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Researcher · Beijing Institute of Technology · China

Cang-Pu Wu

Cang-Pu Wu publishes mostly in Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics, on topics such as Neural Networks and Applications, Advanced Control Systems Optimization and Advanced Algorithms and Applications.

OpenAlex
World rank
#7,092,455
of 7,710,434 ranked researchers
Rank in China
#940,163
of 978,568
Works
27
Citations
52
Citations per work
1.9
h-index
4
i10-index 1Top 87% in Control and Systems Engineering
Cang-Pu Wu

What does Cang-Pu Wu research?

Cang-Pu Wu's work is mostly in Engineering (44%), Computer Science (38%), Mathematics (7%).

Physical Sciences: 24 works · 89.0% of their workEngineering: 12 works · 43.8% of their workControl and Systems Engineering: 10 works · 37.0% of their workIndustrial and Manufacturing Engineering: 1 works · 4.1% of their workAerospace Engineering: 1 works · 2.7% of their workComputer Science: 10 works · 38.4% of their workArtificial Intelligence: 7 works · 27.4% of their workComputational Theory and Mathematics: 3 works · 11.0% of their workMathematics: 2 works · 6.8% of their workNumerical Analysis: 2 works · 6.8% of their workEverything else: 3 works · 11.0% of their workTHEIR WORKCang-Pu Wu27works
Physical Sciences89%

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. Engineering1243.8%
    2. Computer Science1038.4%
    3. Mathematics26.8%
  2. Everything else311.0%
  1. 1Control and Systems Engineering37% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Computational Theory and Mathematics11% of their works
  4. 4Numerical Analysis7% of their works
  5. 5Industrial and Manufacturing Engineering4% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Cang-Pu Wu's research?

The keywords of their largest research topics: Neural Networks, Nonlinear Systems, Optimization, Genetic Algorithm, Internet of Things, Backpropagation Learning, Self-Organizing Maps and Model Predictive Control.

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 21 words, with their numbers
  1. Neural Networks193 topics
  2. Nonlinear Systems112 topics
  3. Optimization112 topics
  4. Genetic Algorithm102 topics
  5. Internet of Things102 topics
  6. Backpropagation Learning91 topic
  7. Self-Organizing Maps91 topic
  8. Model Predictive Control71 topic
  9. Robust Control71 topic
  10. PID Control61 topic
  11. Support Vector Machines61 topic
  12. Adaptive Dynamic Programming41 topic
  13. Aggregate Production Planning41 topic
  14. Fuzzy Goal Programming41 topic
  15. Fuzzy Logic Systems41 topic
  16. Iterative Algorithms41 topic
  17. Monitoring System41 topic
  18. Neural Network41 topic
  19. Nonlinear Operators41 topic
  20. Reinforcement Learning41 topic
  21. Type-2 Fuzzy Sets41 topic

Where does Cang-Pu Wu work?

Cang-Pu Wu's main affiliation in the publication record is Beijing Institute of Technology, China.

How many publications and citations does Cang-Pu Wu have?

OpenAlex counts 27 works and 52 citations for Cang-Pu Wu, an h-index of 4, ranking #7,092,455 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.

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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