Licheng Wen

664 total citations · 1 hit paper
19 papers, 226 citations indexed

About

Licheng Wen is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Licheng Wen has authored 19 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Licheng Wen's work include Autonomous Vehicle Technology and Safety (4 papers), Robotic Path Planning Algorithms (4 papers) and Traffic control and management (4 papers). Licheng Wen is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Robotic Path Planning Algorithms (4 papers) and Traffic control and management (4 papers). Licheng Wen collaborates with scholars based in China, Germany and Canada. Licheng Wen's co-authors include Pinlong Cai, Daocheng Fu, Hongliang Li, Yong Liu, Yu Qiao, Botian Shi, Min Dou, Xin Li, Zhichao Meng and Xin Yang and has published in prestigious journals such as Information Sciences, Accident Analysis & Prevention and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Licheng Wen

15 papers receiving 218 citations

Hit Papers

Drive Like a Human: Rethinking Autonomous Driving with La... 2024 2026 2025 2024 25 50 75
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.

  1. Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
    2024 82 citations Daocheng Fu, Xin Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Licheng Wen China 8 74 62 48 42 29 19 226
Adam Ziębiński Poland 9 40 0.5× 66 1.1× 32 0.7× 48 1.1× 11 0.4× 26 308
Mengran Zhu United States 10 23 0.3× 32 0.5× 64 1.3× 15 0.4× 4 0.1× 16 286
Keyvan Ansari Australia 9 18 0.2× 43 0.7× 44 0.9× 42 1.0× 2 0.1× 17 275
Can Cui United States 6 35 0.5× 27 0.4× 42 0.9× 7 0.2× 14 0.5× 19 136
Xihai Zhang China 10 24 0.3× 4 0.1× 38 0.8× 47 1.1× 21 0.7× 32 344
Zikai Zhang China 20 12 0.2× 10 0.2× 67 1.4× 54 1.3× 5 0.2× 79 1.1k
Qifan Yang China 10 45 0.6× 17 0.3× 12 0.3× 27 0.6× 6 0.2× 34 305
Rong Jiang China 10 73 1.0× 26 0.4× 52 1.1× 69 1.6× 43 346

Countries citing papers authored by Licheng Wen

Since Specialization
Citations

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

Fields of papers citing papers by Licheng Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Licheng Wen

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

All Works

19 of 19 papers shown
1.
Zhong, Ning, et al.. (2025). LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–15.
2.
3.
Fu, Daocheng, Licheng Wen, Pinlong Cai, et al.. (2024). LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving. 1084–1090. 16 indexed citations
4.
Yang, Xuemeng, Licheng Wen, Weihua Xu, et al.. (2024). LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction Using LiDAR and Camera. IEEE Robotics and Automation Letters. 10(1). 852–859.
5.
Yang, Yifan, et al.. (2024). Hierarchical Search-Based Cooperative Motion Planning. 8055–8062.
6.
Cui, Zhiyong, Aoyong Li, Yilong Ren, et al.. (2024). KoMA: Knowledge-Driven Multi-Agent Framework for Autonomous Driving With Large Language Models. IEEE Transactions on Intelligent Vehicles. 10(10). 4655–4668. 8 indexed citations
7.
Fu, Daocheng, Xin Li, Licheng Wen, et al.. (2024). Drive Like a Human: Rethinking Autonomous Driving with Large Language Models. 910–919. 82 indexed citations breakdown →
8.
Cai, Pinlong, Xinyu Cai, Min Dou, et al.. (2024). Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. 123261–123290. 1 indexed citations
9.
Wen, Licheng, Pinlong Cai, Daocheng Fu, et al.. (2023). How drivers perform under different scenarios: Ability-related driving style extraction for large-scale dataset. Accident Analysis & Prevention. 196. 107445–107445. 8 indexed citations
10.
Wen, Licheng, Daocheng Fu, Pinlong Cai, et al.. (2023). LimSim: A Long-Term Interactive Multi-Scenario Traffic Simulator. 1255–1262. 7 indexed citations
11.
Fu, Daocheng, et al.. (2023). Incremental path planning: Reservation system in V2X environment. Physica A Statistical Mechanics and its Applications. 623. 128914–128914. 7 indexed citations
12.
Wen, Licheng, et al.. (2023). Human-Like Decision Making at Unsignalized Intersections Using Social Value Orientation. IEEE Intelligent Transportation Systems Magazine. 16(2). 55–69. 4 indexed citations
13.
Wen, Licheng, et al.. (2023). Decomposing shared networks for separate cooperation with multi-agent reinforcement learning. Information Sciences. 641. 119085–119085. 2 indexed citations
14.
Wen, Licheng, Yong Liu, & Hongliang Li. (2021). CL-MAPF: Multi-Agent Path Finding for Car-Like robots with kinematic and spatiotemporal constraints. Robotics and Autonomous Systems. 150. 103997–103997. 48 indexed citations
15.
Wen, Licheng, et al.. (2021). Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4777–4784. 3 indexed citations
16.
Yang, Xin, Zhuoyang Li, Yongping Cao, et al.. (2019). Efficacy of magnetic resonance imaging with an SPGR sequence for the early evaluation of knee cartilage degeneration and the relationship between cartilage and other tissues. Journal of Orthopaedic Surgery and Research. 14(1). 152–152. 8 indexed citations
17.
Yang, Xin, Licheng Wen, Yongping Cao, et al.. (2015). Intraarticular Injection of Allogenic Mesenchymal Stem Cells has a Protective Role for the Osteoarthritis. Chinese Medical Journal. 128(18). 2516–2523. 30 indexed citations
18.
Liu, Heng, et al.. (2012). [Dermal hypoesthesia after total knee arthroplasty].. PubMed. 44(6). 882–6. 1 indexed citations
19.
Wen, Licheng, et al.. (2009). [Polyethylene wear and osteolysis in H/G cementless total hip arthroplasty].. PubMed. 47(24). 1888–91. 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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