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Researcher · Macao Polytechnic University · China

Tao Tan

Tao Tan publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Spectroscopy and Chemometric Analyses.

ORCID 0000-0002-5573-1105 OpenAlex
World rank
#631,324
of 7,710,434 ranked researchers
Rank in China
#81,503
of 978,568
Works
200
Citations
3.7k
Citations per work
18.3
h-index
27
i10-index 71Top 6.4% in Artificial Intelligence
Tao Tan

What does Tao Tan research?

Tao Tan's work is mostly in Computer Science (26%), Medicine (18%), Engineering (8%).

Everything else: 97 works · 48.6% of their workPhysical Sciences: 67 works · 33.6% of their workComputer Science: 52 works · 26.0% of their workArtificial Intelligence: 29 works · 14.4% of their workComputer Vision and Pattern Recognition: 23 works · 11.6% of their workEngineering: 15 works · 7.6% of their workBiomedical Engineering: 8 works · 3.9% of their workElectrical and Electronic Engineering: 7 works · 3.7% of their workHealth Sciences: 36 works · 17.8% of their workMedicine: 36 works · 17.8% of their workRadiology, Nuclear Medicine and Imaging: 25 works · 12.6% of their workPulmonary and Respiratory Medicine: 10 works · 5.2% of their workTHEIR WORKTao Tan200works
Physical Sciences34%Health Sciences18%

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 else9748.6%
    1. Computer Science5226.0%
    2. Engineering157.6%
    1. Medicine3617.8%
  1. 1Artificial Intelligence14% of their works
  2. 2Radiology, Nuclear Medicine and Imaging13% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Pulmonary and Respiratory Medicine5% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Tao Tan's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Image Analysis, Convolutional Neural Networks, Computer-Aided Detection, Histopathology Images, Texture Analysis and Medical Imaging.

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 Learning874 topics
  2. Machine Learning742 topics
  3. Medical Image Analysis632 topics
  4. Convolutional Neural Networks592 topics
  5. Computer-Aided Detection481 topic
  6. Histopathology Images481 topic
  7. Texture Analysis412 topics
  8. Medical Imaging261 topic
  9. Radiomics261 topic
  10. Graph Cuts151 topic
  11. Image Segmentation151 topic
  12. Multivariate Calibration151 topic
  13. Near-Infrared Spectroscopy151 topic
  14. Breast Cancer131 topic
  15. Diabetic Retinopathy131 topic
  16. Mammography131 topic
  17. Retinal Disease131 topic
  18. Digital Mammography121 topic
  19. Mammographic Density121 topic
  20. Image Recognition111 topic
  21. Object Detection111 topic

Where does Tao Tan work?

Tao Tan's main affiliation in the publication record is Macao Polytechnic University, China.

How many publications and citations does Tao Tan have?

OpenAlex counts 200 works and 3,651 citations for Tao Tan, an h-index of 27, ranking #631,324 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.

Other researchers named Tao Tan

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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