Yu Qiao: h-index, Total Citations, and Citation Map
Yu Qiao's h-index is 165 (489 i10-index, 138,648+ total citations across 773+ publications) according to Google Scholar as of June 2026. Yu Qiao is affiliated with Professor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CAS.
Yu Qiao is a researcher affiliated with Professor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CAS, specializing in various fields. Their work has been cited 138,648 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yu Qiao's Citation Metrics
Bibliometric impact based on 773 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 165
- i10-Index
- 489
- Total Citations
- 138,648
- Citing Countries
- 62
As of June 2026.
Yu Qiao has an h-index of 165 and 138,648 total citations across 773 publications, with research cited by institutions in 62 countries.
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We've mapped 5,000 of 138,648 citations for Yu Qiao
We've shown the most-cited 5,000. Unlock the full crawl (135,556 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Joint face detection and alignment using multitask cascaded convolutional networks
20168,214
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
203 citing papers could not be classified (no author data) — excluded from the percentages above.
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 at Professor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CAS. Their work has been cited 138,648 times across 773 publications (h-index 165), according to Google Scholar.
Their most-cited work, “Joint face detection and alignment using multitask cascaded convolutional networks” (2016), has accumulated 8,214 citations. Other influential works include “Esrgan: Enhanced super-resolution generative adversarial networks” (2018) with 7,009 citations and “Temporal segment networks: Towards good practices for deep action recognition” (2016) with 5,550 citations.
Citations of Yu Qiao's research come primarily from China, United States and Hong Kong, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
