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Researcher · Tencent (China) · China

Munan Ning

Munan Ning publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.

ORCID 0009-0005-3418-085X OpenAlex
World rank
#538,418
of 7,710,434 ranked researchers
Rank in China
#67,407
of 978,568
Works
57
Citations
1.7k
Citations per work
29.5
h-index
18
i10-index 25Top 17% in Computer Vision and Pattern Recognition
Munan Ning

What does Munan Ning research?

Munan Ning's work is mostly in Computer Science (60%), Engineering (10%), Medicine (9%).

Physical Sciences: 40 works · 69.9% of their workComputer Science: 34 works · 60.1% of their workComputer Vision and Pattern Recognition: 20 works · 35.6% of their workArtificial Intelligence: 14 works · 24.5% of their workEngineering: 6 works · 9.8% of their workBiomedical Engineering: 3 works · 6.1% of their workElectrical and Electronic Engineering: 2 works · 3.7% of their workEverything else: 10 works · 18.4% of their workHealth Sciences: 5 works · 8.6% of their workMedicine: 5 works · 8.6% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 8.6% of their workLife Sciences: 2 works · 3.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 3.1% of their workCancer Research: 2 works · 3.1% of their workTHEIR WORKMunan Ning57works
Life Sciences3%Physical Sciences70%Health Sciences9%

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 Science3460.1%
    2. Engineering69.8%
  2. Everything else1018.4%
    1. Medicine58.6%
    1. Biochemistry, Genetics and Molecular Biology23.1%
  1. 1Computer Vision and Pattern Recognition36% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Radiology, Nuclear Medicine and Imaging9% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Cancer Research3% of their works

Research topics

Which keywords describe Munan Ning's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Domain Adaptation, Transfer Learning, Convolutional Neural Networks and Image Recognition.

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 18 words, with their numbers
  1. Deep Learning404 topics
  2. Neural Networks252 topics
  3. Image Captioning171 topic
  4. Visual Question Answering171 topic
  5. Domain Adaptation151 topic
  6. Transfer Learning151 topic
  7. Convolutional Neural Networks101 topic
  8. Image Recognition101 topic
  9. Machine Translation81 topic
  10. Word Representation81 topic
  11. Image Segmentation71 topic
  12. Medical Image Analysis71 topic
  13. Diabetic Retinopathy61 topic
  14. Retinal Disease61 topic
  15. Cancer51 topic
  16. Long Noncoding RNAs51 topic
  17. Neural Machine Translation51 topic
  18. Statistical Machine Translation51 topic

Where does Munan Ning work?

Munan Ning's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Munan Ning have?

OpenAlex counts 57 works and 1,679 citations for Munan Ning, an h-index of 18, ranking #538,418 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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