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Researcher · National Taiwan Ocean University · Taiwan

Pei-Hwa Huang

Pei-Hwa Huang publishes mostly in Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, on topics such as Power System Optimization and Stability, Power Systems Fault Detection and HVDC Systems and Fault Protection.

OpenAlex
World rank
#4,329,190
of 7,710,434 ranked researchers
Rank in Taiwan
#32,187
of 57,035
Works
50
Citations
363
Citations per work
7.3
h-index
9
i10-index 9Top 59% in Electrical and Electronic Engineering
Pei-Hwa Huang

What does Pei-Hwa Huang research?

Pei-Hwa Huang's work is mostly in Engineering (66%), Computer Science (11%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 40 works · 79.4% of their workEngineering: 33 works · 66.0% of their workElectrical and Electronic Engineering: 22 works · 43.3% of their workControl and Systems Engineering: 11 works · 22.7% of their workComputer Science: 5 works · 10.7% of their workArtificial Intelligence: 3 works · 6.7% of their workComputer Networks and Communications: 2 works · 4.0% of their workEnergy: 1 works · 2.7% of their workEnergy Engineering and Power Technology: 1 works · 2.7% of their workEverything else: 9 works · 17.9% of their workLife Sciences: 1 works · 2.7% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.7% of their workMolecular Biology: 1 works · 2.7% of their workTHEIR WORKPei-Hwa Huang50works
Life Sciences3%Physical Sciences79%

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. Engineering3366.0%
    2. Computer Science510.7%
    3. Energy12.7%
  2. Everything else917.9%
    1. Biochemistry, Genetics and Molecular Biology12.7%
  1. 1Electrical and Electronic Engineering43% of their works
  2. 2Control and Systems Engineering23% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4Computer Networks and Communications4% of their works
  5. 5Energy Engineering and Power Technology3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Pei-Hwa Huang's research?

The keywords of their largest research topics: Control Systems, Smart Grid Applications, Phasor Measurement Units, Power System Stability, Fault Detection, Distributed Generation, Voltage Control and Power Electronics.

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 23 words, with their numbers
  1. Control Systems302 topics
  2. Smart Grid Applications302 topics
  3. Phasor Measurement Units241 topic
  4. Power System Stability241 topic
  5. Fault Detection182 topics
  6. Distributed Generation162 topics
  7. Voltage Control162 topics
  8. Power Electronics152 topics
  9. Renewable Energy122 topics
  10. HVDC Transmission91 topic
  11. Microgrid91 topic
  12. Modular Multilevel Converters91 topic
  13. Protection91 topic
  14. Distribution Systems71 topic
  15. Optimal Power Flow71 topic
  16. Distributed Power Generation61 topic
  17. Fuzzy Logic Systems61 topic
  18. Microgrid Control61 topic
  19. Type-2 Fuzzy Sets61 topic
  20. Cloud Computing51 topic
  21. Networked Control Systems51 topic
  22. Smart Grid51 topic
  23. Stability Analysis51 topic

Where does Pei-Hwa Huang work?

Pei-Hwa Huang's main affiliation in the publication record is National Taiwan Ocean University, Taiwan.

How many publications and citations does Pei-Hwa Huang have?

OpenAlex counts 50 works and 363 citations for Pei-Hwa Huang, an h-index of 9, ranking #4,329,190 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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