citations

6.

Coifman, Benjamin, Lizhe Li, & Wen Xiao. (2018). Resurrecting the Lost Vehicle Trajectories of Treiterer and Myers with New Insights into a Controversial Hysteresis. Transportation Research Record Journal of the Transportation Research Board. 2672(20). 25–38. 5 indexed citations

7.

Coifman, Benjamin & Lizhe Li. (2017). A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset. Transportation Research Part B Methodological. 105. 362–377. 264 indexed citations

8.

Li, Lizhe. (2014). Research on Compressed Air Prediction Model Based on BP Neural Network. Computer Technology and Development. 1 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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