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Researcher · Tencent (China) · China

Zequn Jie

Zequn Jie publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Advanced Neural Network Applications, Multimodal Machine Learning Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-3038-5891 OpenAlex
World rank
#65,518
of 7,710,434 ranked researchers
Rank in China
#5,138
of 978,568
Works
124
Citations
6k
Citations per work
48.5
h-index
32
i10-index 73Top 4.3% in Computer Vision and Pattern Recognition
Zequn Jie

What does Zequn Jie research?

Zequn Jie's work is mostly in Computer Science (84%), Engineering (5%), Medicine (1%).

Physical Sciences: 110 works · 89.1% of their workComputer Science: 105 works · 84.3% of their workComputer Vision and Pattern Recognition: 82 works · 65.8% of their workArtificial Intelligence: 23 works · 18.5% of their workEngineering: 6 works · 4.8% of their workAerospace Engineering: 2 works · 2.0% of their workMedia Technology: 2 works · 1.7% of their workAutomotive Engineering: 1 works · 1.1% of their workEverything else: 12 works · 9.8% of their workHealth Sciences: 1 works · 1.1% of their workMedicine: 1 works · 1.1% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 1.1% of their workTHEIR WORKZequn Jie124works
Physical Sciences89%Health Sciences1%

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 Science10584.3%
    2. Engineering64.8%
  2. Everything else129.8%
    1. Medicine11.1%
  1. 1Computer Vision and Pattern Recognition66% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Aerospace Engineering2% of their works
  4. 4Media Technology2% of their works
  5. 5Radiology, Nuclear Medicine and Imaging1% of their works
  6. 6Automotive Engineering1% of their works

Research topics

Which keywords describe Zequn Jie's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Image Recognition, Object Detection, Unsupervised Learning, Image Captioning and Visual Question Answering.

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 22 words, with their numbers
  1. Deep Learning1846 topics
  2. Convolutional Neural Networks742 topics
  3. Neural Networks512 topics
  4. Image Recognition501 topic
  5. Object Detection501 topic
  6. Unsupervised Learning483 topics
  7. Image Captioning401 topic
  8. Visual Question Answering401 topic
  9. Feature Matching381 topic
  10. Local Descriptors381 topic
  11. Representation Learning382 topics
  12. Convolutional Networks312 topics
  13. Domain Adaptation271 topic
  14. Transfer Learning271 topic
  15. Object Tracking241 topic
  16. Visual Tracking241 topic
  17. Action Recognition211 topic
  18. Pose Estimation211 topic
  19. Generative Adversarial Networks111 topic
  20. Image Synthesis111 topic
  21. Depth Estimation101 topic
  22. Stereo Vision101 topic

Where does Zequn Jie work?

Zequn Jie's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Zequn Jie have?

OpenAlex counts 124 works and 6,012 citations for Zequn Jie, an h-index of 32, ranking #65,518 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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