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Researcher · Huawei Technologies (China) · China

Minglei Li

Minglei Li publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Topic Modeling, Sentiment Analysis and Opinion Mining and Advanced Text Analysis Techniques.

ORCID 0000-0002-1427-3507 OpenAlex
World rank
#1,403,633
of 7,710,434 ranked researchers
Rank in China
#207,550
of 978,568
Works
71
Citations
986
Citations per work
13.9
h-index
16
i10-index 23Top 20% in Artificial Intelligence
Minglei Li

What does Minglei Li research?

Minglei Li's work is mostly in Computer Science (66%), Biochemistry, Genetics and Molecular Biology (5%), Medicine (3%).

Physical Sciences: 47 works · 65.6% of their workComputer Science: 47 works · 65.6% of their workArtificial Intelligence: 30 works · 42.3% of their workComputer Vision and Pattern Recognition: 8 works · 11.9% of their workSignal Processing: 6 works · 8.8% of their workInformation Systems: 2 works · 2.6% of their workEverything else: 19 works · 26.6% of their workLife Sciences: 4 works · 5.2% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 5.2% of their workMolecular Biology: 4 works · 5.2% of their workHealth Sciences: 2 works · 2.6% of their workMedicine: 2 works · 2.6% of their workPulmonary and Respiratory Medicine: 2 works · 2.6% of their workTHEIR WORKMinglei Li71works
Life Sciences5%Physical Sciences66%Health Sciences3%

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 Science4765.6%
  2. Everything else1926.6%
    1. Biochemistry, Genetics and Molecular Biology45.2%
    1. Medicine22.6%
  1. 1Artificial Intelligence42% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Signal Processing9% of their works
  4. 4Molecular Biology5% of their works
  5. 5Information Systems3% of their works
  6. 6Pulmonary and Respiratory Medicine3% of their works

Research topics

Which keywords describe Minglei Li's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Information Retrieval, Text Classification, Machine Translation, Word Representation, Opinion Mining and Sentiment Analysis.

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 20 words, with their numbers
  1. Neural Networks363 topics
  2. Deep Learning232 topics
  3. Information Retrieval222 topics
  4. Text Classification222 topics
  5. Machine Translation141 topic
  6. Word Representation141 topic
  7. Opinion Mining121 topic
  8. Sentiment Analysis121 topic
  9. Audio-Visual Speech Recognition111 topic
  10. Automatic111 topic
  11. Extraction111 topic
  12. Speech Enhancement111 topic
  13. Neural Machine Translation91 topic
  14. Statistical Machine Translation91 topic
  15. Feature Selection81 topic
  16. Multi-label Learning81 topic
  17. Acoustic Modeling61 topic
  18. Deep Neural Networks61 topic
  19. Markov Decision Processes61 topic
  20. Spoken Dialogue Systems61 topic

Where does Minglei Li work?

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

How many publications and citations does Minglei Li have?

OpenAlex counts 71 works and 986 citations for Minglei Li, an h-index of 16, ranking #1,403,633 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 Minglei Li

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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