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Researcher · University of Florida · United States

LiMin Fu

LiMin Fu publishes mostly in Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, on topics such as Neural Networks and Applications, AI-based Problem Solving and Planning and Machine Learning and Algorithms.

OpenAlex
World rank
#1,474,733
of 7,710,434 ranked researchers
Rank in United States
#463,156
of 1,627,098
Works
57
Citations
17k
Citations per work
303.8
h-index
20
i10-index 26Top 13% in Artificial Intelligence
LiMin Fu

What does LiMin Fu research?

LiMin Fu's work is mostly in Computer Science (60%), Biochemistry, Genetics and Molecular Biology (25%), Neuroscience (2%).

Physical Sciences: 34 works · 60.5% of their workComputer Science: 34 works · 60.5% of their workArtificial Intelligence: 29 works · 51.4% of their workComputational Theory and Mathematics: 3 works · 4.9% of their workComputer Vision and Pattern Recognition: 2 works · 4.2% of their workLife Sciences: 15 works · 27.1% of their workBiochemistry, Genetics and Molecular Biology: 14 works · 25.0% of their workMolecular Biology: 13 works · 22.2% of their workGenetics: 2 works · 2.8% of their workNeuroscience: 1 works · 2.1% of their workCognitive Neuroscience: 1 works · 2.1% of their workEverything else: 7 works · 12.4% of their workTHEIR WORKLiMin Fu57works
Life Sciences27%Physical Sciences60%

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 Science3460.5%
    1. Biochemistry, Genetics and Molecular Biology1425.0%
    2. Neuroscience12.1%
  3. Everything else712.4%
  1. 1Artificial Intelligence51% of their works
  2. 2Molecular Biology22% of their works
  3. 3Computational Theory and Mathematics5% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Genetics3% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe LiMin Fu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Self-Organizing Maps, Machine Learning, Feature Selection, Heuristic Search, Planning Systems and Active Learning.

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. Deep Learning332 topics
  2. Neural Networks251 topic
  3. Self-Organizing Maps251 topic
  4. Machine Learning183 topics
  5. Feature Selection122 topics
  6. Heuristic Search101 topic
  7. Planning Systems101 topic
  8. Active Learning81 topic
  9. Semi-Supervised Learning81 topic
  10. Granular Computing71 topic
  11. RNA-Seq71 topic
  12. Rough Sets71 topic
  13. sequence alignment71 topic
  14. Fuzzy Logic Systems51 topic
  15. Gene Expression51 topic
  16. Microarray51 topic
  17. Type-2 Fuzzy Sets51 topic
  18. Bayesian Networks41 topic
  19. Causal Inference41 topic

Where does LiMin Fu work?

LiMin Fu's main affiliation in the publication record is University of Florida, United States.

How many publications and citations does LiMin Fu have?

OpenAlex counts 57 works and 17,316 citations for LiMin Fu, an h-index of 20, ranking #1,474,733 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 LiMin Fu

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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