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Researcher · University of California, Berkeley · United States

Keng-hao Chang

Keng-hao Chang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Topic Modeling, Context-Aware Activity Recognition Systems and Generative Adversarial Networks and Image Synthesis.

OpenAlex
World rank
#1,624,425
of 7,710,434 ranked researchers
Rank in United States
#504,665
of 1,627,098
Works
42
Citations
881
Citations per work
21.0
h-index
13
i10-index 17Top 30% in Computer Vision and Pattern Recognition
Keng-hao Chang

What does Keng-hao Chang research?

Keng-hao Chang's work is mostly in Computer Science (52%), Biochemistry, Genetics and Molecular Biology (9%), Psychology (7%).

Physical Sciences: 22 works · 51.9% of their workComputer Science: 22 works · 51.9% of their workComputer Vision and Pattern Recognition: 10 works · 23.6% of their workArtificial Intelligence: 7 works · 16.4% of their workHuman-Computer Interaction: 3 works · 6.4% of their workInformation Systems: 2 works · 5.5% of their workEverything else: 13 works · 31.7% of their workLife Sciences: 4 works · 9.1% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 9.1% of their workMolecular Biology: 4 works · 9.1% of their workSocial Sciences: 3 works · 7.3% of their workPsychology: 3 works · 7.3% of their workExperimental and Cognitive Psychology: 3 works · 7.3% of their workTHEIR WORKKeng-hao Chang42works
Life Sciences9%Physical Sciences52%Social Sciences7%

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 Science2251.9%
  2. Everything else1331.7%
    1. Biochemistry, Genetics and Molecular Biology49.1%
    1. Psychology37.3%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Molecular Biology9% of their works
  4. 4Experimental and Cognitive Psychology7% of their works
  5. 5Human-Computer Interaction6% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe Keng-hao Chang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Activity Recognition, Machine Translation, Pervasive Computing, Word Representation, Generative Adversarial Networks and Image Synthesis.

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 18 words, with their numbers
  1. Deep Learning163 topics
  2. Neural Networks122 topics
  3. Activity Recognition71 topic
  4. Machine Translation71 topic
  5. Pervasive Computing71 topic
  6. Word Representation71 topic
  7. Generative Adversarial Networks51 topic
  8. Image Synthesis51 topic
  9. Emotion Recognition41 topic
  10. Multimodal Data41 topic
  11. Calcineurin31 topic
  12. FoxO Transcription Factors31 topic
  13. Molecular Chaperones31 topic
  14. NFAT31 topic
  15. Neural Machine Translation31 topic
  16. Protein Folding31 topic
  17. Statistical Machine Translation31 topic
  18. cell cycle regulation31 topic

Where does Keng-hao Chang work?

Keng-hao Chang's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Keng-hao Chang have?

OpenAlex counts 42 works and 881 citations for Keng-hao Chang, an h-index of 13, ranking #1,624,425 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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