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Researcher · The University of Texas at Dallas · United States

Cong Feng

Cong Feng publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Energy Load and Power Forecasting, Solar Radiation and Photovoltaics and Electric Power System Optimization.

ORCID 0000-0003-2866-0716 OpenAlex
World rank
#722,746
of 7,710,434 ranked researchers
Rank in United States
#243,589
of 1,627,098
Works
178
Citations
3.3k
Citations per work
18.8
h-index
30
i10-index 64Top 7.3% in Electrical and Electronic Engineering
Cong Feng

What does Cong Feng research?

Cong Feng's work is mostly in Engineering (31%), Computer Science (22%).

Physical Sciences: 94 works · 52.6% of their workEngineering: 55 works · 30.9% of their workElectrical and Electronic Engineering: 41 works · 23.1% of their workBiomedical Engineering: 7 works · 4.1% of their workControl and Systems Engineering: 7 works · 3.7% of their workComputer Science: 39 works · 21.7% of their workComputer Vision and Pattern Recognition: 18 works · 10.2% of their workArtificial Intelligence: 15 works · 8.4% of their workComputer Networks and Communications: 6 works · 3.1% of their workEverything else: 84 works · 47.4% of their workTHEIR WORKCong Feng178works
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. Engineering5530.9%
    2. Computer Science3921.7%
  2. Everything else8447.4%
  1. 1Electrical and Electronic Engineering23% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Cong Feng's research?

The keywords of their largest research topics: Renewable Energy, Deep Learning, Electricity Price Forecasting, Load Forecasting, Solar Energy, Forecasting, Solar Radiation and Economic Dispatch.

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. Renewable Energy844 topics
  2. Deep Learning512 topics
  3. Electricity Price Forecasting401 topic
  4. Load Forecasting401 topic
  5. Solar Energy372 topics
  6. Forecasting241 topic
  7. Solar Radiation241 topic
  8. Economic Dispatch221 topic
  9. Unit Commitment221 topic
  10. Maximum Power Point Tracking131 topic
  11. Photovoltaic Arrays131 topic
  12. Reversible Data Embedding111 topic
  13. Steganography111 topic
  14. H.264/AVC101 topic
  15. Video Coding101 topic
  16. Log Analysis81 topic
  17. Performance Prediction81 topic
  18. District Heating71 topic
  19. Energy Systems71 topic

Where does Cong Feng work?

Cong Feng's main affiliation in the publication record is The University of Texas at Dallas, United States.

How many publications and citations does Cong Feng have?

OpenAlex counts 178 works and 3,340 citations for Cong Feng, an h-index of 30, ranking #722,746 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 Cong Feng

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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