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Researcher · Henan Polytechnic University · China

Chaosheng Tang

Chaosheng Tang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, on topics such as Brain Tumor Detection and Classification, Advanced Neural Network Applications and COVID-19 diagnosis using AI.

ORCID 0000-0001-6923-855X OpenAlex
World rank
#528,359
of 7,710,434 ranked researchers
Rank in China
#65,888
of 978,568
Works
74
Citations
1.7k
Citations per work
23.2
h-index
20
i10-index 26Top 13% in Computer Vision and Pattern Recognition
Chaosheng Tang

What does Chaosheng Tang research?

Chaosheng Tang's work is mostly in Computer Science (43%), Neuroscience (11%), Medicine (9%).

Physical Sciences: 34 works · 46.0% of their workComputer Science: 32 works · 42.7% of their workComputer Vision and Pattern Recognition: 18 works · 24.2% of their workArtificial Intelligence: 11 works · 15.2% of their workComputer Networks and Communications: 2 works · 3.3% of their workPhysics and Astronomy: 2 works · 3.3% of their workStatistical and Nonlinear Physics: 2 works · 3.3% of their workEverything else: 25 works · 34.1% of their workLife Sciences: 8 works · 10.9% of their workNeuroscience: 8 works · 10.9% of their workNeurology: 8 works · 10.9% of their workHealth Sciences: 7 works · 9.0% of their workMedicine: 7 works · 9.0% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 9.0% of their workTHEIR WORKChaosheng Tang74works
Life Sciences11%Physical Sciences46%Health Sciences9%

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 Science3242.7%
    2. Physics and Astronomy23.3%
  2. Everything else2534.1%
    1. Neuroscience810.9%
    1. Medicine79.0%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Neurology11% of their works
  4. 4Radiology, Nuclear Medicine and Imaging9% of their works
  5. 5Statistical and Nonlinear Physics3% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Chaosheng Tang's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Transfer Learning, Feature Extraction, Image Segmentation and Brain Tumor.

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. Deep Learning776 topics
  2. Convolutional Neural Networks454 topics
  3. Machine Learning414 topics
  4. Medical Imaging413 topics
  5. Transfer Learning362 topics
  6. Feature Extraction333 topics
  7. Image Segmentation332 topics
  8. Brain Tumor231 topic
  9. MRI231 topic
  10. Medical Image Analysis233 topics
  11. Image Recognition191 topic
  12. Object Detection191 topic
  13. Texture Analysis152 topics
  14. COVID-19131 topic
  15. Chest X-Ray131 topic
  16. Active Contours101 topic
  17. Graph Cuts101 topic
  18. Computer-Aided Detection81 topic
  19. Histopathology Images81 topic
  20. Leukemia Classification51 topic
  21. Malaria Parasite Detection51 topic
  22. Quantitative Analysis51 topic
  23. Radiomics51 topic
  24. Anomaly Detection41 topic
  25. Unsupervised41 topic

Where does Chaosheng Tang work?

Chaosheng Tang's main affiliation in the publication record is Henan Polytechnic University, China.

How many publications and citations does Chaosheng Tang have?

OpenAlex counts 74 works and 1,718 citations for Chaosheng Tang, an h-index of 20, ranking #528,359 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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