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Researcher · Southeast University · China

Peng Ding

Peng Ding publishes mostly in Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, on topics such as Machine Fault Diagnosis Techniques, Fault Detection and Control Systems and Advanced Neural Network Applications.

ORCID 0000-0003-4419-4858 OpenAlex
World rank
#292,861
of 7,710,434 ranked researchers
Rank in China
#32,130
of 978,568
Works
149
Citations
3.1k
Citations per work
20.9
h-index
29
i10-index 60Top 5.2% in Control and Systems Engineering
Peng Ding

What does Peng Ding research?

Peng Ding's work is mostly in Engineering (30%), Computer Science (23%).

Physical Sciences: 78 works · 52.6% of their workEngineering: 44 works · 29.7% of their workControl and Systems Engineering: 26 works · 17.4% of their workMechanical Engineering: 13 works · 8.6% of their workMechanics of Materials: 6 works · 3.7% of their workComputer Science: 34 works · 22.9% of their workComputer Vision and Pattern Recognition: 16 works · 11.0% of their workArtificial Intelligence: 11 works · 7.3% of their workSignal Processing: 7 works · 4.6% of their workEverything else: 71 works · 47.4% of their workTHEIR WORKPeng Ding149works
Physical Sciences53%

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. Engineering4429.7%
    2. Computer Science3422.9%
  2. Everything else7147.4%
  1. 1Control and Systems Engineering17% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Mechanical Engineering9% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Signal Processing5% of their works
  6. 6Mechanics of Materials4% of their works

Research topics

Which keywords describe Peng Ding's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Vibration Analysis, Empirical Mode Decomposition, Fault Diagnosis, Fault Detection, Process Monitoring and Convolutional Neural Networks.

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. Machine Learning663 topics
  2. Deep Learning583 topics
  3. Vibration Analysis502 topics
  4. Empirical Mode Decomposition381 topic
  5. Fault Diagnosis381 topic
  6. Fault Detection191 topic
  7. Process Monitoring191 topic
  8. Convolutional Neural Networks121 topic
  9. Gear Dynamics121 topic
  10. Image Recognition121 topic
  11. Mesh Stiffness121 topic
  12. Corrosion101 topic
  13. Steel101 topic
  14. Cone-Beam CT91 topic
  15. Dental Imaging91 topic
  16. Eddy Current Testing91 topic
  17. Non-Destructive Evaluation91 topic
  18. Feature Matching81 topic
  19. Local Descriptors81 topic

Where does Peng Ding work?

Peng Ding's main affiliation in the publication record is Southeast University, China.

How many publications and citations does Peng Ding have?

OpenAlex counts 149 works and 3,113 citations for Peng Ding, an h-index of 29, ranking #292,861 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 Peng Ding

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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