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Researcher · Shanghai Artificial Intelligence Laboratory · ??

Licheng Wen

Licheng Wen publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering, on topics such as Multimodal Machine Learning Applications, Autonomous Vehicle Technology and Safety and Topic Modeling.

ORCID 0000-0003-2707-3165 OpenAlex
World rank
#2,181,058
of 7,710,434 ranked researchers
Rank in ??
#3,326
of 21,892
Works
76
Citations
594
Citations per work
7.8
h-index
12
i10-index 14Top 32% in Artificial Intelligence
Licheng Wen

What does Licheng Wen research?

Licheng Wen's work is mostly in Computer Science (44%), Engineering (16%), Medicine (4%).

Physical Sciences: 46 works · 60.5% of their workComputer Science: 34 works · 44.1% of their workArtificial Intelligence: 18 works · 23.9% of their workComputer Vision and Pattern Recognition: 15 works · 20.2% of their workEngineering: 12 works · 16.4% of their workAutomotive Engineering: 8 works · 10.3% of their workControl and Systems Engineering: 5 works · 6.1% of their workEverything else: 25 works · 33.0% of their workHealth Sciences: 3 works · 4.2% of their workMedicine: 3 works · 4.2% of their workSurgery: 3 works · 4.2% of their workSocial Sciences: 2 works · 2.3% of their workDecision Sciences: 2 works · 2.3% of their workManagement Science and Operations Research: 2 works · 2.3% of their workTHEIR WORKLicheng Wen76works
Physical Sciences60%Health Sciences4%Social Sciences2%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science3444.1%
    2. Engineering1216.4%
  2. Everything else2533.0%
    1. Medicine34.2%
    1. Decision Sciences22.3%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Automotive Engineering10% of their works
  4. 4Control and Systems Engineering6% of their works
  5. 5Surgery4% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Licheng Wen's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Autonomous Vehicles, Collision Avoidance, Multi-Agent Systems, Reinforcement Learning, Image Captioning and Visual Question Answering.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning393 topics
  2. Neural Networks353 topics
  3. Autonomous Vehicles242 topics
  4. Collision Avoidance242 topics
  5. Multi-Agent Systems172 topics
  6. Reinforcement Learning172 topics
  7. Image Captioning161 topic
  8. Visual Question Answering161 topic
  9. Driver Assistance Systems151 topic
  10. Trajectory Prediction151 topic
  11. Machine Translation111 topic
  12. Word Representation111 topic
  13. Microscopic Simulation91 topic
  14. Optimal Motion Planning91 topic
  15. Sampling-Based Algorithms91 topic
  16. Traffic Flow91 topic
  17. Autonomous Control81 topic
  18. Robotics81 topic
  19. Neural Machine Translation61 topic
  20. Statistical Machine Translation61 topic
  21. Domain Adaptation51 topic
  22. Transfer Learning51 topic

Where does Licheng Wen work?

Licheng Wen's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.

How many publications and citations does Licheng Wen have?

OpenAlex counts 76 works and 594 citations for Licheng Wen, an h-index of 12, ranking #2,181,058 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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