Cheng Bian
Cheng Bian publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology, on topics such as Retinal Imaging and Analysis, Glaucoma and retinal disorders and Medical Image Segmentation Techniques.
- World rank
- #234,737 of 7,710,434 ranked researchers
- Rank in China
- #24,500 of 978,568
- Works
- 50
- Citations
- 2.4k
- Citations per work
- 48.9
What does Cheng Bian research?
Cheng Bian's work is mostly in Medicine (47%), Computer Science (33%), Engineering (5%).
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
- Health Sciences2346.9%
- Medicine2346.9%
- Physical Sciences1938.2%
- Computer Science1733.4%
- Engineering24.8%
- Everything else714.9%
- 1Radiology, Nuclear Medicine and Imaging27% of their works
- 2Computer Vision and Pattern Recognition22% of their works
- 3Ophthalmology14% of their works
- 4Artificial Intelligence12% of their works
- 5Cardiology and Cardiovascular Medicine5% of their works
- 6Biomedical Engineering5% of their works
Research topics
Which keywords describe Cheng Bian's research?
The keywords of their largest research topics: Deep Learning, Glaucoma, Optic Nerve, Diabetic Retinopathy, Macular Degeneration, Convolutional Neural Networks, Transfer Learning and Medical Image Analysis.
- Histopathology Images
- Object Detection
- Medical Imaging
- Domain Adaptation
- Retinal Pigment Epithelium
- Image Segmentation
- Retinal Ganglion Cells
- Vessel Segmentation
- Medical Image Analysis
- Convolutional Neural Networks
- Diabetic Retinopathy
- Glaucoma
- Deep Learning
- Optic Nerve
- Macular Degeneration
- Transfer Learning
- Retinal Disease
- Intraocular Pressure
- Graph Cuts
- Oxidative Stress
- COVID-19
- Few-Shot Learning
- Image Recognition
- Computer-Aided Detection
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 24 words, with their numbers
- Deep Learning515 topics
- Glaucoma282 topics
- Optic Nerve282 topics
- Diabetic Retinopathy272 topics
- Macular Degeneration272 topics
- Convolutional Neural Networks243 topics
- Transfer Learning182 topics
- Medical Image Analysis172 topics
- Retinal Disease171 topic
- Vessel Segmentation171 topic
- Intraocular Pressure111 topic
- Retinal Ganglion Cells111 topic
- Graph Cuts101 topic
- Image Segmentation101 topic
- Oxidative Stress101 topic
- Retinal Pigment Epithelium101 topic
- COVID-1991 topic
- Domain Adaptation91 topic
- Few-Shot Learning91 topic
- Medical Imaging91 topic
- Image Recognition81 topic
- Object Detection81 topic
- Computer-Aided Detection71 topic
- Histopathology Images71 topic
Where does Cheng Bian work?
Cheng Bian's main affiliation in the publication record is Tencent (China), China.
How many publications and citations does Cheng Bian have?
OpenAlex counts 50 works and 2,445 citations for Cheng Bian, an h-index of 25, ranking #234,737 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.
Other researchers named Cheng Bian
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