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Researcher · Autodesk (United States) · United States

Kai-Hung Chang

Kai-Hung Chang publishes mostly in Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering, on topics such as Robot Manipulation and Learning, 3D Shape Modeling and Analysis and Generative Adversarial Networks and Image Synthesis.

OpenAlex
World rank
#1,381,801
of 7,710,434 ranked researchers
Rank in United States
#436,940
of 1,627,098
Works
17
Citations
772
Citations per work
45.4
h-index
12
i10-index 12Top 34% in Computer Vision and Pattern Recognition
Kai-Hung Chang

What does Kai-Hung Chang research?

Kai-Hung Chang's work is mostly in Engineering (39%), Computer Science (28%).

Physical Sciences: 11 works · 66.7% of their workEngineering: 7 works · 39.2% of their workControl and Systems Engineering: 2 works · 11.8% of their workBiomedical Engineering: 2 works · 9.8% of their workComputational Mechanics: 2 works · 9.8% of their workCivil and Structural Engineering: 1 works · 7.8% of their workComputer Science: 5 works · 27.5% of their workComputer Vision and Pattern Recognition: 4 works · 21.6% of their workHuman-Computer Interaction: 1 works · 5.9% of their workEverything else: 6 works · 33.3% of their workTHEIR WORKKai-Hung Chang17works
Physical Sciences67%

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. Engineering739.2%
    2. Computer Science527.5%
  2. Everything else633.3%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Control and Systems Engineering12% of their works
  3. 3Biomedical Engineering10% of their works
  4. 4Computational Mechanics10% of their works
  5. 5Civil and Structural Engineering8% of their works
  6. 6Human-Computer Interaction6% of their works

Research topics

Which keywords describe Kai-Hung Chang's research?

The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Grasping, Neural Networks, Robot Learning, Unsupervised Learning and Mesh Segmentation.

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 21 words, with their numbers
  1. Deep Learning123 topics
  2. 3D Reconstruction72 topics
  3. Point Clouds72 topics
  4. Grasping51 topic
  5. Neural Networks52 topics
  6. Robot Learning51 topic
  7. Unsupervised Learning52 topics
  8. Mesh Segmentation41 topic
  9. Shape Representation41 topic
  10. Bioinspired Robotics31 topic
  11. Generative Adversarial Networks31 topic
  12. Image Synthesis31 topic
  13. Photogrammetry31 topic
  14. Soft Robotics31 topic
  15. UAV31 topic
  16. Computer Graphics21 topic
  17. Depth Estimation21 topic
  18. Handwriting Recognition21 topic
  19. Stereo Vision21 topic
  20. Text Detection21 topic
  21. Visualization21 topic

Where does Kai-Hung Chang work?

Kai-Hung Chang's main affiliation in the publication record is Autodesk (United States), United States.

How many publications and citations does Kai-Hung Chang have?

OpenAlex counts 17 works and 772 citations for Kai-Hung Chang, an h-index of 12, ranking #1,381,801 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.

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