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Researcher · Tencent (China) · China

Donghuan Lu

Donghuan Lu publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Retinal Imaging and Analysis, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.

ORCID 0000-0002-8399-7410 OpenAlex
World rank
#887,703
of 7,710,434 ranked researchers
Rank in China
#122,225
of 978,568
Works
89
Citations
2.8k
Citations per work
31.9
h-index
23
i10-index 34Top 9.7% in Computer Vision and Pattern Recognition
Donghuan Lu

What does Donghuan Lu research?

Donghuan Lu's work is mostly in Computer Science (39%), Medicine (26%), Engineering (7%).

Physical Sciences: 41 works · 46.0% of their workComputer Science: 34 works · 38.7% of their workComputer Vision and Pattern Recognition: 22 works · 24.9% of their workArtificial Intelligence: 12 works · 13.8% of their workEngineering: 6 works · 7.3% of their workBiomedical Engineering: 6 works · 7.3% of their workHealth Sciences: 23 works · 25.7% of their workMedicine: 23 works · 25.7% of their workRadiology, Nuclear Medicine and Imaging: 18 works · 20.7% of their workOphthalmology: 4 works · 5.0% of their workEverything else: 20 works · 22.9% of their workLife Sciences: 5 works · 5.4% of their workNeuroscience: 5 works · 5.4% of their workNeurology: 5 works · 5.4% of their workTHEIR WORKDonghuan Lu89works
Life Sciences5%Physical Sciences46%Health Sciences26%

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 Science3438.7%
    2. Engineering67.3%
    1. Medicine2325.7%
  3. Everything else2022.9%
    1. Neuroscience55.4%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Radiology, Nuclear Medicine and Imaging21% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Biomedical Engineering7% of their works
  5. 5Neurology5% of their works
  6. 6Ophthalmology5% of their works

Research topics

Which keywords describe Donghuan Lu's research?

The keywords of their largest research topics: Deep Learning, Transfer Learning, Convolutional Neural Networks, Diabetic Retinopathy, Image Segmentation, Retinal Disease, Domain Adaptation and Few-Shot 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. 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. Deep Learning836 topics
  2. Transfer Learning423 topics
  3. Convolutional Neural Networks292 topics
  4. Diabetic Retinopathy221 topic
  5. Image Segmentation222 topics
  6. Retinal Disease221 topic
  7. Domain Adaptation211 topic
  8. Few-Shot Learning211 topic
  9. Medical Imaging212 topics
  10. Image Recognition171 topic
  11. Object Detection171 topic
  12. High-Resolution Imaging141 topic
  13. Optical Coherence Tomography141 topic
  14. Graph Cuts131 topic
  15. Medical Image Analysis131 topic
  16. COVID-19121 topic
  17. Chest X-Ray121 topic
  18. Image Captioning101 topic
  19. Visual Question Answering101 topic
  20. Brain Tumor91 topic
  21. MRI91 topic

Where does Donghuan Lu work?

Donghuan Lu's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Donghuan Lu have?

OpenAlex counts 89 works and 2,837 citations for Donghuan Lu, an h-index of 23, ranking #887,703 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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