Yumin Dong
Impact in
- Astronomy and Astrophysics top 10%
- Pulsars and Gravitational Waves Research
-
- High-Energy Particle Collisions Research
Papers in
-
- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 6
- Machine Learning and ELM 4
- Neural Networks and Applications 3
- Co-authors
- Hongyang Ma (7 shared papers)Bin Wang (4 shared papers)Peng-Cheng Chu (4 shared papers)Xiao‐Hua Li (3 shared papers)Xiao-Min Zhang (3 shared papers)Xiang Li (3 shared papers)Xiaoyu Wang (1 shared paper)Xiang Li (1 shared paper)
- Journals
- Information Systems (2 papers)IEEE Access (2 papers)Quantum Information Processing (2 papers)Physical review. D (2 papers)New Journal of Physics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yumin Dong
48 papers receiving 319 citations
Peers
Comparison fields: 5 of 86
- Astronomy and Astrophysics 81
- Nuclear and High Energy Physics 55
- Geophysics 52
- Modeling and Simulation 15
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Yumin Dong
This map shows the geographic impact of Yumin 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 Yumin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumin Dong more than expected).
Fields of papers citing papers by Yumin Dong
This network shows the impact of papers produced by Yumin 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 Yumin Dong. The network helps show where Yumin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yumin 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 26 | |
| 2 | 2021 | 25 | |
| 3 | 2016 | 24 | |
| 4 | 2016 | 21 | |
| 5 | 2015 | 20 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2023 | 5 |
About Yumin Dong
Yumin Dong is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Information Systems, having authored 51 papers that have together received 345 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (6 papers), Chaos-based Image/Signal Encryption (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Quantum-Dot Cellular Automata (4 papers), Machine Learning and ELM (4 papers), Pulsars and Gravitational Waves Research (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Astronomy and Astrophysics (81 citations), Nuclear and High Energy Physics (55 citations), Geophysics (52 citations), Modeling and Simulation (15 citations) and Computer Vision and Pattern Recognition (60 citations). Yumin Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongyang Ma, Bin Wang, Peng-Cheng Chu, Xiao‐Hua Li, Xiao-Min Zhang, Xiang Li, Xiaoyu Wang, Xiang Li, Shumei Wang and Junting Liu. Their work appears in journals such as Information Systems, IEEE Access, Quantum Information Processing, Physical review. D and New Journal of Physics.
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.