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Researcher · University of Science and Technology of China · China

Zheng-Jun Zha

Zheng-Jun Zha publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques and Human Pose and Action Recognition.

ORCID 0000-0003-2510-8993 OpenAlex
World rank
#19,380
of 7,710,434 ranked researchers
Rank in China
#1,154
of 978,568
Works
669
Citations
20k
Citations per work
30.5
h-index
74
i10-index 324Top 0.3% in Computer Vision and Pattern Recognition
Zheng-Jun Zha

What does Zheng-Jun Zha research?

Zheng-Jun Zha's work is mostly in Computer Science (74%), Engineering (8%).

Physical Sciences: 549 works · 82.0% of their workComputer Science: 495 works · 74.0% of their workComputer Vision and Pattern Recognition: 385 works · 57.5% of their workArtificial Intelligence: 100 works · 15.0% of their workSignal Processing: 10 works · 1.5% of their workEngineering: 54 works · 8.0% of their workMedia Technology: 26 works · 3.9% of their workBiomedical Engineering: 16 works · 2.4% of their workElectrical and Electronic Engineering: 11 works · 1.7% of their workEverything else: 120 works · 18.0% of their workTHEIR WORKZheng-Jun Zha669works
Physical Sciences82%

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 Science49574.0%
    2. Engineering548.0%
  2. Everything else12018.0%
  1. 1Computer Vision and Pattern Recognition57% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Media Technology4% of their works
  4. 4Biomedical Engineering2% of their works
  5. 5Electrical and Electronic Engineering2% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Zheng-Jun Zha's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Networks, Convolutional Neural Networks, Image Captioning, Visual Question Answering, Feature Matching and Local Descriptors.

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 20 words, with their numbers
  1. Deep Learning5956 topics
  2. Neural Networks2132 topics
  3. Convolutional Networks1862 topics
  4. Convolutional Neural Networks1522 topics
  5. Image Captioning1311 topic
  6. Visual Question Answering1311 topic
  7. Feature Matching1261 topic
  8. Local Descriptors1261 topic
  9. Action Recognition1041 topic
  10. Pose Estimation1041 topic
  11. Domain Adaptation941 topic
  12. Transfer Learning941 topic
  13. Image821 topic
  14. Object Tracking821 topic
  15. Super-Resolution821 topic
  16. Visual Tracking821 topic
  17. Content-Based Image Retrieval701 topic
  18. Image Recognition701 topic
  19. Object Detection701 topic
  20. Shape Matching701 topic

Where does Zheng-Jun Zha work?

Zheng-Jun Zha's main affiliation in the publication record is University of Science and Technology of China, China.

How many publications and citations does Zheng-Jun Zha have?

OpenAlex counts 669 works and 20,430 citations for Zheng-Jun Zha, an h-index of 74, ranking #19,380 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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