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Researcher · Chinese Academy of Sciences · China

Hang Ran

Hang Ran publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Memory and Neural Computing and Machine Learning and ELM.

ORCID 0000-0003-1759-6085 OpenAlex
World rank
#2,451,404
of 7,710,434 ranked researchers
Rank in China
#382,856
of 978,568
Works
29
Citations
409
Citations per work
14.1
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Hang Ran

What does Hang Ran research?

Hang Ran's work is mostly in Computer Science (40%), Agricultural and Biological Sciences (11%), Biochemistry, Genetics and Molecular Biology (11%).

Physical Sciences: 15 works · 50.8% of their workComputer Science: 12 works · 39.7% of their workArtificial Intelligence: 8 works · 27.0% of their workComputer Vision and Pattern Recognition: 4 works · 12.7% of their workEngineering: 3 works · 11.1% of their workElectrical and Electronic Engineering: 3 works · 11.1% of their workEverything else: 8 works · 27.0% of their workLife Sciences: 6 works · 22.2% of their workAgricultural and Biological Sciences: 3 works · 11.1% of their workAgronomy and Crop Science: 2 works · 6.3% of their workAnimal Science and Zoology: 1 works · 4.8% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 11.1% of their workMolecular Biology: 3 works · 11.1% of their workTHEIR WORKHang Ran29works
Life Sciences22%Physical Sciences51%

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 Science1239.7%
    2. Engineering311.1%
  2. Everything else827.0%
    1. Agricultural and Biological Sciences311.1%
    2. Biochemistry, Genetics and Molecular Biology311.1%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Molecular Biology11% of their works
  5. 5Agronomy and Crop Science6% of their works
  6. 6Animal Science and Zoology5% of their works

Research topics

Which keywords describe Hang Ran's research?

The keywords of their largest research topics: Neural Networks, Domain Adaptation, Transfer Learning, Memristor, Neuromorphic Computing, Extreme Learning Machine, Feedforward Networks 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.

All 17 words, with their numbers
  1. Neural Networks92 topics
  2. Domain Adaptation61 topic
  3. Transfer Learning61 topic
  4. Memristor51 topic
  5. Neuromorphic Computing51 topic
  6. Extreme Learning Machine41 topic
  7. Feedforward Networks41 topic
  8. Convolutional Neural Networks31 topic
  9. Deep Learning31 topic
  10. Gesneriaceae31 topic
  11. Methane Production31 topic
  12. Neuromorphic Photonics31 topic
  13. Photonic Reservoir Computing31 topic
  14. RNA-Seq31 topic
  15. Ruminant Nutrition31 topic
  16. phylogenetic reconstruction31 topic
  17. sequence alignment31 topic

Where does Hang Ran work?

Hang Ran's main affiliation in the publication record is Chinese Academy of Sciences, China.

How many publications and citations does Hang Ran have?

OpenAlex counts 29 works and 409 citations for Hang Ran, an h-index of 6, ranking #2,451,404 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.

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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