Song Han: h-index, Total Citations, and Citation Map
Song Han's h-index is 1 (1 i10-index, 93,489+ total citations across 1+ publications) according to Google Scholar as of June 2026. Song Han is affiliated with Massachusetts Institute of Technology.
Song Han is a researcher affiliated with Massachusetts Institute of Technology, specializing in AI & Machine Learning. Their work has been cited 93,489 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Song Han's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 93,489
- Citing Countries
- 3
As of June 2026.
Song Han has an h-index of 1 and 93,489 total citations across 1 publication, with research cited by institutions in 3 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 Song Han's research
Song Han is a researcher in AI & Machine Learning at Massachusetts Institute of Technology. Their work has been cited 93,489 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 Song Han's research come primarily from United States, Australia and China, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
