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Researcher · Waseda University · Japan

Hang Song

Hang Song publishes mostly in Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, on topics such as Advanced Algorithms and Applications, Indoor and Outdoor Localization Technologies and Cell Image Analysis Techniques.

World rank
#1,339,006
of 1,633,909 ranked researchers
Rank in Japan
#86,952
of 114,622
Works
15
Citations
12
Citations per work
0.8

What does Hang Song research?

Electrical and Electronic Engineering: 20.0%Control and Systems Engineering: 20.0%Computer Vision and Pattern Recognition: 15.0%Biomedical Engineering: 10.0%other fields: 35.0%20%top field
Electrical and Electronic Engineering20.0%Control and Systems Engineering20.0%Computer Vision and Pattern Recognition15.0%Biomedical Engineering10.0%other fields35.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Electrical and Electronic Engineering20% of their works
  2. 2Control and Systems Engineering20% of their works
  3. 3Computer Vision and Pattern Recognition15% of their works
  4. 4Biomedical Engineering10% of their works
  5. 5Mechanical Engineering5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Hang Song's research?

The keywords of their largest research topics: Wireless Sensor Networks, Deep Learning, Neural Networks, Indoor Localization, PID Control, RF-Based Positioning, Support Vector Machines and Video Coding.

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. Wireless Sensor Networks53 topics
  2. Deep Learning44 topics
  3. Neural Networks32 topics
  4. Indoor Localization21 topic
  5. PID Control21 topic
  6. RF-Based Positioning21 topic
  7. Support Vector Machines21 topic
  8. Video Coding22 topics
  9. Bioimage Analysis11 topic
  10. Energy-Efficient Protocols11 topic
  11. Generative Adversarial Networks11 topic
  12. H.264/AVC11 topic
  13. High Efficiency Video Coding (HEVC)11 topic
  14. High-Content Screening11 topic
  15. Image Quality Assessment11 topic
  16. Image Synthesis11 topic
  17. JPEG200011 topic
  18. Perceptual Quality11 topic
  19. Routing Techniques11 topic
  20. Wavelet Compression11 topic

Where does Hang Song work?

Hang Song's main affiliation in the publication record is Waseda University, Japan.

How many publications and citations does Hang Song have?

Science Explorer counts 15 works and 12 citations for Hang Song, ranking #1,339,006 of 1,633,909 researchers worldwide on the composite 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 Hang Song

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.