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Researcher · University of Science and Technology of China · China

Xiangnan He

Xiangnan He publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Advanced Graph Neural Networks and Topic Modeling.

ORCID 0000-0001-8472-7992 OpenAlex
World rank
#704
of 7,710,434 ranked researchers
Rank in China
#33
of 978,568
Works
478
Citations
47k
Citations per work
97.5
h-index
94
i10-index 271Top 0.1% in Artificial Intelligence
Xiangnan He

What does Xiangnan He research?

Xiangnan He's work is mostly in Computer Science (74%), Decision Sciences (5%), Physics and Astronomy (3%).

Physical Sciences: 368 works · 77.0% of their workComputer Science: 355 works · 74.3% of their workArtificial Intelligence: 182 works · 38.0% of their workInformation Systems: 94 works · 19.6% of their workComputer Vision and Pattern Recognition: 70 works · 14.6% of their workComputer Networks and Communications: 10 works · 2.1% of their workPhysics and Astronomy: 13 works · 2.7% of their workStatistical and Nonlinear Physics: 13 works · 2.7% of their workEverything else: 84 works · 17.6% of their workSocial Sciences: 26 works · 5.4% of their workDecision Sciences: 26 works · 5.4% of their workManagement Science and Operations Research: 26 works · 5.4% of their workTHEIR WORKXiangnan He478works
Physical Sciences77%Social Sciences5%

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 Science35574.3%
    2. Physics and Astronomy132.7%
  2. Everything else8417.6%
    1. Decision Sciences265.4%
  1. 1Artificial Intelligence38% of their works
  2. 2Information Systems20% of their works
  3. 3Computer Vision and Pattern Recognition15% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Statistical and Nonlinear Physics3% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Xiangnan He's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Collaborative Filtering, Matrix Factorization, Representation Learning, Semi-Supervised Learning, Graph Neural Networks and Knowledge Graph Embedding.

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 20 words, with their numbers
  1. Deep Learning4463 topics
  2. Neural Networks4283 topics
  3. Collaborative Filtering2491 topic
  4. Matrix Factorization2491 topic
  5. Representation Learning1852 topics
  6. Semi-Supervised Learning1852 topics
  7. Graph Neural Networks1561 topic
  8. Knowledge Graph Embedding1561 topic
  9. Machine Translation1381 topic
  10. Word Representation1381 topic
  11. Bandit Optimization541 topic
  12. Bayesian Optimization541 topic
  13. Image Captioning411 topic
  14. Visual Question Answering411 topic
  15. Content-Based Image Retrieval381 topic
  16. Shape Matching381 topic
  17. Community Structure301 topic
  18. Network Dynamics301 topic
  19. Domain Adaptation291 topic
  20. Transfer Learning291 topic

Where does Xiangnan He work?

Xiangnan He's main affiliation in the publication record is University of Science and Technology of China, China.

How many publications and citations does Xiangnan He have?

OpenAlex counts 478 works and 46,612 citations for Xiangnan He, an h-index of 94, ranking #704 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 Xiangnan 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.

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