Jiaming Song
Impact in
- Structural Biology top 10%
-
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Anomaly Detection Techniques and Applications 6
- Domain Adaptation and Few-Shot Learning 5
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- 2D Materials and Applications 7
- ZnO doping and properties 7
- Co-authors
- Stefano Ermon (18 shared papers)Jan Kautz (3 shared papers)Arash Vahdat (2 shared papers)Umar Iqbal (1 shared paper)Ye Yuan (1 shared paper)Feng Teng (17 shared papers)Haibo Fan (12 shared papers)Peng Hu (12 shared papers)
- Journals
- Journal of Alloys and Compounds (4 papers)Process Safety and Environmental Protection (2 papers)Journal of Materials Chemistry C (2 papers)The Journal of Physical Chemistry C (2 papers)Materials Science in Semiconductor Processing (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jiaming Song
81 papers receiving 869 citations
Jiaming Song's Hit Papers
Peers
Comparison fields: 5 of 110
- Structural Biology 27
- Computer Vision and Pattern Recognition 287
- Control and Systems Engineering 158
- Computer Graphics and Computer-Aided Design 22
- Artificial Intelligence 199
Countries citing papers authored by Jiaming Song
This map shows the geographic impact of Jiaming Song'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 Jiaming Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Song more than expected).
Fields of papers citing papers by Jiaming Song
This network shows the impact of papers produced by Jiaming Song. 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 Jiaming Song. The network helps show where Jiaming Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Song, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PhysDiff: Physics-Guided Human Motion Diffusion Model Hit paper breakdown → | 2023 | 131 |
| 2 | 2018 | 50 | |
| 3 | InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations | 2017 | 48 |
| 4 | 2022 | 44 | |
| 5 | 2023 | 39 | |
| 6 | 2023 | 39 | |
| 7 | D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation | 2021 | 33 |
| 8 | Multi-Agent Generative Adversarial Imitation Learning | 2018 | 26 |
| 9 | 2022 | 26 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 21 | |
| 12 | A-NICE-MC: Adversarial Training for MCMC | 2017 | 20 |
| 13 | 2023 | 20 | |
| 14 | 2024 | 15 | |
| 15 | 2024 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2024 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2015 | 13 |
About Jiaming Song
Jiaming Song is a scholar working on Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 91 papers that have together received 893 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (10 papers), Advanced Photocatalysis Techniques (9 papers), 2D Materials and Applications (7 papers), ZnO doping and properties (7 papers), Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Perovskite Materials and Applications (5 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Structural Biology (27 citations), Computer Vision and Pattern Recognition (287 citations), Control and Systems Engineering (158 citations), Computer Graphics and Computer-Aided Design (22 citations) and Artificial Intelligence (199 citations). Jiaming Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Stefano Ermon, Jan Kautz, Arash Vahdat, Umar Iqbal, Ye Yuan, Feng Teng, Haibo Fan, Peng Hu, Yunzhu Li and Shengjia Zhao. Their work appears in journals such as Journal of Alloys and Compounds, Process Safety and Environmental Protection, Journal of Materials Chemistry C, The Journal of Physical Chemistry C and Materials Science in Semiconductor Processing.
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.