Science Explorer Back to mapMap
Discussion
Researcher · Peking University · China

Jun Sun

Jun Sun publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Video Coding and Compression Technologies, Advanced Vision and Imaging and Image and Video Quality Assessment.

ORCID 0000-0001-6864-0803 OpenAlex
World rank
#2,628,165
of 7,710,434 ranked researchers
Rank in China
#411,885
of 978,568
Works
143
Citations
1.9k
Citations per work
13.4
h-index
24
i10-index 44Top 8.9% in Computer Vision and Pattern Recognition
Jun Sun

What does Jun Sun research?

Jun Sun's work is mostly in Computer Science (64%), Engineering (6%), Materials Science (2%).

Physical Sciences: 103 works · 72.0% of their workComputer Science: 91 works · 63.6% of their workComputer Vision and Pattern Recognition: 62 works · 43.2% of their workSignal Processing: 20 works · 14.3% of their workArtificial Intelligence: 9 works · 6.1% of their workEngineering: 8 works · 5.9% of their workElectrical and Electronic Engineering: 5 works · 3.4% of their workMedia Technology: 4 works · 2.5% of their workMaterials Science: 4 works · 2.5% of their workMaterials Chemistry: 4 works · 2.5% of their workEverything else: 40 works · 28.0% of their workTHEIR WORKJun Sun143works
Physical Sciences72%

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 Science9163.6%
    2. Engineering85.9%
    3. Materials Science42.5%
  2. Everything else4028.0%
  1. 1Computer Vision and Pattern Recognition43% of their works
  2. 2Signal Processing14% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Electrical and Electronic Engineering3% of their works
  5. 5Media Technology2% of their works
  6. 6Materials Chemistry2% of their works

Research topics

Which keywords describe Jun Sun's research?

The keywords of their largest research topics: Deep Learning, Video Coding, Convolutional Networks, H.264/AVC, High Efficiency Video Coding (HEVC), Depth Estimation, Stereo Vision and Image Quality Assessment.

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 19 words, with their numbers
  1. Deep Learning945 topics
  2. Video Coding732 topics
  3. Convolutional Networks662 topics
  4. H.264/AVC531 topic
  5. High Efficiency Video Coding (HEVC)531 topic
  6. Depth Estimation441 topic
  7. Stereo Vision441 topic
  8. Image Quality Assessment381 topic
  9. Perceptual Quality381 topic
  10. Image221 topic
  11. Super-Resolution221 topic
  12. JPEG2000201 topic
  13. Wavelet Compression201 topic
  14. Feature Matching91 topic
  15. Local Descriptors91 topic
  16. Interactive Television71 topic
  17. Social TV71 topic
  18. Contrast Enhancement51 topic
  19. Dehazing51 topic

Where does Jun Sun work?

Jun Sun's main affiliation in the publication record is Peking University, China.

How many publications and citations does Jun Sun have?

OpenAlex counts 143 works and 1,913 citations for Jun Sun, an h-index of 24, ranking #2,628,165 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.

Other researchers named Jun Sun

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 Jun Sun. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.