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Researcher · University of Southern California · United States

Yinglong Xia

Yinglong Xia publishes mostly in Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, on topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques and Bayesian Modeling and Causal Inference.

ORCID 0000-0002-8155-5440 OpenAlex
World rank
#2,034,500
of 7,710,434 ranked researchers
Rank in United States
#616,436
of 1,627,098
Works
98
Citations
1.1k
Citations per work
10.7
h-index
17
i10-index 30Top 18% in Artificial Intelligence
Yinglong Xia

What does Yinglong Xia research?

Yinglong Xia's work is mostly in Computer Science (72%), Physics and Astronomy (9%).

Physical Sciences: 79 works · 81.1% of their workComputer Science: 70 works · 71.7% of their workArtificial Intelligence: 42 works · 43.1% of their workInformation Systems: 10 works · 9.8% of their workComputer Networks and Communications: 8 works · 8.3% of their workComputer Vision and Pattern Recognition: 8 works · 8.3% of their workSignal Processing: 2 works · 2.2% of their workPhysics and Astronomy: 9 works · 9.4% of their workStatistical and Nonlinear Physics: 9 works · 9.4% of their workEverything else: 19 works · 18.9% of their workTHEIR WORKYinglong Xia98works
Physical Sciences81%

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 Science7071.7%
    2. Physics and Astronomy99.4%
  2. Everything else1918.9%
  1. 1Artificial Intelligence43% of their works
  2. 2Information Systems10% of their works
  3. 3Statistical and Nonlinear Physics9% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Computer Networks and Communications8% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Yinglong Xia's research?

The keywords of their largest research topics: Deep Learning, Semi-Supervised Learning, Graph Neural Networks, Knowledge Graph Embedding, Neural Networks, Community Structure, Network Dynamics and Bayesian Networks.

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 Learning603 topics
  2. Semi-Supervised Learning462 topics
  3. Graph Neural Networks391 topic
  4. Knowledge Graph Embedding391 topic
  5. Neural Networks272 topics
  6. Community Structure251 topic
  7. Network Dynamics251 topic
  8. Bayesian Networks201 topic
  9. Causal Inference201 topic
  10. Collaborative Filtering141 topic
  11. Graph Matching141 topic
  12. Graph Processing141 topic
  13. Matrix Factorization141 topic
  14. Machine Translation131 topic
  15. Word Representation131 topic
  16. Active Learning71 topic
  17. Machine Learning71 topic
  18. Interpretable Models61 topic
  19. Machine Learning Interpretability61 topic

Where does Yinglong Xia work?

Yinglong Xia's main affiliation in the publication record is University of Southern California, United States.

How many publications and citations does Yinglong Xia have?

OpenAlex counts 98 works and 1,050 citations for Yinglong Xia, an h-index of 17, ranking #2,034,500 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 Yinglong Xia

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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