Le Song Google Scholar: h-index, Total Citations, and Citation Map
Le Song's h-index is 97 (279 i10-index, 51,754+ total citations across 419+ publications) according to Google Scholar as of November 2026. Le Song is affiliated with CTO, GenBio AI; Professor, MBZUAI.
Le Song is a researcher affiliated with CTO, GenBio AI; Professor, MBZUAI, specializing in various fields. Their work has been cited 51,754 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Le Song's Citation Metrics
Bibliometric impact based on 419 indexed publications.
- H-Index
- 97
- i10-Index
- 279
- Total Citations
- 51,754
- Citing Countries
- 37
As of November 2026.
Le Song has an h-index of 97 and 51,754 total citations across 419 publications, with research cited by institutions in 37 countries.
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Sphereface: Deep hypersphere embedding for face recognition
20174,248
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Le Song's research
Le Song is a researcher at CTO, GenBio AI; Professor, MBZUAI. Their work has been cited 51,754 times across 419 publications (h-index 97), according to Google Scholar.
Their most-cited work, “Sphereface: Deep hypersphere embedding for face recognition” (2017), has accumulated 4,248 citations. Other influential works include “Scientific discovery in the age of artificial intelligence” (2023) with 2,773 citations and “Learning combinatorial optimization algorithms over graphs” (2017) with 2,537 citations.
Citations of Le Song'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.
