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Researcher · Simon Fraser University · Canada

Mo Chen

Mo Chen publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Robotic Path Planning Algorithms, Autonomous Vehicle Technology and Safety and Guidance and Control Systems.

ORCID 0000-0001-8506-3665 OpenAlex
World rank
#822,700
of 7,710,434 ranked researchers
Rank in Canada
#28,366
of 183,316
Works
263
Citations
5.7k
Citations per work
21.7
h-index
33
i10-index 78Top 4% in Computer Vision and Pattern Recognition
Mo Chen

What does Mo Chen research?

Mo Chen's work is mostly in Computer Science (38%), Engineering (20%).

Physical Sciences: 153 works · 58.0% of their workComputer Science: 101 works · 38.4% of their workComputer Vision and Pattern Recognition: 51 works · 19.5% of their workArtificial Intelligence: 31 works · 11.9% of their workComputer Networks and Communications: 18 works · 7.0% of their workEngineering: 52 works · 19.6% of their workAerospace Engineering: 19 works · 7.3% of their workControl and Systems Engineering: 17 works · 6.6% of their workAutomotive Engineering: 15 works · 5.7% of their workEverything else: 110 works · 42.0% of their workTHEIR WORKMo Chen263works
Physical Sciences58%

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 Science10138.4%
    2. Engineering5219.6%
  2. Everything else11042.0%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Aerospace Engineering7% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Control and Systems Engineering7% of their works
  6. 6Automotive Engineering6% of their works

Research topics

Which keywords describe Mo Chen's research?

The keywords of their largest research topics: Multi-Agent Systems, Autonomous Vehicles, Collision Avoidance, Deep Learning, Optimal Motion Planning, Sampling-Based Algorithms, Reinforcement Learning and Driver Assistance Systems.

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 21 words, with their numbers
  1. Multi-Agent Systems853 topics
  2. Autonomous Vehicles772 topics
  3. Collision Avoidance772 topics
  4. Deep Learning583 topics
  5. Optimal Motion Planning501 topic
  6. Sampling-Based Algorithms501 topic
  7. Reinforcement Learning322 topics
  8. Driver Assistance Systems271 topic
  9. Trajectory Prediction271 topic
  10. Control231 topic
  11. Missile Guidance231 topic
  12. Neural Networks191 topic
  13. Robotics191 topic
  14. Model Checking181 topic
  15. Symbolic Model Checker181 topic
  16. Consensus161 topic
  17. Cooperative Control161 topic
  18. Microscopic Simulation131 topic
  19. Traffic Flow131 topic
  20. Reversible Data Embedding121 topic
  21. Steganography121 topic

Where does Mo Chen work?

Mo Chen's main affiliation in the publication record is Simon Fraser University, Canada.

How many publications and citations does Mo Chen have?

OpenAlex counts 263 works and 5,710 citations for Mo Chen, an h-index of 33, ranking #822,700 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.

Other researchers named Mo Chen

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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