Dihong Gong
Dihong Gong publishes mostly in Computer Vision and Pattern Recognition and Signal Processing, on topics such as Face recognition and analysis, Face and Expression Recognition and Video Surveillance and Tracking Methods.
- World rank
- #294,734 of 1,633,909 ranked researchers
- Rank in China
- #15,684 of 187,979
- Works
- 16
- Citations
- 180
- Citations per work
- 11.3
What does Dihong Gong research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition83% of their works
- 2Signal Processing17% of their works
Research topics
Which keywords describe Dihong Gong's research?
The keywords of their largest research topics: Deep Learning, Face Recognition, Convolutional Neural Networks, Age Estimation, Facial Landmark Detection, Dimensionality Reduction, Feature Selection and Biometric Recognition.
- Generative Adversarial Networks
- Security
- Biometric Recognition
- Dimensionality Reduction
- Age Estimation
- Face Recognition
- Deep Learning
- Convolutional Neural Networks
- Facial Landmark Detection
- Feature Selection
- Object Tracking
- Visual Tracking
- Image Synthesis
Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.
All 13 words, with their numbers
- Deep Learning73 topics
- Face Recognition72 topics
- Convolutional Neural Networks62 topics
- Age Estimation41 topic
- Facial Landmark Detection41 topic
- Dimensionality Reduction31 topic
- Feature Selection31 topic
- Biometric Recognition21 topic
- Object Tracking21 topic
- Security21 topic
- Visual Tracking21 topic
- Generative Adversarial Networks11 topic
- Image Synthesis11 topic
Where does Dihong Gong work?
Dihong Gong's main affiliation in the publication record is Tencent (China), China.
How many publications and citations does Dihong Gong have?
Science Explorer counts 16 works and 180 citations for Dihong Gong, ranking #294,734 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.