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Researcher · Space Engineering University · China

Shengliang Fang

Shengliang Fang publishes mostly in Plant Science, Aerospace Engineering and Artificial Intelligence, on topics such as Wireless Signal Modulation Classification, Rice Cultivation and Yield Improvement and GABA and Rice Research.

ORCID 0000-0001-8758-6312 OpenAlex
World rank
#1,919,820
of 7,710,434 ranked researchers
Rank in China
#294,067
of 978,568
Works
72
Citations
569
Citations per work
7.9
h-index
13
i10-index 20Top 36% in Plant Science
Shengliang Fang

What does Shengliang Fang research?

Shengliang Fang's work is mostly in Computer Science (32%), Engineering (26%), Agricultural and Biological Sciences (20%).

Physical Sciences: 41 works · 57.6% of their workComputer Science: 23 works · 31.5% of their workArtificial Intelligence: 10 works · 14.1% of their workComputer Networks and Communications: 7 works · 9.2% of their workComputer Vision and Pattern Recognition: 6 works · 8.2% of their workEngineering: 19 works · 26.1% of their workAerospace Engineering: 13 works · 17.4% of their workElectrical and Electronic Engineering: 6 works · 8.7% of their workEverything else: 16 works · 22.3% of their workLife Sciences: 14 works · 20.1% of their workAgricultural and Biological Sciences: 14 works · 20.1% of their workPlant Science: 14 works · 20.1% of their workTHEIR WORKShengliang Fang72works
Life Sciences20%Physical Sciences58%

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. Computer Science2331.5%
    2. Engineering1926.1%
  2. Everything else1622.3%
    1. Agricultural and Biological Sciences1420.1%
  1. 1Plant Science20% of their works
  2. 2Aerospace Engineering17% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Computer Networks and Communications9% of their works
  5. 5Electrical and Electronic Engineering9% of their works
  6. 6Computer Vision and Pattern Recognition8% of their works

Research topics

Which keywords describe Shengliang Fang's research?

The keywords of their largest research topics: Deep Learning, Modulation Classification, Wireless Communications, Rice, Water Management, Gamma-Aminobutyric Acid, Metabolism 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. Deep Learning313 topics
  2. Modulation Classification211 topic
  3. Wireless Communications211 topic
  4. Rice161 topic
  5. Water Management161 topic
  6. Gamma-Aminobutyric Acid111 topic
  7. Metabolism111 topic
  8. Convolutional Neural Networks102 topics
  9. Signal Processing102 topics
  10. Compressed Sensing71 topic
  11. Sparse Representation71 topic
  12. Cognitive Radio51 topic
  13. Image Denoising51 topic
  14. MIMO Radar51 topic
  15. Micro-Doppler Effect51 topic
  16. Sparse Representations51 topic
  17. Spectrum Sensing51 topic
  18. Synthetic Aperture Radar51 topic
  19. Waveform Design51 topic

Where does Shengliang Fang work?

Shengliang Fang's main affiliation in the publication record is Space Engineering University, China.

How many publications and citations does Shengliang Fang have?

OpenAlex counts 72 works and 569 citations for Shengliang Fang, an h-index of 13, ranking #1,919,820 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.

Discussion

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