Kai Li
Kai Li publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Image and Video Retrieval Techniques, Face and Expression Recognition and Video Surveillance and Tracking Methods.
- World rank
- #1,140,460 of 7,710,434 ranked researchers
- Rank in United States
- #367,651 of 1,627,098
- Works
- 79
- Citations
- 8.6k
- Citations per work
- 108.3
What does Kai Li research?
Kai Li's work is mostly in Computer Science (63%), Engineering (6%), Neuroscience (3%).
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 Sciences5569.5%
- Computer Science5063.4%
- Engineering56.1%
- Everything else2025.3%
- Life Sciences22.6%
- Neuroscience22.6%
- Health Sciences22.6%
- Medicine22.6%
- 1Computer Vision and Pattern Recognition47% of their works
- 2Artificial Intelligence13% of their works
- 3Media Technology6% of their works
- 4Signal Processing3% of their works
- 5Cognitive Neuroscience3% of their works
- 6Radiology, Nuclear Medicine and Imaging3% of their works
Research topics
Which keywords describe Kai Li's research?
The keywords of their largest research topics: Deep Learning, Sparse Representation, Neural Networks, Convolutional Neural Networks, Convolutional Networks, Dimensionality Reduction, Face Recognition and Feature Matching.
- Object Detection
- Action Recognition
- Image Captioning
- Image
- Domain Adaptation
- Object Tracking
- Feature Matching
- Dimensionality Reduction
- Convolutional Neural Networks
- Sparse Representation
- Deep Learning
- Neural Networks
- Convolutional Networks
- Face Recognition
- Local Descriptors
- Visual Tracking
- Transfer Learning
- Super-Resolution
- Visual Question Answering
- Image Recognition
- Pose Estimation
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
- Deep Learning566 topics
- Sparse Representation232 topics
- Neural Networks192 topics
- Convolutional Neural Networks182 topics
- Convolutional Networks162 topics
- Dimensionality Reduction131 topic
- Face Recognition131 topic
- Feature Matching131 topic
- Local Descriptors131 topic
- Object Tracking121 topic
- Visual Tracking121 topic
- Domain Adaptation111 topic
- Transfer Learning111 topic
- Image101 topic
- Super-Resolution101 topic
- Image Captioning91 topic
- Visual Question Answering91 topic
- Action Recognition61 topic
- Image Recognition61 topic
- Object Detection61 topic
- Pose Estimation61 topic
Where does Kai Li work?
Kai Li's main affiliation in the publication record is Northeastern University, United States.
How many publications and citations does Kai Li have?
OpenAlex counts 79 works and 8,554 citations for Kai Li, an h-index of 21, ranking #1,140,460 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 Kai Li
- kai-li-princeton-university-united-states-2
- kai-li-university-of-british-columbia
- kai-li-princeton-university
- kai-li-kunming-university-of-science-and-technology
- kai-li-shenzhen-university
- kai-li-chinese-academy-of-sciences
- kai-li-harbin-institute-of-technology
- kai-li-baylor-college-of-medicine
- kai-li-harbin-institute-of-technology-china-2
- kai-li-chinese-academy-of-sciences-china
- kai-li-zhengzhou-university
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 Kai Li. 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.