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Researcher · Microsoft Research Asia (China) · China

Xian‐Sheng Hua

Xian‐Sheng Hua publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Image and Video Retrieval Techniques, Image Retrieval and Classification Techniques and Video Analysis and Summarization.

ORCID 0000-0002-8232-5049 OpenAlex
World rank
#18,928
of 7,710,434 ranked researchers
Rank in China
#1,124
of 978,568
Works
581
Citations
21k
Citations per work
35.8
h-index
73
i10-index 328Top 0.3% in Computer Vision and Pattern Recognition
Xian‐Sheng Hua

What does Xian‐Sheng Hua research?

Xian‐Sheng Hua's work is mostly in Computer Science (84%), Social Sciences (2%), Engineering (2%).

Physical Sciences: 497 works · 85.5% of their workComputer Science: 486 works · 83.6% of their workComputer Vision and Pattern Recognition: 357 works · 61.5% of their workArtificial Intelligence: 101 works · 17.3% of their workSignal Processing: 17 works · 3.0% of their workInformation Systems: 10 works · 1.8% of their workEngineering: 11 works · 1.9% of their workBiomedical Engineering: 11 works · 1.9% of their workEverything else: 71 works · 12.3% of their workSocial Sciences: 13 works · 2.2% of their workSocial Sciences: 13 works · 2.2% of their workSociology and Political Science: 13 works · 2.2% of their workTHEIR WORKXian‐Sheng Hua581works
Physical Sciences86%Social Sciences2%

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 Science48683.6%
    2. Engineering111.9%
  2. Everything else7112.3%
    1. Social Sciences132.2%
  1. 1Computer Vision and Pattern Recognition62% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Signal Processing3% of their works
  4. 4Sociology and Political Science2% of their works
  5. 5Biomedical Engineering2% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Xian‐Sheng Hua's research?

The keywords of their largest research topics: Deep Learning, Feature Matching, Local Descriptors, Content-Based Image Retrieval, Shape Matching, Content-Based Retrieval, Video Summarization and Convolutional Neural Networks.

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 18 words, with their numbers
  1. Deep Learning5575 topics
  2. Feature Matching2761 topic
  3. Local Descriptors2761 topic
  4. Content-Based Image Retrieval1741 topic
  5. Shape Matching1741 topic
  6. Content-Based Retrieval1621 topic
  7. Video Summarization1621 topic
  8. Convolutional Neural Networks1412 topics
  9. Domain Adaptation1041 topic
  10. Transfer Learning1041 topic
  11. Image Captioning871 topic
  12. Visual Question Answering871 topic
  13. Image Recognition761 topic
  14. Object Detection761 topic
  15. Object Tracking651 topic
  16. Visual Tracking651 topic
  17. Action Recognition531 topic
  18. Pose Estimation531 topic

Where does Xian‐Sheng Hua work?

Xian‐Sheng Hua's main affiliation in the publication record is Microsoft Research Asia (China), China.

How many publications and citations does Xian‐Sheng Hua have?

OpenAlex counts 581 works and 20,779 citations for Xian‐Sheng Hua, an h-index of 73, ranking #18,928 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 Xian‐Sheng Hua

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.

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