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Researcher · Massachusetts Institute of Technology · United States

Tianmin Shu

Tianmin Shu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology, on topics such as Multimodal Machine Learning Applications, Reinforcement Learning in Robotics and Human Pose and Action Recognition.

OpenAlex
World rank
#1,547,685
of 7,710,434 ranked researchers
Rank in United States
#483,364
of 1,627,098
Works
91
Citations
1.3k
Citations per work
14.5
h-index
17
i10-index 23Top 18% in Artificial Intelligence
Tianmin Shu

What does Tianmin Shu research?

Tianmin Shu's work is mostly in Computer Science (64%), Psychology (10%), Engineering (7%).

Physical Sciences: 65 works · 71.1% of their workComputer Science: 59 works · 64.5% of their workArtificial Intelligence: 33 works · 36.0% of their workComputer Vision and Pattern Recognition: 26 works · 28.5% of their workEngineering: 6 works · 6.6% of their workControl and Systems Engineering: 6 works · 6.6% of their workEverything else: 15 works · 16.1% of their workSocial Sciences: 9 works · 9.9% of their workPsychology: 9 works · 9.9% of their workSocial Psychology: 7 works · 7.4% of their workDevelopmental and Educational Psychology: 2 works · 2.5% of their workLife Sciences: 3 works · 2.9% of their workNeuroscience: 3 works · 2.9% of their workCognitive Neuroscience: 3 works · 2.9% of their workTHEIR WORKTianmin Shu91works
Life Sciences3%Physical Sciences71%Social Sciences10%

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 Science5964.5%
    2. Engineering66.6%
  2. Everything else1516.1%
    1. Psychology99.9%
    1. Neuroscience32.9%
  1. 1Artificial Intelligence36% of their works
  2. 2Computer Vision and Pattern Recognition28% of their works
  3. 3Social Psychology7% of their works
  4. 4Control and Systems Engineering7% of their works
  5. 5Cognitive Neuroscience3% of their works
  6. 6Developmental and Educational Psychology2% of their works

Research topics

Which keywords describe Tianmin Shu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Multi-Agent Systems, Image Captioning, Visual Question Answering, Reinforcement Learning, Robotics and Action Recognition.

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.

All 19 words, with their numbers
  1. Deep Learning815 topics
  2. Neural Networks644 topics
  3. Multi-Agent Systems272 topics
  4. Image Captioning231 topic
  5. Visual Question Answering231 topic
  6. Reinforcement Learning201 topic
  7. Robotics201 topic
  8. Action Recognition181 topic
  9. Pose Estimation181 topic
  10. Anomaly Detection121 topic
  11. Unsupervised121 topic
  12. Human-Robot Interaction101 topic
  13. Socially Assistive Robotics101 topic
  14. Machine Translation91 topic
  15. Word Representation91 topic
  16. Object Tracking81 topic
  17. Visual Tracking81 topic
  18. Agent-Based Modeling71 topic
  19. Argumentation Frameworks71 topic

Where does Tianmin Shu work?

Tianmin Shu's main affiliation in the publication record is Massachusetts Institute of Technology, United States.

How many publications and citations does Tianmin Shu have?

OpenAlex counts 91 works and 1,320 citations for Tianmin Shu, an h-index of 17, ranking #1,547,685 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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