Licheng Wen

664 citations
19 papers · 226 indexed · 1 hit paper · h-index 8
Topics
Autonomous Vehicle Technology and Safety (4 papers)Robotic Path Planning Algorithms (4 papers)Traffic control and management (4 papers)
Partner nations
ChinaGermanyCanada

In The Last Decade

Licheng Wen

15 papers receiving 218 citations

Hit Papers

Drive Like a Human: Rethinking Autonomous Driving with La...2024202620252024255075

Peers

Licheng Wen
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 74
  • Automotive Engineering 62
  • Artificial Intelligence 48
  • Control and Systems Engineering 42
  • Rheumatology 29
Replace Mengran Zhu with:
Mengran Zhu United States
Josef Nilsson Sweden
Changdong Wang China
Jifeng Huang China
Keyvan Ansari Australia
Xihai Zhang China
Yubin Wang China
Adam Ziębiński Poland
Sushant Veer United States
Licheng Wen relative to Mengran Zhu United States Mengran Zhu's profile →
Citations per field
00.5×7.3×
Mengran Zhu · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 16
4 0
5 0
6 8
7
Drive Like a Human: Rethinking Autonomous Driving with Large Language Modelsbreakdown →
82
8 1
9 8
10 7
11 7
12 4
13 2
14 48
15 3
16 8
17 30
18
[Dermal hypoesthesia after total knee arthroplasty].
1
19
[Polyethylene wear and osteolysis in H/G cementless total hip arthroplasty].
1

About Licheng Wen

Licheng Wen is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 19 papers that have together received 226 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Robotic Path Planning Algorithms (4 papers) and Traffic control and management (4 papers). The work is most often cited by research in Automotive Engineering (62 citations), Computer Vision and Pattern Recognition (74 citations) and Urology (14 citations). Licheng Wen has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Pinlong Cai, Daocheng Fu, Hongliang Li, Yong Liu, Yu Qiao, Botian Shi, Min Dou, Xin Li, Zhichao Meng and Xin Yang. Their work appears in journals such as Information Sciences, Accident Analysis & Prevention and IEEE Transactions on Neural Networks and Learning Systems.

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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