Shaoqing Ren: h-index, Total Citations, and Citation Map
Shaoqing Ren's h-index is 1 (1 i10-index, 501,353+ total citations across 1+ publications) according to Google Scholar as of June 2026. Shaoqing Ren is affiliated with USTC & NIO.
Shaoqing Ren is a researcher affiliated with USTC & NIO, specializing in AI & Machine Learning. Their work has been cited 501,353 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shaoqing Ren's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 501,353
- Citing Countries
- 4
As of June 2026.
Shaoqing Ren has an h-index of 1 and 501,353 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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Deep Residual Learning for Image Recognition
2016318,365
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 USTC & NIO. Their work has been cited 501,353 times across 1 publications, according to Google Scholar.
Their most-cited work, “Deep Residual Learning for Image Recognition” (2016), has accumulated 318,365 citations.
Citations of Shaoqing Ren's research come primarily from United States, China and Mexico, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
