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Researcher · Microsoft (United States) · United States

Hoifung Poon

Hoifung Poon publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Natural Language Processing Techniques and Biomedical Text Mining and Ontologies.

ORCID 0000-0002-9067-0918 OpenAlex
World rank
#47,655
of 7,710,434 ranked researchers
Rank in United States
#18,378
of 1,627,098
Works
181
Citations
12k
Citations per work
68.0
h-index
42
i10-index 81Top 1.8% in Artificial Intelligence
Hoifung Poon

What does Hoifung Poon research?

Hoifung Poon's work is mostly in Computer Science (60%), Biochemistry, Genetics and Molecular Biology (12%), Medicine (8%).

Physical Sciences: 110 works · 60.5% of their workComputer Science: 110 works · 60.5% of their workArtificial Intelligence: 90 works · 49.5% of their workComputer Vision and Pattern Recognition: 13 works · 7.0% of their workComputational Theory and Mathematics: 7 works · 4.0% of their workEverything else: 36 works · 20.1% of their workLife Sciences: 21 works · 11.6% of their workBiochemistry, Genetics and Molecular Biology: 21 works · 11.6% of their workMolecular Biology: 21 works · 11.6% of their workHealth Sciences: 14 works · 7.8% of their workMedicine: 14 works · 7.8% of their workHealth Informatics: 9 works · 5.0% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 2.8% of their workTHEIR WORKHoifung Poon181works
Life Sciences12%Physical Sciences60%Health Sciences8%

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 Science11060.5%
  2. Everything else3620.1%
    1. Biochemistry, Genetics and Molecular Biology2111.6%
    1. Medicine147.8%
  1. 1Artificial Intelligence50% of their works
  2. 2Molecular Biology12% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Health Informatics5% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Hoifung Poon's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Precision Medicine, Data Integration and Semantic Web.

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 25 words, with their numbers
  1. Neural Networks1112 topics
  2. Machine Translation901 topic
  3. Word Representation901 topic
  4. Neural Machine Translation571 topic
  5. Statistical Machine Translation571 topic
  6. Precision Medicine563 topics
  7. Data Integration532 topics
  8. Semantic Web532 topics
  9. Healthcare442 topics
  10. Biomedical Ontologies421 topic
  11. Text Mining421 topic
  12. Deep Learning402 topics
  13. Machine Learning372 topics
  14. Medical Imaging372 topics
  15. Predictive Modeling312 topics
  16. Artificial Intelligence251 topic
  17. Clinical Decision Support251 topic
  18. Image Captioning211 topic
  19. Visual Question Answering211 topic
  20. Electronic Health Records191 topic
  21. Patient Similarity191 topic
  22. Quantitative Analysis121 topic
  23. Radiomics121 topic
  24. Linked Data111 topic
  25. Ontology111 topic

Where does Hoifung Poon work?

Hoifung Poon's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Hoifung Poon have?

OpenAlex counts 181 works and 12,311 citations for Hoifung Poon, an h-index of 42, ranking #47,655 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.

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