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Researcher · Macao Polytechnic University · China

Patrick Cheong‐Iao Pang

Patrick Cheong‐Iao Pang publishes mostly in Artificial Intelligence, General Health Professions and Computer Vision and Pattern Recognition, on topics such as Health Literacy and Information Accessibility, Mobile Health and mHealth Applications and Topic Modeling.

ORCID 0000-0002-8820-5443 OpenAlex
World rank
#148,870
of 7,710,434 ranked researchers
Rank in China
#14,148
of 978,568
Works
125
Citations
1k
Citations per work
8.1
h-index
17
i10-index 35Top 18% in Artificial Intelligence
Patrick Cheong‐Iao Pang

What does Patrick Cheong‐Iao Pang research?

Patrick Cheong‐Iao Pang's work is mostly in Computer Science (30%), Social Sciences (10%), Health Professions (9%).

Everything else: 64 works · 51.4% of their workPhysical Sciences: 38 works · 30.0% of their workComputer Science: 38 works · 30.0% of their workArtificial Intelligence: 23 works · 18.6% of their workComputer Vision and Pattern Recognition: 8 works · 6.3% of their workInformation Systems: 6 works · 5.1% of their workSocial Sciences: 12 works · 10.0% of their workSocial Sciences: 12 works · 10.0% of their workEducation: 7 works · 5.4% of their workSociology and Political Science: 6 works · 4.6% of their workHealth Sciences: 11 works · 8.6% of their workHealth Professions: 11 works · 8.6% of their workGeneral Health Professions: 11 works · 8.6% of their workTHEIR WORKPatrickCheong‐Iao Pang125works
Physical Sciences30%Health Sciences9%Social Sciences10%

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. Everything else6451.4%
    1. Computer Science3830.0%
    1. Social Sciences1210.0%
    1. Health Professions118.6%
  1. 1Artificial Intelligence19% of their works
  2. 2General Health Professions9% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Education5% of their works
  5. 5Information Systems5% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe Patrick Cheong‐Iao Pang's research?

The keywords of their largest research topics: Chronic Disease Management, Artificial Intelligence, Machine Learning, Neural Networks, eHealth, Health Literacy, mHealth and Mobile Health.

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. Chronic Disease Management242 topics
  2. Artificial Intelligence182 topics
  3. Machine Learning182 topics
  4. Neural Networks172 topics
  5. Health Literacy131 topic
  6. eHealth131 topic
  7. Mobile Health111 topic
  8. mHealth111 topic
  9. Machine Translation101 topic
  10. Word Representation101 topic
  11. Chatbots91 topic
  12. Healthcare91 topic
  13. Medical Imaging91 topic
  14. Opinion Mining91 topic
  15. Sentiment Analysis91 topic
  16. Service Robots91 topic
  17. Automatic71 topic
  18. Extraction71 topic
  19. Affective States61 topic
  20. Intelligent Tutoring Systems61 topic

Where does Patrick Cheong‐Iao Pang work?

Patrick Cheong‐Iao Pang's main affiliation in the publication record is Macao Polytechnic University, China.

How many publications and citations does Patrick Cheong‐Iao Pang have?

OpenAlex counts 125 works and 1,014 citations for Patrick Cheong‐Iao Pang, an h-index of 17, ranking #148,870 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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