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Researcher · The University of Adelaide · Australia

Tong He

Tong He publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques and 3D Shape Modeling and Analysis.

ORCID 0000-0002-2388-8618 OpenAlex
World rank
#319,722
of 7,710,434 ranked researchers
Rank in Australia
#11,252
of 140,210
Works
147
Citations
20k
Citations per work
133.6
h-index
37
i10-index 71Top 2.9% in Computer Vision and Pattern Recognition
Tong He

What does Tong He research?

Tong He's work is mostly in Computer Science (61%), Engineering (7%), Earth and Planetary Sciences (3%).

Physical Sciences: 105 works · 71.1% of their workComputer Science: 90 works · 61.3% of their workComputer Vision and Pattern Recognition: 56 works · 38.4% of their workArtificial Intelligence: 25 works · 16.9% of their workInformation Systems: 5 works · 3.1% of their workComputational Theory and Mathematics: 4 works · 2.9% of their workEngineering: 10 works · 6.7% of their workComputational Mechanics: 10 works · 6.7% of their workEarth and Planetary Sciences: 5 works · 3.1% of their workGeology: 5 works · 3.1% of their workEverything else: 42 works · 28.9% of their workTHEIR WORKTong He147works
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 Science9061.3%
    2. Engineering106.7%
    3. Earth and Planetary Sciences53.1%
  2. Everything else4228.9%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Computational Mechanics7% of their works
  4. 4Information Systems3% of their works
  5. 5Geology3% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Tong He's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Unsupervised Learning, Neural Networks, Convolutional Networks, Image Recognition, Object Detection and Feature Matching.

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. Deep Learning1095 topics
  2. Convolutional Neural Networks482 topics
  3. Unsupervised Learning362 topics
  4. Neural Networks332 topics
  5. Convolutional Networks322 topics
  6. Image Recognition301 topic
  7. Object Detection301 topic
  8. Feature Matching261 topic
  9. Local Descriptors261 topic
  10. 3D Reconstruction241 topic
  11. Point Clouds241 topic
  12. Depth Estimation181 topic
  13. Domain Adaptation181 topic
  14. Handwriting Recognition181 topic
  15. Stereo Vision181 topic
  16. Text Detection181 topic
  17. Transfer Learning181 topic
  18. Image Captioning151 topic
  19. Visual Question Answering151 topic
  20. Action Recognition141 topic
  21. Pose Estimation141 topic

Where does Tong He work?

Tong He's main affiliation in the publication record is The University of Adelaide, Australia.

How many publications and citations does Tong He have?

OpenAlex counts 147 works and 19,643 citations for Tong He, an h-index of 37, ranking #319,722 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 Tong He

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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