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Researcher · Macao Polytechnic University · China

Su-Kit Tang

Su-Kit Tang publishes mostly in Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Advanced Neural Network Applications, Video Surveillance and Tracking Methods and Air Quality Monitoring and Forecasting.

ORCID 0000-0001-8104-7887 OpenAlex
World rank
#2,220,880
of 7,710,434 ranked researchers
Rank in China
#344,622
of 978,568
Works
96
Citations
669
Citations per work
7.0
h-index
14
i10-index 23Top 27% in Computer Vision and Pattern Recognition
Su-Kit Tang

What does Su-Kit Tang research?

Su-Kit Tang's work is mostly in Computer Science (41%), Engineering (9%), Environmental Science (6%).

Physical Sciences: 53 works · 55.7% of their workComputer Science: 39 works · 40.9% of their workComputer Vision and Pattern Recognition: 14 works · 15.1% of their workComputer Networks and Communications: 11 works · 11.4% of their workArtificial Intelligence: 8 works · 8.5% of their workInformation Systems: 6 works · 5.9% of their workEngineering: 9 works · 8.9% of their workElectrical and Electronic Engineering: 9 works · 8.9% of their workEnvironmental Science: 6 works · 5.9% of their workEnvironmental Engineering: 6 works · 5.9% of their workEverything else: 43 works · 44.3% of their workTHEIR WORKSu-Kit Tang96works
Physical Sciences56%

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 Science3940.9%
    2. Engineering98.9%
    3. Environmental Science65.9%
  2. Everything else4344.3%
  1. 1Computer Vision and Pattern Recognition15% of their works
  2. 2Computer Networks and Communications11% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Information Systems6% of their works
  6. 6Environmental Engineering6% of their works

Research topics

Which keywords describe Su-Kit Tang's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Environmental Monitoring, Image Recognition, Object Detection, Electric Vehicles and Object Tracking.

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 21 words, with their numbers
  1. Deep Learning344 topics
  2. Convolutional Neural Networks232 topics
  3. Machine Learning193 topics
  4. Environmental Monitoring142 topics
  5. Image Recognition131 topic
  6. Object Detection131 topic
  7. Electric Vehicles122 topics
  8. Object Tracking101 topic
  9. Visual Tracking101 topic
  10. Air Quality Monitoring81 topic
  11. Low-Cost Sensors81 topic
  12. Battery Management Systems71 topic
  13. Blockchain71 topic
  14. Internet of Things71 topic
  15. Lithium-ion Batteries71 topic
  16. Plant Disease Detection61 topic
  17. Smart Farming61 topic
  18. Charging Infrastructure51 topic
  19. Intrusion Detection51 topic
  20. Network Security51 topic
  21. Vehicle-to-Grid51 topic

Where does Su-Kit Tang work?

Su-Kit Tang's main affiliation in the publication record is Macao Polytechnic University, China.

How many publications and citations does Su-Kit Tang have?

OpenAlex counts 96 works and 669 citations for Su-Kit Tang, an h-index of 14, ranking #2,220,880 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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