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Researcher · Tencent (China) · China

Kai Ma

Kai Ma publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Advanced Neural Network Applications, AI in cancer detection and COVID-19 diagnosis using AI.

ORCID 0000-0003-2805-3692 OpenAlex
World rank
#193,823
of 7,710,434 ranked researchers
Rank in China
#19,494
of 978,568
Works
302
Citations
6.5k
Citations per work
21.4
h-index
44
i10-index 105Top 1.7% in Computer Vision and Pattern Recognition
Kai Ma

What does Kai Ma research?

Kai Ma's work is mostly in Computer Science (33%), Medicine (18%), Engineering (7%).

Everything else: 127 works · 41.9% of their workPhysical Sciences: 121 works · 40.0% of their workComputer Science: 100 works · 33.1% of their workComputer Vision and Pattern Recognition: 63 works · 20.7% of their workArtificial Intelligence: 37 works · 12.4% of their workEngineering: 21 works · 6.9% of their workBiomedical Engineering: 11 works · 3.7% of their workElectrical and Electronic Engineering: 10 works · 3.2% of their workHealth Sciences: 55 works · 18.1% of their workMedicine: 55 works · 18.1% of their workRadiology, Nuclear Medicine and Imaging: 39 works · 13.0% of their workOphthalmology: 15 works · 5.1% of their workTHEIR WORKKai Ma302works
Physical Sciences40%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 else12741.9%
    1. Computer Science10033.1%
    2. Engineering216.9%
    1. Medicine5518.1%
  1. 1Computer Vision and Pattern Recognition21% of their works
  2. 2Radiology, Nuclear Medicine and Imaging13% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Ophthalmology5% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Kai Ma's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Medical Imaging, Transfer Learning, Texture Analysis and Image Recognition.

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 23 words, with their numbers
  1. Deep Learning1896 topics
  2. Convolutional Neural Networks1203 topics
  3. Machine Learning722 topics
  4. Medical Image Analysis692 topics
  5. Medical Imaging592 topics
  6. Transfer Learning562 topics
  7. Texture Analysis532 topics
  8. Image Recognition451 topic
  9. Object Detection451 topic
  10. Computer-Aided Detection441 topic
  11. Histopathology Images441 topic
  12. COVID-19311 topic
  13. Chest X-Ray311 topic
  14. Quantitative Analysis281 topic
  15. Radiomics281 topic
  16. Diabetic Retinopathy271 topic
  17. Retinal Disease271 topic
  18. Domain Adaptation251 topic
  19. Few-Shot Learning251 topic
  20. Graph Cuts251 topic
  21. Image Segmentation251 topic
  22. Image Captioning171 topic
  23. Visual Question Answering171 topic

Where does Kai Ma work?

Kai Ma's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Kai Ma have?

OpenAlex counts 302 works and 6,463 citations for Kai Ma, an h-index of 44, ranking #193,823 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 Kai Ma

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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