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Researcher · City University of Hong Kong · China

Tak‐sum Wong

Tak‐sum Wong publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Language and Linguistics, on topics such as Natural Language Processing Techniques, Advanced MRI Techniques and Applications and NMR spectroscopy and applications.

ORCID 0000-0002-5941-8757 OpenAlex
World rank
#1,166,031
of 7,710,434 ranked researchers
Rank in China
#167,977
of 978,568
Works
70
Citations
1.9k
Citations per work
27.3
h-index
19
i10-index 31Top 14% in Artificial Intelligence
Tak‐sum Wong

What does Tak‐sum Wong research?

Tak‐sum Wong's work is mostly in Computer Science (23%), Medicine (12%), Arts and Humanities (7%).

Everything else: 33 works · 47.6% of their workPhysical Sciences: 20 works · 28.2% of their workComputer Science: 16 works · 23.0% of their workArtificial Intelligence: 13 works · 18.4% of their workComputer Vision and Pattern Recognition: 3 works · 4.6% of their workPhysics and Astronomy: 4 works · 5.2% of their workNuclear and High Energy Physics: 4 works · 5.2% of their workHealth Sciences: 8 works · 12.1% of their workMedicine: 8 works · 12.1% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 12.1% of their workSocial Sciences: 8 works · 12.1% of their workArts and Humanities: 5 works · 6.9% of their workLanguage and Linguistics: 5 works · 6.9% of their workSocial Sciences: 4 works · 5.2% of their workSociology and Political Science: 4 works · 5.2% of their workTHEIR WORKTak‐sum Wong70works
Physical Sciences28%Health Sciences12%Social Sciences12%

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 else3347.6%
    1. Computer Science1623.0%
    2. Physics and Astronomy45.2%
    1. Medicine812.1%
    1. Arts and Humanities56.9%
    2. Social Sciences45.2%
  1. 1Artificial Intelligence18% of their works
  2. 2Radiology, Nuclear Medicine and Imaging12% of their works
  3. 3Language and Linguistics7% of their works
  4. 4Sociology and Political Science5% of their works
  5. 5Nuclear and High Energy Physics5% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Tak‐sum Wong's research?

The keywords of their largest research topics: Magnetic Resonance Imaging, Deep Learning, Neural Machine Translation, Perfusion Imaging, Spectroscopy, Statistical Machine Translation, Diffusion and Nuclear Magnetic Resonance.

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. Magnetic Resonance Imaging192 topics
  2. Deep Learning172 topics
  3. Neural Machine Translation131 topic
  4. Perfusion Imaging131 topic
  5. Spectroscopy131 topic
  6. Statistical Machine Translation131 topic
  7. Diffusion91 topic
  8. Nuclear Magnetic Resonance91 topic
  9. Neural Networks71 topic
  10. Word Representation71 topic
  11. NMR Spectroscopy61 topic
  12. Solid-State NMR61 topic
  13. China51 topic
  14. Religion51 topic
  15. 3D Reconstruction41 topic
  16. Computer Graphics41 topic
  17. Point Clouds41 topic
  18. Visualization41 topic

Where does Tak‐sum Wong work?

Tak‐sum Wong's main affiliation in the publication record is City University of Hong Kong, China.

How many publications and citations does Tak‐sum Wong have?

OpenAlex counts 70 works and 1,913 citations for Tak‐sum Wong, an h-index of 19, ranking #1,166,031 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.

Discussion

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