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Researcher · Shanghai Jiao Tong University · China

Fangxin Liu

Fangxin Liu publishes mostly in Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Advanced Memory and Neural Computing, Advanced Neural Network Applications and Ferroelectric and Negative Capacitance Devices.

ORCID 0000-0002-8769-293X OpenAlex
World rank
#1,674,342
of 7,710,434 ranked researchers
Rank in China
#253,073
of 978,568
Works
167
Citations
1.3k
Citations per work
7.8
h-index
18
i10-index 34Top 22% in Electrical and Electronic Engineering
Fangxin Liu

What does Fangxin Liu research?

Fangxin Liu's work is mostly in Computer Science (54%), Engineering (22%).

Physical Sciences: 126 works · 75.4% of their workComputer Science: 90 works · 53.9% of their workArtificial Intelligence: 33 works · 19.9% of their workComputer Vision and Pattern Recognition: 30 works · 18.1% of their workHardware and Architecture: 11 works · 6.6% of their workComputer Networks and Communications: 10 works · 5.9% of their workInformation Systems: 6 works · 3.4% of their workEngineering: 36 works · 21.5% of their workElectrical and Electronic Engineering: 36 works · 21.5% of their workEverything else: 41 works · 24.6% of their workTHEIR WORKFangxin Liu167works
Physical Sciences75%

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 Science9053.9%
    2. Engineering3621.5%
  2. Everything else4124.6%
  1. 1Electrical and Electronic Engineering22% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Computer Vision and Pattern Recognition18% of their works
  4. 4Hardware and Architecture7% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Fangxin Liu's research?

The keywords of their largest research topics: Neuromorphic Computing, Neural Networks, Deep Learning, Memristor, Resistive Switching, Convolutional Neural Networks, Image Recognition and Ferroelectricity.

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 19 words, with their numbers
  1. Neuromorphic Computing722 topics
  2. Neural Networks512 topics
  3. Deep Learning462 topics
  4. Memristor391 topic
  5. Resistive Switching391 topic
  6. Convolutional Neural Networks371 topic
  7. Image Recognition371 topic
  8. Ferroelectricity331 topic
  9. Hafnium Oxide331 topic
  10. Parallel Computing201 topic
  11. Performance Optimization201 topic
  12. Neural Machine Translation141 topic
  13. Statistical Machine Translation141 topic
  14. Machine Translation121 topic
  15. Word Representation121 topic
  16. Cortical Networks91 topic
  17. Feature Matching91 topic
  18. Local Descriptors91 topic
  19. Neuronal Oscillations91 topic

Where does Fangxin Liu work?

Fangxin Liu's main affiliation in the publication record is Shanghai Jiao Tong University, China.

How many publications and citations does Fangxin Liu have?

OpenAlex counts 167 works and 1,304 citations for Fangxin Liu, an h-index of 18, ranking #1,674,342 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.

Other researchers named Fangxin Liu

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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