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Researcher · Microsoft (Canada) · Canada

Qingzi Vera Liao

Qingzi Vera Liao publishes mostly in Artificial Intelligence, Safety Research and Sociology and Political Science, on topics such as Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI and Artificial Intelligence in Healthcare and Education.

ORCID 0000-0003-4543-7196 OpenAlex
World rank
#28,023
of 7,710,434 ranked researchers
Rank in Canada
#680
of 183,316
Works
100
Citations
5.3k
Citations per work
52.8
h-index
36
i10-index 67Top 2.9% in Artificial Intelligence
Qingzi Vera Liao

What does Qingzi Vera Liao research?

Qingzi Vera Liao's work is mostly in Computer Science (40%), Social Sciences (21%), Medicine (7%).

Physical Sciences: 40 works · 40.5% of their workComputer Science: 40 works · 40.5% of their workArtificial Intelligence: 36 works · 35.9% of their workInformation Systems: 5 works · 4.6% of their workEverything else: 26 works · 26.5% of their workSocial Sciences: 26 works · 26.0% of their workSocial Sciences: 21 works · 21.4% of their workSafety Research: 14 works · 13.7% of their workSociology and Political Science: 8 works · 7.7% of their workDecision Sciences: 5 works · 4.6% of their workInformation Systems and Management: 5 works · 4.6% of their workHealth Sciences: 7 works · 7.0% of their workMedicine: 7 works · 7.0% of their workHealth Informatics: 7 works · 7.0% of their workTHEIR WORKQingzi Vera Liao100works
Physical Sciences40%Health Sciences7%Social Sciences26%

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 Science4040.5%
  2. Everything else2626.5%
    1. Social Sciences2121.4%
    2. Decision Sciences54.6%
    1. Medicine77.0%
  1. 1Artificial Intelligence36% of their works
  2. 2Safety Research14% of their works
  3. 3Sociology and Political Science8% of their works
  4. 4Health Informatics7% of their works
  5. 5Information Systems5% of their works
  6. 6Information Systems and Management5% of their works

Research topics

Which keywords describe Qingzi Vera Liao's research?

The keywords of their largest research topics: Artificial Intelligence, Machine Learning, Big Data, Ethics, Fairness, Interpretable Models, Machine Learning Interpretability and Neural Networks.

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. Artificial Intelligence713 topics
  2. Machine Learning673 topics
  3. Big Data592 topics
  4. Ethics391 topic
  5. Fairness391 topic
  6. Interpretable Models391 topic
  7. Machine Learning Interpretability391 topic
  8. Neural Networks222 topics
  9. Healthcare201 topic
  10. Medical Imaging201 topic
  11. Machine Translation141 topic
  12. Word Representation141 topic
  13. Chatbots121 topic
  14. Service Robots121 topic
  15. Fake News111 topic
  16. Misinformation111 topic
  17. Reproducibility91 topic
  18. Scientific Workflows91 topic
  19. Adversarial Examples81 topic
  20. Deep Learning81 topic

Where does Qingzi Vera Liao work?

Qingzi Vera Liao's main affiliation in the publication record is Microsoft (Canada), Canada.

How many publications and citations does Qingzi Vera Liao have?

OpenAlex counts 100 works and 5,278 citations for Qingzi Vera Liao, an h-index of 36, ranking #28,023 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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