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Researcher · Northeast Forestry University · China

Qingfa Li

Qingfa Li publishes mostly in Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering, on topics such as Neural Networks and Applications, Sparse and Compressive Sensing Techniques and Advanced materials and composites.

ORCID 0000-0001-6211-5098 OpenAlex
World rank
#4,464,139
of 7,710,434 ranked researchers
Rank in China
#683,588
of 978,568
Works
17
Citations
167
Citations per work
9.8
h-index
5
i10-index 5Top 89% in Electrical and Electronic Engineering
Qingfa Li

What does Qingfa Li research?

Qingfa Li's work is mostly in Engineering (39%), Computer Science (24%).

Physical Sciences: 11 works · 63.2% of their workEngineering: 7 works · 38.8% of their workElectrical and Electronic Engineering: 4 works · 22.4% of their workComputational Mechanics: 1 works · 8.2% of their workMechanical Engineering: 1 works · 8.2% of their workComputer Science: 4 works · 24.4% of their workArtificial Intelligence: 2 works · 12.2% of their workComputer Networks and Communications: 1 works · 6.1% of their workComputer Vision and Pattern Recognition: 1 works · 6.1% of their workEverything else: 6 works · 36.8% of their workTHEIR WORKQingfa Li17works
Physical Sciences63%

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. Engineering738.8%
    2. Computer Science424.4%
  2. Everything else636.8%
  1. 1Electrical and Electronic Engineering22% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Mechanical Engineering8% of their works
  4. 4Computational Mechanics8% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Computer Vision and Pattern Recognition6% of their works

Research topics

Which keywords describe Qingfa Li's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Backpropagation Learning, Mechanical Properties, Self-Organizing Maps, Sintering, Cemented Carbides and Compressed Sensing.

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 20 words, with their numbers
  1. Neural Networks93 topics
  2. Deep Learning72 topics
  3. Backpropagation Learning51 topic
  4. Mechanical Properties52 topics
  5. Self-Organizing Maps51 topic
  6. Sintering52 topics
  7. Cemented Carbides31 topic
  8. Compressed Sensing31 topic
  9. Nanostructured Materials31 topic
  10. Sparse Representation31 topic
  11. Ceramic Materials21 topic
  12. Complex Networks21 topic
  13. High-Temperature Applications21 topic
  14. Image Denoising21 topic
  15. Memristor21 topic
  16. Nanoindentation21 topic
  17. Neuromorphic Computing21 topic
  18. Sparse Representations21 topic
  19. Synchronization21 topic
  20. Thin Films21 topic

Where does Qingfa Li work?

Qingfa Li's main affiliation in the publication record is Northeast Forestry University, China.

How many publications and citations does Qingfa Li have?

OpenAlex counts 17 works and 167 citations for Qingfa Li, an h-index of 5, ranking #4,464,139 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.

Discussion

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