Song Han: h-index, Total Citations, and Citation Map
Song Han's h-index is 29 (88 i10-index, 103,683+ total citations across 249+ publications) according to Google Scholar as of September 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 103,683 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Song Han's Citation Metrics
Bibliometric impact based on 249 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 29
- i10-Index
- 88
- Total Citations
- 103,683
- Citing Countries
- 60
As of September 2026.
Song Han has an h-index of 29 and 103,683 total citations across 249 publications, with research cited by institutions in 60 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 103,683 times across 249 publications (h-index 29), 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. Other influential works include “Industrial Internet of Things: Challenges, Opportunities, and Directions” (2018) with 2,247 citations and “WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control” (2008) with 605 citations.
Citations of Song 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.
