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Researcher · University of Technology Sydney · Australia

Xiaojun Chang

Xiaojun Chang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-7778-8807 OpenAlex
World rank
#11,762
of 7,710,434 ranked researchers
Rank in Australia
#309
of 140,210
Works
548
Citations
21k
Citations per work
37.9
h-index
70
i10-index 243Top 0.3% in Computer Vision and Pattern Recognition
Xiaojun Chang

What does Xiaojun Chang research?

Xiaojun Chang's work is mostly in Computer Science (73%), Biochemistry, Genetics and Molecular Biology (3%), Agricultural and Biological Sciences (2%).

Physical Sciences: 398 works · 72.6% of their workComputer Science: 398 works · 72.6% of their workComputer Vision and Pattern Recognition: 238 works · 43.4% of their workArtificial Intelligence: 138 works · 25.1% of their workSignal Processing: 14 works · 2.5% of their workInformation Systems: 9 works · 1.6% of their workEverything else: 124 works · 22.6% of their workLife Sciences: 26 works · 4.8% of their workBiochemistry, Genetics and Molecular Biology: 14 works · 2.6% of their workMolecular Biology: 14 works · 2.6% of their workAgricultural and Biological Sciences: 12 works · 2.2% of their workPlant Science: 12 works · 2.2% of their workTHEIR WORKXiaojun Chang548works
Life Sciences5%Physical Sciences73%

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 Science39872.6%
  2. Everything else12422.6%
    1. Biochemistry, Genetics and Molecular Biology142.6%
    2. Agricultural and Biological Sciences122.2%
  1. 1Computer Vision and Pattern Recognition43% of their works
  2. 2Artificial Intelligence25% of their works
  3. 3Molecular Biology3% of their works
  4. 4Signal Processing2% of their works
  5. 5Plant Science2% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Xiaojun Chang's research?

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

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 19 words, with their numbers
  1. Deep Learning4786 topics
  2. Neural Networks1732 topics
  3. Convolutional Neural Networks1362 topics
  4. Image Captioning1261 topic
  5. Visual Question Answering1261 topic
  6. Domain Adaptation911 topic
  7. Transfer Learning911 topic
  8. Feature Matching851 topic
  9. Local Descriptors851 topic
  10. Action Recognition841 topic
  11. Pose Estimation841 topic
  12. Image Recognition721 topic
  13. Object Detection721 topic
  14. Object Tracking641 topic
  15. Visual Tracking641 topic
  16. Content-Based Retrieval551 topic
  17. Video Summarization551 topic
  18. Anomaly Detection471 topic
  19. Unsupervised471 topic

Where does Xiaojun Chang work?

Xiaojun Chang's main affiliation in the publication record is University of Technology Sydney, Australia.

How many publications and citations does Xiaojun Chang have?

OpenAlex counts 548 works and 20,795 citations for Xiaojun Chang, an h-index of 70, ranking #11,762 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.

Other researchers named Xiaojun Chang

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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