Science Explorer Back to mapMap
Discussion
Researcher · Columbia University · United States

Shih‐Fu Chang

Shih‐Fu Chang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Image and Video Retrieval Techniques, Video Analysis and Summarization and Image Retrieval and Classification Techniques.

ORCID 0000-0003-1444-1205 OpenAlex
World rank
#11,127
of 7,710,434 ranked researchers
Rank in United States
#3,833
of 1,627,098
Works
553
Citations
37k
Citations per work
66.4
h-index
94
i10-index 339Top 0.1% in Computer Vision and Pattern Recognition
Shih‐Fu Chang

What does Shih‐Fu Chang research?

Shih‐Fu Chang's work is mostly in Computer Science (86%), Social Sciences (2%), Engineering (2%).

Physical Sciences: 486 works · 87.9% of their workComputer Science: 478 works · 86.4% of their workComputer Vision and Pattern Recognition: 347 works · 62.7% of their workArtificial Intelligence: 87 works · 15.8% of their workSignal Processing: 35 works · 6.3% of their workComputer Networks and Communications: 9 works · 1.6% of their workEngineering: 8 works · 1.5% of their workMedia Technology: 8 works · 1.5% of their workEverything else: 58 works · 10.4% of their workSocial Sciences: 9 works · 1.7% of their workSocial Sciences: 9 works · 1.7% of their workSociology and Political Science: 9 works · 1.7% of their workTHEIR WORKShih‐Fu Chang553works
Physical Sciences88%Social Sciences2%

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 Science47886.4%
    2. Engineering81.5%
  2. Everything else5810.4%
    1. Social Sciences91.7%
  1. 1Computer Vision and Pattern Recognition63% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Signal Processing6% of their works
  4. 4Sociology and Political Science2% of their works
  5. 5Computer Networks and Communications2% of their works
  6. 6Media Technology2% of their works

Research topics

Which keywords describe Shih‐Fu Chang's research?

The keywords of their largest research topics: Deep Learning, Feature Matching, Local Descriptors, Content-Based Retrieval, Video Summarization, Content-Based Image Retrieval, Shape Matching and Image Captioning.

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 18 words, with their numbers
  1. Deep Learning5285 topics
  2. Feature Matching2231 topic
  3. Local Descriptors2231 topic
  4. Content-Based Retrieval1921 topic
  5. Video Summarization1921 topic
  6. Content-Based Image Retrieval1451 topic
  7. Shape Matching1451 topic
  8. Image Captioning1381 topic
  9. Visual Question Answering1381 topic
  10. Action Recognition841 topic
  11. Pose Estimation841 topic
  12. Convolutional Neural Networks832 topics
  13. Domain Adaptation741 topic
  14. Transfer Learning741 topic
  15. Audio Signal Classification491 topic
  16. Music Information Retrieval491 topic
  17. Object Tracking341 topic
  18. Visual Tracking341 topic

Where does Shih‐Fu Chang work?

Shih‐Fu Chang's main affiliation in the publication record is Columbia University, United States.

How many publications and citations does Shih‐Fu Chang have?

OpenAlex counts 553 works and 36,727 citations for Shih‐Fu Chang, an h-index of 94, ranking #11,127 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 Shih‐Fu 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.

Discussion

Ask a question or share a note about Shih‐Fu Chang. Posts are plain text and can be reported.