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Researcher · Baidu (China) · China

Lei Shi

Lei Shi publishes mostly in Artificial Intelligence, Transportation and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Advanced Graph Neural Networks and Visual and Cognitive Learning Processes.

ORCID 0009-0008-8043-7224 OpenAlex
World rank
#2,010,282
of 7,710,434 ranked researchers
Rank in China
#309,480
of 978,568
Works
15
Citations
445
Citations per work
29.7
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Lei Shi

What does Lei Shi research?

Lei Shi's work is mostly in Computer Science (48%), Social Sciences (10%), Psychology (8%).

Physical Sciences: 8 works · 52.5% of their workComputer Science: 7 works · 47.5% of their workArtificial Intelligence: 5 works · 32.5% of their workComputer Vision and Pattern Recognition: 2 works · 10.0% of their workHuman-Computer Interaction: 1 works · 5.0% of their workEngineering: 1 works · 5.0% of their workBuilding and Construction: 1 works · 5.0% of their workEverything else: 4 works · 30.0% of their workSocial Sciences: 3 works · 17.5% of their workSocial Sciences: 2 works · 10.0% of their workTransportation: 2 works · 10.0% of their workPsychology: 1 works · 7.5% of their workExperimental and Cognitive Psychology: 1 works · 7.5% of their workTHEIR WORKLei Shi15works
Physical Sciences52%Social Sciences18%

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 Science747.5%
    2. Engineering15.0%
  2. Everything else430.0%
    1. Social Sciences210.0%
    2. Psychology17.5%
  1. 1Artificial Intelligence32% of their works
  2. 2Transportation10% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Experimental and Cognitive Psychology8% of their works
  5. 5Building and Construction5% of their works
  6. 6Human-Computer Interaction5% of their works

Research topics

Which keywords describe Lei Shi's research?

The keywords of their largest research topics: Deep Learning, Graph Convolutional Networks, Neural Networks, Graph Neural Networks, Knowledge Graph Embedding, Machine Translation, Word Representation and Cognitive Load Theory.

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 19 words, with their numbers
  1. Deep Learning62 topics
  2. Graph Convolutional Networks62 topics
  3. Neural Networks62 topics
  4. Graph Neural Networks41 topic
  5. Knowledge Graph Embedding41 topic
  6. Machine Translation41 topic
  7. Word Representation41 topic
  8. Cognitive Load Theory31 topic
  9. GPS Data31 topic
  10. Human Mobility31 topic
  11. Multimedia Learning31 topic
  12. Cinemeducation21 topic
  13. Film as Teaching Tool21 topic
  14. Graph Matching21 topic
  15. Graph Processing21 topic
  16. Narrative Persuasion21 topic
  17. Short-Term Forecasting21 topic
  18. Traffic Flow21 topic
  19. Transportation21 topic

Where does Lei Shi work?

Lei Shi's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Lei Shi have?

OpenAlex counts 15 works and 445 citations for Lei Shi, an h-index of 7, ranking #2,010,282 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 Lei Shi

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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