Shaoqing Ren Google Scholar: h-index, Total Citations, and Citation Map
Shaoqing Ren's h-index is 29 (33 i10-index, 532,783+ total citations across 37+ publications) according to Google Scholar as of November 2026. Shaoqing Ren is affiliated with University of Science and Technology of China.
Shaoqing Ren is a researcher affiliated with University of Science and Technology of China, specializing in AI & Machine Learning. Their work has been cited 532,783 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Shaoqing Ren's Citation Metrics
Bibliometric impact based on 37 indexed publications.
- H-Index
- 29
- i10-Index
- 33
- Total Citations
- 532,783
- Citing Countries
- 53
As of November 2026.
Shaoqing Ren has an h-index of 29 and 532,783 total citations across 37 publications, with research cited by institutions in 53 countries.
Global Impact Map
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Deep residual learning for image recognition
2016349,719
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Shaoqing Ren's research
Shaoqing Ren is a researcher in AI & Machine Learning at University of Science and Technology of China. Their work has been cited 532,783 times across 37 publications (h-index 29), according to Google Scholar.
Their most-cited work, “Deep residual learning for image recognition” (2016), has accumulated 349,719 citations. Other influential work includes “Faster r-cnn: Towards real-time object detection with region proposal networks” (2015) with 110,852 citations.
Citations of Shaoqing Ren's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
