Song Han
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Computational Mathematics top 1%
Papers in
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- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 10
- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and Data Classification 8
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- Advanced Neural Network Applications 40
- Human Pose and Action Recognition 7
- Co-authors
- Ji Lin (14 shared papers)Chuang Gan (8 shared papers)William J. Dally (11 shared papers)Huizi Mao (8 shared papers)Hanrui Wang (18 shared papers)Xingyu Liu (2 shared papers)Ardavan Pedram (2 shared papers)Mark Horowitz (2 shared papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Applied Intelligence (2 papers)IEEE Micro (2 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Song Han
100 papers receiving 7.2k citations
Song Han's Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 4.2k
- Computational Mathematics 94
- Hardware and Architecture 762
- Artificial Intelligence 2.9k
- Human-Computer Interaction 230
Countries citing papers authored by Song Han
This map shows the geographic impact of Song Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Song Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Han more than expected).
Fields of papers citing papers by Song Han
This network shows the impact of papers produced by Song Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Song Han. The network helps show where Song Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Song Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EIE Hit paper breakdown → | 2016 | 1292 |
| 2 | TSM: Temporal Shift Module for Efficient Video Understanding Hit paper breakdown → | 2019 | 1172 |
| 3 | Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey Hit paper breakdown → | 2020 | 611 |
| 4 | BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation Hit paper breakdown → | 2023 | 571 |
| 5 | Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA Hit paper breakdown → | 2017 | 423 |
| 6 | SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hit paper breakdown → | 2021 | 244 |
| 7 | Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training | 2018 | 225 |
| 8 | 2020 | 207 | |
| 9 | 2020 | 165 | |
| 10 | 2020 | 150 | |
| 11 | 2020 | 139 | |
| 12 | 2017 | 131 | |
| 13 | 2011 | 124 | |
| 14 | 2020 | 122 | |
| 15 | EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction Hit paper breakdown → | 2023 | 117 |
| 16 | 2022 | 89 | |
| 17 | 2022 | 74 | |
| 18 | 2023 | 73 | |
| 19 | 2019 | 68 | |
| 20 | 2020 | 63 |
About Song Han
Song Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications, having authored 105 papers that have together received 7.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (40 papers), Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Domain Adaptation and Few-Shot Learning (8 papers), Machine Learning and Data Classification (8 papers), Human Pose and Action Recognition (7 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.2k citations), Computational Mathematics (94 citations), Hardware and Architecture (762 citations), Artificial Intelligence (2.9k citations) and Human-Computer Interaction (230 citations). Song Han has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ji Lin, Chuang Gan, William J. Dally, Huizi Mao, Hanrui Wang, Xingyu Liu, Ardavan Pedram, Mark Horowitz, Jing Pu and Zhijian Liu. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Intelligence, IEEE Micro and Communications of the ACM.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.