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Researcher · Microsoft (United States) · United States

Zhe Gan

Zhe Gan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Multimodal Machine Learning Applications, Topic Modeling and Domain Adaptation and Few-Shot Learning.

OpenAlex
World rank
#11,676
of 7,710,434 ranked researchers
Rank in United States
#4,034
of 1,627,098
Works
251
Citations
17k
Citations per work
65.9
h-index
58
i10-index 155Top 0.6% in Artificial Intelligence
Zhe Gan

What does Zhe Gan research?

Zhe Gan's work is mostly in Computer Science (89%), Biochemistry, Genetics and Molecular Biology (2%), Arts and Humanities (1%).

Physical Sciences: 224 works · 89.4% of their workComputer Science: 224 works · 89.4% of their workArtificial Intelligence: 114 works · 45.5% of their workComputer Vision and Pattern Recognition: 105 works · 42.0% of their workSignal Processing: 5 works · 1.9% of their workEverything else: 19 works · 7.7% of their workLife Sciences: 5 works · 2.1% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 2.1% of their workMolecular Biology: 3 works · 1.3% of their workCancer Research: 2 works · 0.8% of their workSocial Sciences: 2 works · 0.8% of their workArts and Humanities: 2 works · 0.8% of their workLanguage and Linguistics: 2 works · 0.8% of their workTHEIR WORKZhe Gan251works
Life Sciences2%Physical Sciences89%Social Sciences1%

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 Science22489.4%
  2. Everything else197.7%
    1. Biochemistry, Genetics and Molecular Biology52.1%
    1. Arts and Humanities20.8%
  1. 1Artificial Intelligence46% of their works
  2. 2Computer Vision and Pattern Recognition42% of their works
  3. 3Signal Processing2% of their works
  4. 4Molecular Biology1% of their works
  5. 5Cancer Research1% of their works
  6. 6Language and Linguistics1% of their works

Research topics

Which keywords describe Zhe Gan's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Image Captioning, Visual Question Answering, Representation Learning, Unsupervised Learning, Machine Translation and Word Representation.

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 20 words, with their numbers
  1. Neural Networks2603 topics
  2. Deep Learning2454 topics
  3. Image Captioning1361 topic
  4. Visual Question Answering1361 topic
  5. Representation Learning1152 topics
  6. Unsupervised Learning1152 topics
  7. Machine Translation911 topic
  8. Word Representation911 topic
  9. Domain Adaptation821 topic
  10. Transfer Learning821 topic
  11. Neural Machine Translation741 topic
  12. Statistical Machine Translation741 topic
  13. Feature Matching451 topic
  14. Local Descriptors451 topic
  15. Generative Adversarial Networks331 topic
  16. Image Synthesis331 topic
  17. Action Recognition311 topic
  18. Pose Estimation311 topic
  19. Content-Based Retrieval151 topic
  20. Video Summarization151 topic

Where does Zhe Gan work?

Zhe Gan's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Zhe Gan have?

OpenAlex counts 251 works and 16,539 citations for Zhe Gan, an h-index of 58, ranking #11,676 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.

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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