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Researcher · Daqing Normal University · China

Fang Lin

Fang Lin publishes mostly in Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, on topics such as Remote-Sensing Image Classification, Evolutionary Algorithms and Applications and Metaheuristic Optimization Algorithms Research.

ORCID 0000-0002-2961-0123 OpenAlex
World rank
#6,462,482
of 7,710,434 ranked researchers
Rank in China
#887,899
of 978,568
Works
19
Citations
98
Citations per work
5.2
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Fang Lin

What does Fang Lin research?

Fang Lin's work is mostly in Computer Science (38%), Engineering (14%), Agricultural and Biological Sciences (7%).

Physical Sciences: 11 works · 58.2% of their workComputer Science: 7 works · 38.2% of their workArtificial Intelligence: 4 works · 21.8% of their workComputer Vision and Pattern Recognition: 2 works · 10.9% of their workComputational Theory and Mathematics: 1 works · 5.5% of their workEngineering: 3 works · 14.5% of their workMedia Technology: 3 works · 14.5% of their workEarth and Planetary Sciences: 1 works · 5.5% of their workAtmospheric Science: 1 works · 5.5% of their workEverything else: 7 works · 34.5% of their workLife Sciences: 1 works · 7.3% of their workAgricultural and Biological Sciences: 1 works · 7.3% of their workPlant Science: 1 works · 7.3% of their workTHEIR WORKFang Lin19works
Life Sciences7%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 Science738.2%
    2. Engineering314.5%
    3. Earth and Planetary Sciences15.5%
  2. Everything else734.5%
    1. Agricultural and Biological Sciences17.3%
  1. 1Artificial Intelligence22% of their works
  2. 2Media Technology14% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Plant Science7% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Atmospheric Science6% of their works

Research topics

Which keywords describe Fang Lin's research?

The keywords of their largest research topics: Deep Learning, Evolutionary Algorithms, Classification, Hyperspectral, Multiobjective Optimization, Particle Swarm Optimization, Wavelet Transform and Change Detection.

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 24 words, with their numbers
  1. Deep Learning103 topics
  2. Evolutionary Algorithms93 topics
  3. Classification82 topics
  4. Hyperspectral82 topics
  5. Multiobjective Optimization62 topics
  6. Particle Swarm Optimization62 topics
  7. Wavelet Transform62 topics
  8. Change Detection51 topic
  9. Image Analysis51 topic
  10. Machine Learning52 topics
  11. Ant Colony Optimization31 topic
  12. Differential Evolution31 topic
  13. Feature Selection31 topic
  14. Genetic Algorithm31 topic
  15. Genetic Programming31 topic
  16. Image Denoising31 topic
  17. Image Fusion31 topic
  18. Multispectral31 topic
  19. Sparse Representations31 topic
  20. Surrogate Modeling31 topic
  21. Nonlinear Estimation21 topic
  22. Particle Filters21 topic
  23. Plant Disease Detection21 topic
  24. Smart Farming21 topic

Where does Fang Lin work?

Fang Lin's main affiliation in the publication record is Daqing Normal University, China.

How many publications and citations does Fang Lin have?

OpenAlex counts 19 works and 98 citations for Fang Lin, an h-index of 6, ranking #6,462,482 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 Fang Lin

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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