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Researcher · Griffith University · Australia

Shirui Pan

Shirui Pan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Advanced Graph Neural Networks, Topic Modeling and Complex Network Analysis Techniques.

ORCID 0000-0003-0794-527X OpenAlex
World rank
#8,401
of 7,710,434 ranked researchers
Rank in Australia
#217
of 140,210
Works
549
Citations
28k
Citations per work
51.4
h-index
71
i10-index 274Top 0.2% in Artificial Intelligence
Shirui Pan

What does Shirui Pan research?

Shirui Pan's work is mostly in Computer Science (68%), Physics and Astronomy (6%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 402 works · 73.2% of their workComputer Science: 372 works · 67.7% of their workArtificial Intelligence: 262 works · 47.8% of their workComputer Vision and Pattern Recognition: 52 works · 9.5% of their workInformation Systems: 36 works · 6.6% of their workSignal Processing: 21 works · 3.8% of their workPhysics and Astronomy: 30 works · 5.5% of their workStatistical and Nonlinear Physics: 30 works · 5.5% of their workEverything else: 124 works · 22.5% of their workLife Sciences: 24 works · 4.3% of their workBiochemistry, Genetics and Molecular Biology: 24 works · 4.3% of their workMolecular Biology: 24 works · 4.3% of their workTHEIR WORKShirui Pan549works
Life Sciences4%Physical Sciences73%

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 Science37267.7%
    2. Physics and Astronomy305.5%
  2. Everything else12422.5%
    1. Biochemistry, Genetics and Molecular Biology244.3%
  1. 1Artificial Intelligence48% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Information Systems7% of their works
  4. 4Statistical and Nonlinear Physics6% of their works
  5. 5Molecular Biology4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Shirui Pan's research?

The keywords of their largest research topics: Deep Learning, Representation Learning, Semi-Supervised Learning, Graph Neural Networks, Knowledge Graph Embedding, Neural Networks, 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 21 words, with their numbers
  1. Deep Learning3764 topics
  2. Representation Learning2862 topics
  3. Semi-Supervised Learning2862 topics
  4. Graph Neural Networks2341 topic
  5. Knowledge Graph Embedding2341 topic
  6. Neural Networks2013 topics
  7. Machine Translation1021 topic
  8. Word Representation1021 topic
  9. Time Series782 topics
  10. Community Structure731 topic
  11. Network Dynamics731 topic
  12. Collaborative Filtering641 topic
  13. Matrix Factorization641 topic
  14. Domain Adaptation521 topic
  15. Transfer Learning521 topic
  16. Clustering431 topic
  17. Dynamic Time Warping431 topic
  18. Anomaly Detection351 topic
  19. Unsupervised351 topic
  20. Graph Matching321 topic
  21. Graph Processing321 topic

Where does Shirui Pan work?

Shirui Pan's main affiliation in the publication record is Griffith University, Australia.

How many publications and citations does Shirui Pan have?

OpenAlex counts 549 works and 28,208 citations for Shirui Pan, an h-index of 71, ranking #8,401 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.

Other researchers named Shirui Pan

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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