Yu Qiao: h-index, Total Citations, and Citation Map
Yu Qiao's h-index is 168 (495 i10-index, 142,735+ total citations across 779+ publications) according to Google Scholar as of July 2026. Yu Qiao is affiliated with Professor of Shanghai AI Laboratory; Shanghai Innovation Institute.
Yu Qiao is a researcher affiliated with Professor of Shanghai AI Laboratory; Shanghai Innovation Institute, specializing in Computer Vision, Pattern Recognition, World Model. Their work has been cited 142,735 times. This profile visualizes their global influence, spanning a global audience.
Yu Qiao's Citation Metrics
Bibliometric impact based on 779 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 168
- i10-Index
- 495
- Total Citations
- 142,735
- Citing Countries
- 0
As of July 2026.
Yu Qiao has an h-index of 168 and 142,735 total citations across 779 publications, with research cited by institutions in 0 countries.
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Joint face detection and alignment using multitask cascaded convolutional networks
20168,321
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yu Qiao's research
Yu Qiao is a researcher in Computer Vision, Pattern Recognition and World Model at Professor of Shanghai AI Laboratory; Shanghai Innovation Institute. Their work has been cited 142,735 times across 779 publications (h-index 168), according to Google Scholar.
Their most-cited work, “Joint face detection and alignment using multitask cascaded convolutional networks” (2016), has accumulated 8,321 citations. Other influential works include “Esrgan: Enhanced super-resolution generative adversarial networks” (2018) with 7,119 citations and “Temporal segment networks: Towards good practices for deep action recognition” (2016) with 5,604 citations.
