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Researcher · University of Illinois Chicago · United States

Philip S. Yu

Philip S. Yu publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques and Topic Modeling.

ORCID 0000-0002-3491-5968 OpenAlex
World rank
#3,310
of 7,710,434 ranked researchers
Rank in United States
#1,154
of 1,627,098
Works
2,663
Citations
141k
Citations per work
53.0
h-index
169
i10-index 1,298Top 0.1% in Artificial Intelligence
Philip S. Yu

What does Philip S. Yu research?

Philip S. Yu's work is mostly in Computer Science (71%), Physics and Astronomy (6%).

Physical Sciences: 2,069 works · 77.7% of their workComputer Science: 1,899 works · 71.3% of their workArtificial Intelligence: 940 works · 35.3% of their workInformation Systems: 309 works · 11.6% of their workComputer Networks and Communications: 304 works · 11.4% of their workComputer Vision and Pattern Recognition: 192 works · 7.2% of their workSignal Processing: 154 works · 5.8% of their workPhysics and Astronomy: 170 works · 6.4% of their workStatistical and Nonlinear Physics: 170 works · 6.4% of their workEverything else: 594 works · 22.3% of their workTHEIR WORKPhilip S. Yu2,663works
Physical Sciences78%

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 Science1,89971.3%
    2. Physics and Astronomy1706.4%
  2. Everything else59422.3%
  1. 1Artificial Intelligence35% of their works
  2. 2Information Systems12% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Computer Vision and Pattern Recognition7% of their works
  5. 5Statistical and Nonlinear Physics6% of their works
  6. 6Signal Processing6% of their works

Research topics

Which keywords describe Philip S. Yu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Graph Neural Networks, Knowledge Graph Embedding, Data Mining, Machine Learning, Community Structure and Network Dynamics.

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 Learning7852 topics
  2. Neural Networks6522 topics
  3. Graph Neural Networks5211 topic
  4. Knowledge Graph Embedding5211 topic
  5. Data Mining4302 topics
  6. Machine Learning4302 topics
  7. Community Structure4031 topic
  8. Network Dynamics4031 topic
  9. Machine Translation3881 topic
  10. Word Representation3881 topic
  11. GPS Trajectories2801 topic
  12. Trajectory Data Mining2801 topic
  13. Association Rules2731 topic
  14. Frequent Patterns2731 topic
  15. Collaborative Filtering2641 topic
  16. Matrix Factorization2641 topic
  17. Neural Machine Translation1641 topic
  18. Statistical Machine Translation1641 topic
  19. Differential Privacy1571 topic
  20. Federated Learning1571 topic

Where does Philip S. Yu work?

Philip S. Yu's main affiliation in the publication record is University of Illinois Chicago, United States.

How many publications and citations does Philip S. Yu have?

OpenAlex counts 2,663 works and 141,088 citations for Philip S. Yu, an h-index of 169, ranking #3,310 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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