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Researcher · Tencent (China) · China

Xiaohu Qie

Xiaohu Qie publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0001-6539-1231 OpenAlex
World rank
#372,028
of 7,710,434 ranked researchers
Rank in China
#43,196
of 978,568
Works
64
Citations
2.4k
Citations per work
37.9
h-index
21
i10-index 26Top 12% in Computer Vision and Pattern Recognition
Xiaohu Qie

What does Xiaohu Qie research?

Xiaohu Qie's work is mostly in Computer Science (62%), Social Sciences (6%), Engineering (5%).

Physical Sciences: 43 works · 67.3% of their workComputer Science: 40 works · 62.4% of their workComputer Vision and Pattern Recognition: 26 works · 41.0% of their workArtificial Intelligence: 9 works · 13.7% of their workComputer Networks and Communications: 5 works · 7.7% of their workEngineering: 3 works · 4.9% of their workAutomotive Engineering: 3 works · 4.9% of their workEverything else: 15 works · 23.4% of their workSocial Sciences: 6 works · 9.3% of their workSocial Sciences: 4 works · 6.0% of their workTransportation: 4 works · 6.0% of their workBusiness, Management and Accounting: 2 works · 3.3% of their workMarketing: 2 works · 3.3% of their workTHEIR WORKXiaohu Qie64works
Physical Sciences67%Social 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 Science4062.4%
    2. Engineering34.9%
  2. Everything else1523.4%
    1. Social Sciences46.0%
    2. Business, Management and Accounting23.3%
  1. 1Computer Vision and Pattern Recognition41% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Transportation6% of their works
  5. 5Automotive Engineering5% of their works
  6. 6Marketing3% of their works

Research topics

Which keywords describe Xiaohu Qie's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Image Captioning, Visual Question Answering, Convolutional Networks, Representation Learning and Action 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 21 words, with their numbers
  1. Deep Learning504 topics
  2. Neural Networks282 topics
  3. Unsupervised Learning263 topics
  4. Image Captioning211 topic
  5. Visual Question Answering211 topic
  6. Convolutional Networks202 topics
  7. Representation Learning182 topics
  8. Action Recognition121 topic
  9. Pose Estimation121 topic
  10. Domain Adaptation111 topic
  11. Transfer Learning111 topic
  12. Feature Matching101 topic
  13. Local Descriptors101 topic
  14. Ridesharing91 topic
  15. Shared Autonomous Vehicles91 topic
  16. Depth Estimation81 topic
  17. Stereo Vision81 topic
  18. Generative Adversarial Networks71 topic
  19. Image Synthesis71 topic
  20. Computer Graphics61 topic
  21. Visualization61 topic

Where does Xiaohu Qie work?

Xiaohu Qie's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Xiaohu Qie have?

OpenAlex counts 64 works and 2,423 citations for Xiaohu Qie, an h-index of 21, ranking #372,028 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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