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Researcher · Amazon (United States) · United States

Davis Liang

Davis Liang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics, on topics such as Topic Modeling, Natural Language Processing Techniques and Speech Recognition and Synthesis.

OpenAlex
World rank
#2,276,451
of 7,710,434 ranked researchers
Rank in United States
#680,044
of 1,627,098
Works
29
Citations
360
Citations per work
12.4
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Davis Liang

What does Davis Liang research?

Davis Liang's work is mostly in Computer Science (91%), Medicine (5%), Social Sciences (1%).

Physical Sciences: 27 works · 91.4% of their workComputer Science: 27 works · 91.4% of their workArtificial Intelligence: 22 works · 75.6% of their workComputer Vision and Pattern Recognition: 4 works · 13.4% of their workSignal Processing: 1 works · 2.4% of their workHealth Sciences: 1 works · 4.9% of their workMedicine: 1 works · 4.9% of their workHealth Informatics: 1 works · 3.7% of their workFamily Practice: 0 works · 1.2% of their workEverything else: 1 works · 2.5% of their workSocial Sciences: 0 works · 1.2% of their workSocial Sciences: 0 works · 1.2% of their workSociology and Political Science: 0 works · 1.2% of their workTHEIR WORKDavis Liang29works
Physical Sciences91%Health Sciences5%Social Sciences1%

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 Science2791.4%
    1. Medicine14.9%
  3. Everything else12.5%
    1. Social Sciences01.2%
  1. 1Artificial Intelligence76% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Health Informatics4% of their works
  4. 4Signal Processing2% of their works
  5. 5Sociology and Political Science1% of their works
  6. 6Family Practice1% of their works

Research topics

Which keywords describe Davis Liang's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Neural Networks, Deep Learning and Machine Learning.

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 Networks324 topics
  2. Machine Translation211 topic
  3. Word Representation211 topic
  4. Neural Machine Translation201 topic
  5. Statistical Machine Translation201 topic
  6. Deep Neural Networks92 topics
  7. Deep Learning82 topics
  8. Machine Learning83 topics
  9. Acoustic Modeling61 topic
  10. Image Captioning61 topic
  11. Speaker Verification61 topic
  12. Visual Question Answering61 topic
  13. Artificial Intelligence31 topic
  14. Healthcare31 topic
  15. Interpretable Models31 topic
  16. Machine Learning Interpretability31 topic
  17. Readability Assessment31 topic
  18. Text Simplification31 topic
  19. Adversarial Examples21 topic
  20. Robustness21 topic

Where does Davis Liang work?

Davis Liang's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Davis Liang have?

OpenAlex counts 29 works and 360 citations for Davis Liang, an h-index of 10, ranking #2,276,451 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.

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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