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Researcher · Kuaishou (China) · ??

Kun Gai

Kun Gai publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Advanced Bandit Algorithms Research and Topic Modeling.

ORCID 0000-0002-3636-3618 OpenAlex
World rank
#49,564
of 7,710,434 ranked researchers
Rank in ??
#44
of 21,892
Works
211
Citations
6.8k
Citations per work
32.0
h-index
32
i10-index 56Top 4% in Artificial Intelligence
Kun Gai

What does Kun Gai research?

Kun Gai's work is mostly in Computer Science (74%), Decision Sciences (7%).

Physical Sciences: 157 works · 74.5% of their workComputer Science: 157 works · 74.5% of their workArtificial Intelligence: 53 works · 25.3% of their workInformation Systems: 46 works · 21.7% of their workComputer Vision and Pattern Recognition: 45 works · 21.5% of their workComputer Networks and Communications: 8 works · 3.6% of their workSignal Processing: 5 works · 2.4% of their workEverything else: 39 works · 18.3% of their workSocial Sciences: 15 works · 7.2% of their workDecision Sciences: 15 works · 7.2% of their workManagement Science and Operations Research: 15 works · 7.2% of their workTHEIR WORKKun Gai211works
Physical Sciences74%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 Science15774.5%
  2. Everything else3918.3%
    1. Decision Sciences157.2%
  1. 1Artificial Intelligence25% of their works
  2. 2Information Systems22% of their works
  3. 3Computer Vision and Pattern Recognition22% of their works
  4. 4Management Science and Operations Research7% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Kun Gai's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Collaborative Filtering, Matrix Factorization, Bandit Optimization, Bayesian Optimization, Representation Learning and Machine Translation.

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 Learning1655 topics
  2. Neural Networks1614 topics
  3. Collaborative Filtering1031 topic
  4. Matrix Factorization1031 topic
  5. Bandit Optimization331 topic
  6. Bayesian Optimization331 topic
  7. Representation Learning332 topics
  8. Machine Translation291 topic
  9. Word Representation291 topic
  10. Graph Neural Networks191 topic
  11. Knowledge Graph Embedding191 topic
  12. Image Captioning151 topic
  13. Visual Question Answering151 topic
  14. Generative Adversarial Networks141 topic
  15. Image Quality Assessment141 topic
  16. Image Synthesis141 topic
  17. Perceptual Quality141 topic
  18. Content-Based Image Retrieval131 topic
  19. Shape Matching131 topic

Where does Kun Gai work?

Kun Gai's main affiliation in the publication record is Kuaishou (China), ??.

How many publications and citations does Kun Gai have?

OpenAlex counts 211 works and 6,754 citations for Kun Gai, an h-index of 32, ranking #49,564 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.

Other researchers named Kun Gai

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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