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Researcher · Hunan University · China

Yang Mo

Yang Mo publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Robotic Path Planning Algorithms, Natural Language Processing Techniques and Reinforcement Learning in Robotics.

ORCID 0000-0001-6734-8691 OpenAlex
World rank
#3,325,913
of 7,710,434 ranked researchers
Rank in China
#522,555
of 978,568
Works
45
Citations
397
Citations per work
8.8
h-index
10
i10-index 12Top 42% in Artificial Intelligence
Yang Mo

What does Yang Mo research?

Yang Mo's work is mostly in Computer Science (53%), Engineering (12%), Physics and Astronomy (6%).

Physical Sciences: 32 works · 71.4% of their workComputer Science: 24 works · 53.2% of their workArtificial Intelligence: 13 works · 28.6% of their workComputer Vision and Pattern Recognition: 9 works · 20.6% of their workHuman-Computer Interaction: 2 works · 4.0% of their workEngineering: 5 works · 11.9% of their workControl and Systems Engineering: 3 works · 7.1% of their workAerospace Engineering: 2 works · 4.8% of their workPhysics and Astronomy: 3 works · 6.3% of their workAstronomy and Astrophysics: 3 works · 6.3% of their workEverything else: 13 works · 28.6% of their workTHEIR WORKYang Mo45works
Physical Sciences71%

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 Science2453.2%
    2. Engineering511.9%
    3. Physics and Astronomy36.3%
  2. Everything else1328.6%
  1. 1Artificial Intelligence29% of their works
  2. 2Computer Vision and Pattern Recognition21% of their works
  3. 3Control and Systems Engineering7% of their works
  4. 4Astronomy and Astrophysics6% of their works
  5. 5Aerospace Engineering5% of their works
  6. 6Human-Computer Interaction4% of their works

Research topics

Which keywords describe Yang Mo's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Multi-Agent Systems, Optimal Motion Planning, Sampling-Based Algorithms, Neural Machine Translation, Reinforcement Learning and Robotics.

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 19 words, with their numbers
  1. Deep Learning195 topics
  2. Neural Networks174 topics
  3. Multi-Agent Systems132 topics
  4. Optimal Motion Planning71 topic
  5. Sampling-Based Algorithms71 topic
  6. Neural Machine Translation61 topic
  7. Reinforcement Learning61 topic
  8. Robotics61 topic
  9. Statistical Machine Translation61 topic
  10. Gesture Recognition41 topic
  11. Human-Computer Interaction41 topic
  12. Machine Translation41 topic
  13. Word Representation41 topic
  14. Fabric Defect Detection31 topic
  15. Image Captioning31 topic
  16. Machine Vision31 topic
  17. Modulation Classification31 topic
  18. Visual Question Answering31 topic
  19. Wireless Communications31 topic

Where does Yang Mo work?

Yang Mo's main affiliation in the publication record is Hunan University, China.

How many publications and citations does Yang Mo have?

OpenAlex counts 45 works and 397 citations for Yang Mo, an h-index of 10, ranking #3,325,913 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 Yang Mo

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