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Researcher · Fudan University · China

Zejia Weng

Zejia Weng publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0001-9706-6484 OpenAlex
World rank
#1,930,142
of 7,710,434 ranked researchers
Rank in China
#295,846
of 978,568
Works
29
Citations
357
Citations per work
12.3
h-index
7
i10-index 5Top 69% in Computer Vision and Pattern Recognition
Zejia Weng

What does Zejia Weng research?

Zejia Weng's work is mostly in Computer Science (90%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (3%).

Physical Sciences: 27 works · 92.4% of their workComputer Science: 26 works · 89.9% of their workComputer Vision and Pattern Recognition: 18 works · 62.0% of their workArtificial Intelligence: 8 works · 26.6% of their workComputer Science Applications: 0 works · 1.3% of their workEngineering: 1 works · 2.5% of their workElectrical and Electronic Engineering: 1 works · 2.5% of their workEverything else: 1 works · 3.8% of their workLife Sciences: 1 works · 3.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.8% of their workMolecular Biology: 1 works · 2.5% of their workCancer Research: 0 works · 1.3% of their workTHEIR WORKZejia Weng29works
Life Sciences4%Physical Sciences92%

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 Science2689.9%
    2. Engineering12.5%
  2. Everything else13.8%
    1. Biochemistry, Genetics and Molecular Biology13.8%
  1. 1Computer Vision and Pattern Recognition62% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Electrical and Electronic Engineering2% of their works
  4. 4Molecular Biology2% of their works
  5. 5Computer Science Applications1% of their works
  6. 6Cancer Research1% of their works

Research topics

Which keywords describe Zejia Weng's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Representation Learning, Unsupervised Learning, Visual Question Answering, Action Recognition and Pose Estimation.

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.

All 20 words, with their numbers
  1. Deep Learning416 topics
  2. Neural Networks213 topics
  3. Image Captioning141 topic
  4. Representation Learning142 topics
  5. Unsupervised Learning142 topics
  6. Visual Question Answering141 topic
  7. Action Recognition121 topic
  8. Pose Estimation121 topic
  9. Domain Adaptation111 topic
  10. Transfer Learning111 topic
  11. Content-Based Retrieval61 topic
  12. Video Summarization61 topic
  13. Adversarial Examples41 topic
  14. Convolutional Neural Networks41 topic
  15. Feature Matching41 topic
  16. Image Recognition41 topic
  17. Local Descriptors41 topic
  18. Robustness41 topic
  19. Generative Adversarial Networks31 topic
  20. Image Synthesis31 topic

Where does Zejia Weng work?

Zejia Weng's main affiliation in the publication record is Fudan University, China.

How many publications and citations does Zejia Weng have?

OpenAlex counts 29 works and 357 citations for Zejia Weng, an h-index of 7, ranking #1,930,142 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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