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Researcher · Chunghwa Telecom (Taiwan) · Taiwan

Chen-Kai Wang

Chen-Kai Wang publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Biomedical Text Mining and Ontologies, Topic Modeling and Machine Learning in Healthcare.

ORCID 0000-0003-1830-2915 OpenAlex
World rank
#2,344,121
of 7,710,434 ranked researchers
Rank in Taiwan
#14,781
of 57,035
Works
20
Citations
277
Citations per work
13.9
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Chen-Kai Wang

What does Chen-Kai Wang research?

Chen-Kai Wang's work is mostly in Computer Science (48%), Biochemistry, Genetics and Molecular Biology (17%), Health Professions (8%).

Physical Sciences: 10 works · 48.3% of their workComputer Science: 10 works · 48.3% of their workArtificial Intelligence: 9 works · 43.3% of their workInformation Systems: 1 works · 5.0% of their workLife Sciences: 4 works · 21.7% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 16.7% of their workMolecular Biology: 3 works · 16.7% of their workPharmacology, Toxicology and Pharmaceutics: 1 works · 5.0% of their workToxicology: 1 works · 5.0% of their workEverything else: 3 works · 16.7% of their workHealth Sciences: 2 works · 8.3% of their workHealth Professions: 2 works · 8.3% of their workHealth Information Management: 2 works · 8.3% of their workSocial Sciences: 1 works · 5.0% of their workSocial Sciences: 1 works · 5.0% of their workSociology and Political Science: 1 works · 5.0% of their workTHEIR WORKChen-Kai Wang20works
Life Sciences22%Physical Sciences48%Health Sciences8%Social Sciences5%

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 Science1048.3%
    1. Biochemistry, Genetics and Molecular Biology316.7%
    2. Pharmacology, Toxicology and Pharmaceutics15.0%
  3. Everything else316.7%
    1. Health Professions28.3%
    1. Social Sciences15.0%
  1. 1Artificial Intelligence43% of their works
  2. 2Molecular Biology17% of their works
  3. 3Health Information Management8% of their works
  4. 4Information Systems5% of their works
  5. 5Sociology and Political Science5% of their works
  6. 6Toxicology5% of their works

Research topics

Which keywords describe Chen-Kai Wang's research?

The keywords of their largest research topics: Deep Learning, Biomedical Ontologies, Neural Networks, Text Mining, Word Representation, Electronic Health Records, Healthcare 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.

All 18 words, with their numbers
  1. Deep Learning82 topics
  2. Biomedical Ontologies71 topic
  3. Neural Networks71 topic
  4. Text Mining71 topic
  5. Word Representation71 topic
  6. Electronic Health Records61 topic
  7. Healthcare61 topic
  8. Machine Learning52 topics
  9. Adverse Drug Reactions31 topic
  10. Fake News31 topic
  11. Misinformation31 topic
  12. Pharmacovigilance31 topic
  13. Phishing31 topic
  14. Spam Detection31 topic
  15. Histopathology Images21 topic
  16. Medical Image Analysis21 topic
  17. Neural Machine Translation21 topic
  18. Statistical Machine Translation21 topic

Where does Chen-Kai Wang work?

Chen-Kai Wang's main affiliation in the publication record is Chunghwa Telecom (Taiwan), Taiwan.

How many publications and citations does Chen-Kai Wang have?

OpenAlex counts 20 works and 277 citations for Chen-Kai Wang, an h-index of 8, ranking #2,344,121 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.

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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