S Han: h-index, Total Citations, and Citation Map
S Han's h-index is 1 (1 i10-index, 100,935+ total citations across 1+ publications) according to Google Scholar as of August 2026. S Han is affiliated with Massachusetts Institute of Technology.
S Han is a researcher affiliated with Massachusetts Institute of Technology, specializing in AI & Machine Learning. Their work has been cited 100,935 times. This profile visualizes their global influence, highlighting strong citation networks in China.
S Han's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 100,935
- Citing Countries
- 28
As of August 2026.
S Han has an h-index of 1 and 100,935 total citations across 1 publication, with research cited by institutions in 28 countries.
Global Impact Map
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
201513,563
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 S Han's research
S Han is a researcher in AI & Machine Learning at Massachusetts Institute of Technology. Their work has been cited 100,935 times across 1 publications, according to Google Scholar.
Their most-cited work, “Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding” (2015), has accumulated 13,563 citations.
Citations of S Han's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
