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Researcher · Tsinghua University · China

Minlie Huang

Minlie Huang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Speech and dialogue systems.

ORCID 0000-0001-7111-1849 OpenAlex
World rank
#42,212
of 7,710,434 ranked researchers
Rank in China
#2,989
of 978,568
Works
450
Citations
17k
Citations per work
36.7
h-index
65
i10-index 201Top 0.4% in Artificial Intelligence
Minlie Huang

What does Minlie Huang research?

Minlie Huang's work is mostly in Computer Science (84%), Biochemistry, Genetics and Molecular Biology (3%), Psychology (2%).

Physical Sciences: 380 works · 84.4% of their workComputer Science: 380 works · 84.4% of their workArtificial Intelligence: 327 works · 72.7% of their workComputer Vision and Pattern Recognition: 33 works · 7.4% of their workInformation Systems: 19 works · 4.3% of their workEverything else: 45 works · 10.0% of their workLife Sciences: 13 works · 2.8% of their workBiochemistry, Genetics and Molecular Biology: 13 works · 2.8% of their workMolecular Biology: 13 works · 2.8% of their workSocial Sciences: 13 works · 2.8% of their workPsychology: 7 works · 1.5% of their workSocial Psychology: 7 works · 1.5% of their workDecision Sciences: 6 works · 1.3% of their workManagement Science and Operations Research: 6 works · 1.3% of their workTHEIR WORKMinlie Huang450works
Life Sciences3%Physical Sciences84%Social 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 Science38084.4%
  2. Everything else4510.0%
    1. Biochemistry, Genetics and Molecular Biology132.8%
    1. Psychology71.5%
    2. Decision Sciences61.3%
  1. 1Artificial Intelligence73% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Information Systems4% of their works
  4. 4Molecular Biology3% of their works
  5. 5Social Psychology2% of their works
  6. 6Management Science and Operations Research1% of their works

Research topics

Which keywords describe Minlie Huang's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Markov Decision Processes and Spoken Dialogue Systems.

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. Neural Networks4594 topics
  2. Machine Translation3221 topic
  3. Word Representation3221 topic
  4. Neural Machine Translation2021 topic
  5. Statistical Machine Translation2021 topic
  6. Deep Learning1584 topics
  7. Markov Decision Processes881 topic
  8. Spoken Dialogue Systems881 topic
  9. Image Captioning731 topic
  10. Visual Question Answering731 topic
  11. Machine Learning662 topics
  12. Opinion Mining421 topic
  13. Sentiment Analysis421 topic
  14. Automatic401 topic
  15. Extraction401 topic
  16. Adversarial Examples241 topic
  17. Robustness241 topic
  18. Graph Neural Networks191 topic
  19. Knowledge Graph Embedding191 topic

Where does Minlie Huang work?

Minlie Huang's main affiliation in the publication record is Tsinghua University, China.

How many publications and citations does Minlie Huang have?

OpenAlex counts 450 works and 16,511 citations for Minlie Huang, an h-index of 65, ranking #42,212 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 Minlie Huang

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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