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Researcher · PLA Electronic Engineering Institute · China

Yang Xiao-jing

Yang Xiao-jing publishes mostly in Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Advanced Algorithms and Applications, Blind Source Separation Techniques and Advanced Computational Techniques and Applications.

OpenAlex
World rank
#7,340,786
of 7,710,434 ranked researchers
Rank in China
#957,580
of 978,568
Works
65
Citations
223
Citations per work
3.4
h-index
8
i10-index 7Top 54% in Control and Systems Engineering
Yang Xiao-jing

What does Yang Xiao-jing research?

Yang Xiao-jing's work is mostly in Engineering (38%), Computer Science (17%).

Physical Sciences: 36 works · 55.2% of their workEngineering: 25 works · 37.8% of their workControl and Systems Engineering: 12 works · 19.2% of their workElectrical and Electronic Engineering: 6 works · 8.7% of their workIndustrial and Manufacturing Engineering: 3 works · 5.2% of their workMedia Technology: 3 works · 4.7% of their workComputer Science: 11 works · 17.4% of their workArtificial Intelligence: 6 works · 8.7% of their workComputer Vision and Pattern Recognition: 6 works · 8.7% of their workEverything else: 29 works · 44.8% of their workTHEIR WORKYang Xiao-jing65works
Physical Sciences55%

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. Engineering2537.8%
    2. Computer Science1117.4%
  2. Everything else2944.8%
  1. 1Control and Systems Engineering19% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Media Technology5% of their works

Research topics

Which keywords describe Yang Xiao-jing's research?

The keywords of their largest research topics: Neural Networks, PID Control, Support Vector Machines, Virtual Prototyping, Blind Separation, Independent Component Analysis, Assembly Planning and Autofocusing.

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 18 words, with their numbers
  1. Neural Networks152 topics
  2. PID Control101 topic
  3. Support Vector Machines101 topic
  4. Virtual Prototyping102 topics
  5. Blind Separation71 topic
  6. Independent Component Analysis71 topic
  7. Assembly Planning51 topic
  8. Autofocusing51 topic
  9. Control System51 topic
  10. Depth Estimation51 topic
  11. Design for Manufacture51 topic
  12. Expert Systems51 topic
  13. Neural Network51 topic
  14. Optimization51 topic
  15. Simulation51 topic
  16. Wavelet Analysis51 topic
  17. Compression31 topic
  18. Suffix Arrays31 topic

Where does Yang Xiao-jing work?

Yang Xiao-jing's main affiliation in the publication record is PLA Electronic Engineering Institute, China.

How many publications and citations does Yang Xiao-jing have?

OpenAlex counts 65 works and 223 citations for Yang Xiao-jing, an h-index of 8, ranking #7,340,786 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.

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