Zirui Li

2.0k total citations · 1 hit paper
104 papers, 1.1k citations indexed

About

Zirui Li is a scholar working on Automotive Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Zirui Li has authored 104 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Automotive Engineering, 27 papers in Control and Systems Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Zirui Li's work include Autonomous Vehicle Technology and Safety (38 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (12 papers). Zirui Li is often cited by papers focused on Autonomous Vehicle Technology and Safety (38 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (12 papers). Zirui Li collaborates with scholars based in China, Netherlands and Germany. Zirui Li's co-authors include Jianwei Gong, Chao Lu, Xueyuan Li, Shihua Yuan, Cheng Gong, Yang Xing, Jiaqi Gu, Yongshan Ding, Song Han and Xiaer Xiahou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Zirui Li

93 papers receiving 1.1k 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.

Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images

2024 50 citations Zirui Li et al. profile →

Peers

Zirui Li

AE

AI

CSE

CVPR

BC

Jian Zhao China

Oliver Pink Germany

Seung‐Woo Seo South Korea

Hao Xiang United States

Liting Sun United States

Bogdan Trăsnea Romania

Gustavo Velasco-Hernandez Ireland

Jie Hu China

Nan Li United States

Tao Peng China

Jian Zhao China

Zirui Li

808 ×1.7

AE

104 ×0.4

AI

438 ×1.6

CSE

175 ×0.7

CVPR

149 ×0.9

BC

Citations per year, relative to Zirui Li Zirui Li (= 1×) peers Jian Zhao

Countries citing papers authored by Zirui Li

Since Specialization

Citations

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

Fields of papers citing papers by Zirui Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zirui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zirui Li. A scholar is included among the top collaborators of Zirui 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 Zirui Li. Zirui 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:

20 of 20 papers shown

1.

Wang, Yuchun, et al.. (2025). Cross-Scenario End-to-End Motion Planning in Off-Road Environment: A Lifelong Learning Perspective. IEEE Robotics and Automation Letters. 10(3). 2223–2230. 2 indexed citations

2.

Du, Guodong, et al.. (2025). Hierarchical Path Planning and Motion Control Framework Using Adaptive Scale Based Bidirectional Search and Heuristic Learning Based Predictive Control. IEEE Transactions on Vehicular Technology. 74(6). 8647–8663. 1 indexed citations

3.

Li, Zirui, et al.. (2025). Human-centric human-robot collaboration in on-site construction (2014–2024): Advances, barriers, and future directions. Automation in Construction. 180. 106566–106566.

4.

Yu, Yantao, et al.. (2025). A vision-based approach to assessing worker ergonomics in low-light construction environments. Advanced Engineering Informatics. 66. 103463–103463. 1 indexed citations

5.

Jiang, Xi, et al.. (2025). A naturalistic trajectory dataset with dense interaction for autonomous driving. Scientific Data. 12(1). 1084–1084. 1 indexed citations

6.

Li, Zirui, et al.. (2024). Data-driven ergonomic assessment of construction workers. Automation in Construction. 165. 105561–105561. 9 indexed citations

7.

Xu, Jingyi, et al.. (2024). A transferable perception-guided EMS for series hybrid electric unmanned tracked vehicles. Energy. 306. 132367–132367. 3 indexed citations

8.

Li, Zirui, et al.. (2024). One‐bit DOA estimation in non‐uniform noise with alternating minimization method. Electronics Letters. 60(10).

9.

Du, Guodong, et al.. (2024). Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework. IEEE Internet of Things Journal. 11(23). 38273–38290. 3 indexed citations

10.

Li, Xueyuan, et al.. (2024). Learning-Based Hierarchical Decision-Making Framework for Automatic Driving in Incompletely Connected Traffic Scenarios. Sensors. 24(8). 2592–2592. 1 indexed citations

11.

Li, Zirui, et al.. (2024). Morphological characterization of concave particle based on convex decomposition. Measurement Science and Technology. 35(11). 115602–115602.

12.

Li, Zirui, et al.. (2023). Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2355–2372. 9 indexed citations

13.

Li, Zirui, Cheng Gong, Xinwei Wang, et al.. (2023). Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges. SHILAP Revista de lepidopterología. 2(4). 100103–100103. 28 indexed citations

14.

Wang, Xinwei, Zirui Li, Javier Alonso–Mora, & Meng Wang. (2023). Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving. Engineering. 33. 90–107. 5 indexed citations

15.

Du, Guodong, et al.. (2023). Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8304–8323. 22 indexed citations

16.

Gao, Xin, et al.. (2022). Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning. Sensors. 22(12). 4586–4586. 12 indexed citations

17.

Xu, Jingyi, et al.. (2022). A transferable energy management strategy for hybrid electric vehicles via dueling deep deterministic policy gradient. Green Energy and Intelligent Transportation. 1(2). 100018–100018. 34 indexed citations

18.

Chen, Zuoyi, et al.. (2022). Deep residual shrinkage relation network for anomaly detection of rotating machines. Journal of Manufacturing Systems. 65. 579–590. 27 indexed citations

19.

Li, Zirui, et al.. (2022). Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2842–2847. 1 indexed citations

20.

Yuan, Shihua, et al.. (2020). A Survey on Sensor Technologies for Unmanned Ground Vehicles. 638–645. 11 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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