Shuran Song: h-index, Total Citations, and Citation Map
Shuran Song's h-index is 1 (1 i10-index, 50,999+ total citations across 1+ publications) according to Google Scholar as of June 2026. Shuran Song is affiliated with Stanford University.
Shuran Song is a researcher affiliated with Stanford University, specializing in AI & Machine Learning. Their work has been cited 50,999 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shuran Song's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 50,999
- Citing Countries
- 6
As of June 2026.
Shuran Song has an h-index of 1 and 50,999 total citations across 1 publication, with research cited by institutions in 6 countries.
Global Impact Map
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3d shapenets: A deep representation for volumetric shapes
20158,611
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 Shuran Song's research
Shuran Song is a researcher in AI & Machine Learning at Stanford University. Their work has been cited 50,999 times across 1 publications, according to Google Scholar.
Their most-cited work, “3d shapenets: A deep representation for volumetric shapes” (2015), has accumulated 8,611 citations.
Citations of Shuran Song's research come primarily from United States, Australia and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
