Yuan Rao
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- Digital Media Forensic Detection 7
- Generative Adversarial Networks and Image Synthesis 4
- Media Technology top 2%
- Biophysics top 5%
- Law top 2%
- Mechanical Engineering top 10%
- Innovative Energy Harvesting Technologies 10
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- Energy Harvesting in Wireless Networks 9
- Wireless Power Transfer Systems 4
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- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 4
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- Advanced Sensor and Energy Harvesting Materials 4
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Power Electronics (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yuan Rao
39 papers receiving 961 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 542
- Media Technology 165
- Biophysics 101
- Law 82
- Mechanical Engineering 239
Countries citing papers authored by Yuan Rao
This map shows the geographic impact of Yuan Rao'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 Yuan Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Rao more than expected).
Fields of papers citing papers by Yuan Rao
This network shows the impact of papers produced by Yuan Rao. 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 Yuan Rao. The network helps show where Yuan Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuan Rao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 29 | |
| 17 | A deep learning approach to detection of splicing and copy-move forgeries in imagesbreakdown → | 2016 | 339 |
| 18 | 2014 | 15 | |
| 19 | 2014 | 2 | |
| 20 | 2013 | 23 |
About Yuan Rao
Yuan Rao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (10 papers), Energy Harvesting in Wireless Networks (9 papers), Digital Media Forensic Detection (7 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Wireless Power Transfer Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (542 citations), Media Technology (165 citations) and Biophysics (101 citations). Yuan Rao has collaborated with scholars based in China, United States and India. Frequent co-authors include Jiangqun Ni, David P. Arnold, Shuo Cheng, Huimin Zhao, Lianwei Wu, Ambreen Nazir, Rui Han, Ling Sun, Yanghua Wang and Junyi Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Electronics.
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.