Li Dong
Impact in
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- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
- Artificial Intelligence top 1%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum Information and Cryptography 60
- Quantum Computing Algorithms and Architecture 29
- Speech Recognition and Synthesis 11
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- Quantum Mechanics and Applications 36
- Quantum optics and atomic interactions 24
- Co-authors
- Xiao‐Ming Xiu (48 shared papers)Zheng Zhang (1 shared paper)Yutong Lin (1 shared paper)Zhuliang Yao (1 shared paper)Zhenda Xie (1 shared paper)Yue Cao (1 shared paper)Furu Wei (2 shared papers)Han Hu (1 shared paper)
In The Last Decade
Li Dong
133 papers receiving 3.1k citations
Li Dong's Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.5k
- Media Technology 378
- Atomic and Molecular Physics, and Optics 895
- Signal Processing 195
Countries citing papers authored by Li Dong
This map shows the geographic impact of Li Dong'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 Li Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Dong more than expected).
Fields of papers citing papers by Li Dong
This network shows the impact of papers produced by Li Dong. 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 Li Dong. The network helps show where Li Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Dong, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Swin Transformer V2: Scaling Up Capacity and Resolution Hit paper breakdown → | 2022 | 1439 |
| 2 | 2020 | 177 | |
| 3 | 2006 | 93 | |
| 4 | 2005 | 86 | |
| 5 | 2008 | 73 | |
| 6 | 2016 | 58 | |
| 7 | 2008 | 56 | |
| 8 | 2009 | 53 | |
| 9 | 2008 | 46 | |
| 10 | 2010 | 44 | |
| 11 | 2009 | 39 | |
| 12 | 2016 | 36 | |
| 13 | 2020 | 31 | |
| 14 | 2016 | 30 | |
| 15 | 2019 | 28 | |
| 16 | 2024 | 28 | |
| 17 | 2009 | 26 | |
| 18 | 2008 | 25 | |
| 19 | 2018 | 25 | |
| 20 | 2009 | 25 |
About Li Dong
Li Dong is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 151 papers that have together received 3.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (60 papers), Quantum Mechanics and Applications (36 papers), Quantum Computing Algorithms and Architecture (29 papers), Quantum optics and atomic interactions (24 papers), Digital Media Forensic Detection (20 papers), Advanced Steganography and Watermarking Techniques (17 papers), Image and Signal Denoising Methods (11 papers) and Speech Recognition and Synthesis (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.5k citations), Media Technology (378 citations), Atomic and Molecular Physics, and Optics (895 citations) and Signal Processing (195 citations). Li Dong has collaborated with scholars based in China, Macao and Singapore. Frequent co-authors include Xiao‐Ming Xiu, Zheng Zhang, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yue Cao, Furu Wei, Han Hu, Baining Guo and Yixuan Wei. Their work appears in journals such as Optics Communications, Quantum Information Processing, IEEE Transactions on Image Processing, IEEE Access and IEEE Signal Processing Letters.
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.