Errui Ding
Errui Ding publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, on topics such as Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques and Generative Adversarial Networks and Image Synthesis.
- World rank
- #11,011 of 7,710,434 ranked researchers
- Rank in China
- #587 of 978,568
- Works
- 305
- Citations
- 12k
- Citations per work
- 39.2
What does Errui Ding research?
Errui Ding's work is mostly in Computer Science (78%), 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
- Physical Sciences25483.3%
- Computer Science23878.0%
- Engineering165.3%
- Everything else5116.7%
- 1Computer Vision and Pattern Recognition60% of their works
- 2Artificial Intelligence12% of their works
- 3Computer Graphics and Computer-Aided Design3% of their works
- 4Signal Processing3% of their works
- 5Media Technology3% of their works
- 6Aerospace Engineering3% of their works
Research topics
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Domain Adaptation and Few-Shot Learning
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
Which keywords describe Errui Ding's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Unsupervised Learning, Image Recognition, Object Detection, Convolutional Networks, Neural Networks and Representation Learning.
- Visual Tracking
- Transfer Learning
- Image Captioning
- Pose Estimation
- Stereo Vision
- Image Synthesis
- Local Descriptors
- Representation Learning
- Convolutional Networks
- Image Recognition
- Convolutional Neural Networks
- Deep Learning
- Unsupervised Learning
- Object Detection
- Neural Networks
- Feature Matching
- Generative Adversarial Networks
- Depth Estimation
- Action Recognition
- Domain Adaptation
- Object Tracking
- Visual Question Answering
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 22 words, with their numbers
- Deep Learning2956 topics
- Convolutional Neural Networks1232 topics
- Unsupervised Learning1223 topics
- Image Recognition841 topic
- Object Detection841 topic
- Convolutional Networks812 topics
- Neural Networks812 topics
- Representation Learning812 topics
- Feature Matching511 topic
- Local Descriptors511 topic
- Generative Adversarial Networks421 topic
- Image Synthesis421 topic
- Depth Estimation411 topic
- Stereo Vision411 topic
- Action Recognition401 topic
- Pose Estimation401 topic
- Domain Adaptation391 topic
- Image Captioning391 topic
- Object Tracking391 topic
- Transfer Learning391 topic
- Visual Question Answering391 topic
- Visual Tracking391 topic
Where does Errui Ding work?
Errui Ding's main affiliation in the publication record is Baidu (China), China.
How many publications and citations does Errui Ding have?
OpenAlex counts 305 works and 11,949 citations for Errui Ding, an h-index of 56, ranking #11,011 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 Errui Ding. 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.