Junzhi Ning
Junzhi Ning publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Generative Adversarial Networks and Image Synthesis, Machine Learning in Healthcare and Artificial Intelligence in Healthcare and Education.
- World rank
- #5,304,733 of 7,710,434 ranked researchers
- Rank in ??
- #11,693 of 21,892
- Works
- 28
- Citations
- 6
- Citations per work
- 0.2
What does Junzhi Ning research?
Junzhi Ning's work is mostly in Computer Science (52%), Medicine (28%), Biochemistry, Genetics and Molecular Biology (7%).
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
- Physical Sciences1552.0%
- Computer Science1552.0%
- Health Sciences828.0%
- Medicine828.0%
- Everything else413.3%
- Life Sciences26.7%
- 1Computer Vision and Pattern Recognition32% of their works
- 2Artificial Intelligence20% of their works
- 3Radiology, Nuclear Medicine and Imaging19% of their works
- 4Health Informatics9% of their works
- 5Molecular Biology4% of their works
- 6Biophysics3% of their works
Research topics
- Generative Adversarial Networks and Image Synthesis
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Image and Video Quality Assessment
Which keywords describe Junzhi Ning's research?
The keywords of their largest research topics: Deep Learning, Precision Medicine, Machine Learning, Healthcare, Medical Imaging, Neural Networks, Predictive Modeling and Convolutional Neural Networks.
- Visual Question Answering
- Object Detection
- Image Quality Assessment
- Radiomics
- Medical Image Analysis
- Patient Similarity
- Clinical Decision Support
- Image Synthesis
- Convolutional Neural Networks
- Neural Networks
- Healthcare
- Precision Medicine
- Deep Learning
- Machine Learning
- Medical Imaging
- Predictive Modeling
- Generative Adversarial Networks
- Artificial Intelligence
- Electronic Health Records
- Histopathology Images
- Quantitative Analysis
- Image Captioning
- Image Recognition
- Perceptual Quality
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 Learning326 topics
- Precision Medicine193 topics
- Machine Learning173 topics
- Healthcare142 topics
- Medical Imaging122 topics
- Neural Networks122 topics
- Predictive Modeling122 topics
- Convolutional Neural Networks92 topics
- Generative Adversarial Networks81 topic
- Image Synthesis81 topic
- Artificial Intelligence71 topic
- Clinical Decision Support71 topic
- Electronic Health Records71 topic
- Patient Similarity71 topic
- Histopathology Images51 topic
- Medical Image Analysis51 topic
- Quantitative Analysis51 topic
- Radiomics51 topic
- Image Captioning41 topic
- Image Quality Assessment41 topic
- Image Recognition41 topic
- Object Detection41 topic
- Perceptual Quality41 topic
- Visual Question Answering41 topic
Where does Junzhi Ning work?
Junzhi Ning's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.
How many publications and citations does Junzhi Ning have?
OpenAlex counts 28 works and 6 citations for Junzhi Ning, an h-index of 1, ranking #5,304,733 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
Ask a question or share a note about Junzhi Ning. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.