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Researcher · Huawei Technologies (China) · China

Ruiming Tang

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

ORCID 0000-0002-9224-2431 OpenAlex
World rank
#29,689
of 7,710,434 ranked researchers
Rank in China
#1,922
of 978,568
Works
354
Citations
7.9k
Citations per work
22.4
h-index
38
i10-index 114Top 2.5% in Artificial Intelligence
Ruiming Tang

What does Ruiming Tang research?

Ruiming Tang's work is mostly in Computer Science (82%), Decision Sciences (6%).

Physical Sciences: 290 works · 81.9% of their workComputer Science: 290 works · 81.9% of their workArtificial Intelligence: 137 works · 38.7% of their workInformation Systems: 100 works · 28.2% of their workComputer Vision and Pattern Recognition: 31 works · 8.8% of their workComputer Networks and Communications: 15 works · 4.3% of their workSignal Processing: 7 works · 1.9% of their workEverything else: 44 works · 12.3% of their workSocial Sciences: 21 works · 5.8% of their workDecision Sciences: 21 works · 5.8% of their workManagement Science and Operations Research: 21 works · 5.8% of their workTHEIR WORKRuiming Tang354works
Physical Sciences82%Social Sciences6%

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 Science29081.9%
  2. Everything else4412.3%
    1. Decision Sciences215.8%
  1. 1Artificial Intelligence39% of their works
  2. 2Information Systems28% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Management Science and Operations Research6% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Ruiming Tang's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Collaborative Filtering, Matrix Factorization, Machine Translation, Word Representation, 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. 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 18 words, with their numbers
  1. Neural Networks3432 topics
  2. Deep Learning3303 topics
  3. Collaborative Filtering2271 topic
  4. Matrix Factorization2271 topic
  5. Machine Translation1161 topic
  6. Word Representation1161 topic
  7. Graph Neural Networks851 topic
  8. Knowledge Graph Embedding851 topic
  9. Bandit Optimization411 topic
  10. Bayesian Optimization411 topic
  11. Content-Based Image Retrieval231 topic
  12. Neural Machine Translation231 topic
  13. Shape Matching231 topic
  14. Statistical Machine Translation231 topic
  15. Caching191 topic
  16. Information-Centric Networking191 topic
  17. Image Quality Assessment181 topic
  18. Perceptual Quality181 topic

Where does Ruiming Tang work?

Ruiming Tang's main affiliation in the publication record is Huawei Technologies (China), China.

How many publications and citations does Ruiming Tang have?

OpenAlex counts 354 works and 7,939 citations for Ruiming Tang, an h-index of 38, ranking #29,689 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 Ruiming Tang

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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