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Researcher · Dalian Polytechnic University · China

Yinghong Cao

Yinghong Cao publishes mostly in Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, on topics such as Chaos-based Image/Signal Encryption, Advanced Memory and Neural Computing and Chaos control and synchronization.

ORCID 0000-0001-6154-8107 OpenAlex
World rank
#74,745
of 7,710,434 ranked researchers
Rank in China
#6,031
of 978,568
Works
135
Citations
4.2k
Citations per work
30.8
h-index
33
i10-index 72Top 4% in Computer Vision and Pattern Recognition
Yinghong Cao

What does Yinghong Cao research?

Yinghong Cao's work is mostly in Computer Science (32%), Engineering (22%), Physics and Astronomy (16%).

Physical Sciences: 95 works · 70.6% of their workComputer Science: 44 works · 32.3% of their workComputer Vision and Pattern Recognition: 36 works · 26.8% of their workComputer Networks and Communications: 7 works · 5.5% of their workEngineering: 30 works · 22.0% of their workElectrical and Electronic Engineering: 19 works · 14.4% of their workCivil and Structural Engineering: 10 works · 7.6% of their workPhysics and Astronomy: 22 works · 16.3% of their workStatistical and Nonlinear Physics: 22 works · 16.3% of their workEverything else: 31 works · 23.1% of their workLife Sciences: 9 works · 6.3% of their workNeuroscience: 9 works · 6.3% of their workCognitive Neuroscience: 9 works · 6.3% of their workTHEIR WORKYinghong Cao135works
Life Sciences6%Physical Sciences71%

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 Science4432.3%
    2. Engineering3022.0%
    3. Physics and Astronomy2216.3%
  2. Everything else3123.1%
    1. Neuroscience96.3%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Statistical and Nonlinear Physics16% of their works
  3. 3Electrical and Electronic Engineering14% of their works
  4. 4Civil and Structural Engineering8% of their works
  5. 5Cognitive Neuroscience6% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Yinghong Cao's research?

The keywords of their largest research topics: Chaos, Synchronization, Neural Networks, Chaotic Maps, Image Encryption, Memristor, Neuromorphic Computing and Complex Systems.

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. Chaos842 topics
  2. Synchronization683 topics
  3. Neural Networks582 topics
  4. Chaotic Maps541 topic
  5. Image Encryption541 topic
  6. Memristor421 topic
  7. Neuromorphic Computing421 topic
  8. Complex Systems301 topic
  9. Nonlinear Dynamics301 topic
  10. Brownian Motors291 topic
  11. Stochastic Resonance291 topic
  12. Reversible Data Embedding281 topic
  13. Steganography281 topic
  14. Cortical Networks221 topic
  15. Neuronal Oscillations221 topic
  16. Complex Networks161 topic
  17. Dynamical Systems161 topic
  18. Footbridges91 topic
  19. Vibration Serviceability91 topic

Where does Yinghong Cao work?

Yinghong Cao's main affiliation in the publication record is Dalian Polytechnic University, China.

How many publications and citations does Yinghong Cao have?

OpenAlex counts 135 works and 4,163 citations for Yinghong Cao, an h-index of 33, ranking #74,745 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.

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

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