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Researcher · Wuhan Donghu University · China

Aimin Pan

Aimin Pan publishes mostly in Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Generative Adversarial Networks and Image Synthesis, Topic Modeling and Peer-to-Peer Network Technologies.

ORCID 0009-0004-9823-1436 OpenAlex
World rank
#2,297,333
of 7,710,434 ranked researchers
Rank in China
#357,364
of 978,568
Works
63
Citations
598
Citations per work
9.5
h-index
11
i10-index 11Top 39% in Computer Networks and Communications
Aimin Pan

What does Aimin Pan research?

Aimin Pan's work is mostly in Computer Science (46%), Biochemistry, Genetics and Molecular Biology (10%), Engineering (6%).

Physical Sciences: 33 works · 51.9% of their workComputer Science: 29 works · 45.9% of their workComputer Networks and Communications: 11 works · 16.7% of their workComputer Vision and Pattern Recognition: 8 works · 12.5% of their workArtificial Intelligence: 7 works · 11.9% of their workInformation Systems: 3 works · 4.8% of their workEngineering: 4 works · 6.0% of their workElectrical and Electronic Engineering: 4 works · 6.0% of their workEverything else: 24 works · 38.6% of their workLife Sciences: 6 works · 9.5% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 9.5% of their workMolecular Biology: 6 works · 9.5% of their workTHEIR WORKAimin Pan63works
Life Sciences10%Physical Sciences52%

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 Science2945.9%
    2. Engineering46.0%
  2. Everything else2438.6%
    1. Biochemistry, Genetics and Molecular Biology69.5%
  1. 1Computer Networks and Communications17% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Molecular Biology10% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Aimin Pan's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Content Delivery, Prediction, Protein, Generative Adversarial Networks, Image Synthesis and Machine Translation.

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 21 words, with their numbers
  1. Neural Networks142 topics
  2. Deep Learning132 topics
  3. Content Delivery112 topics
  4. Prediction92 topics
  5. Protein92 topics
  6. Generative Adversarial Networks81 topic
  7. Image Synthesis81 topic
  8. Machine Translation61 topic
  9. Peer-to-Peer61 topic
  10. Scalable61 topic
  11. Word Representation61 topic
  12. Caching51 topic
  13. Convolutional Neural Networks51 topic
  14. Image Recognition51 topic
  15. Information-Centric Networking51 topic
  16. Molecular Dynamics51 topic
  17. Structure51 topic
  18. Amino Acid Composition41 topic
  19. Nonlinear Equations41 topic
  20. Rogue Waves41 topic
  21. Subcellular Localization41 topic

Where does Aimin Pan work?

Aimin Pan's main affiliation in the publication record is Wuhan Donghu University, China.

How many publications and citations does Aimin Pan have?

OpenAlex counts 63 works and 598 citations for Aimin Pan, an h-index of 11, ranking #2,297,333 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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