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Researcher · Harbin Normal University · China

Peng Han

Peng Han publishes mostly in Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Fault Detection and Control Systems, Machine Fault Diagnosis Techniques and Silicon Carbide Semiconductor Technologies.

ORCID 0000-0002-2505-5601 OpenAlex
World rank
#1,797,692
of 7,710,434 ranked researchers
Rank in China
#273,761
of 978,568
Works
65
Citations
443
Citations per work
6.8
h-index
11
i10-index 12Top 35% in Control and Systems Engineering
Peng Han

What does Peng Han research?

Peng Han's work is mostly in Engineering (42%), Computer Science (22%).

Physical Sciences: 42 works · 64.2% of their workEngineering: 28 works · 42.4% of their workControl and Systems Engineering: 12 works · 18.4% of their workElectrical and Electronic Engineering: 9 works · 13.4% of their workCivil and Structural Engineering: 4 works · 5.6% of their workMechanical Engineering: 3 works · 5.0% of their workComputer Science: 14 works · 21.8% of their workArtificial Intelligence: 11 works · 16.2% of their workInformation Systems: 4 works · 5.6% of their workEverything else: 23 works · 35.8% of their workTHEIR WORKPeng Han65works
Physical Sciences64%

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. Engineering2842.4%
    2. Computer Science1421.8%
  2. Everything else2335.8%
  1. 1Control and Systems Engineering18% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Electrical and Electronic Engineering13% of their works
  4. 4Information Systems6% of their works
  5. 5Civil and Structural Engineering6% of their works
  6. 6Mechanical Engineering5% of their works

Research topics

Which keywords describe Peng Han's research?

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

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 20 words, with their numbers
  1. Machine Learning213 topics
  2. Fault Detection131 topic
  3. Process Monitoring131 topic
  4. Deep Learning82 topics
  5. Neural Networks82 topics
  6. Thermal Management82 topics
  7. Empirical Mode Decomposition51 topic
  8. Fault Diagnosis51 topic
  9. Reliability51 topic
  10. Wide Bandgap Semiconductors51 topic
  11. Backpropagation Learning31 topic
  12. Battery Management Systems31 topic
  13. Bayesian Networks31 topic
  14. Causal Inference31 topic
  15. Fuzzy Logic Systems31 topic
  16. Homomorphic Encryption31 topic
  17. Identity-Based Encryption31 topic
  18. Lithium-ion Batteries31 topic
  19. Self-Organizing Maps31 topic
  20. Type-2 Fuzzy Sets31 topic

Where does Peng Han work?

Peng Han's main affiliation in the publication record is Harbin Normal University, China.

How many publications and citations does Peng Han have?

OpenAlex counts 65 works and 443 citations for Peng Han, an h-index of 11, ranking #1,797,692 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 Han

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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