Dexun Chen
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 13
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- Meteorological Phenomena and Simulations 3
- Co-authors
- Xin Liu (12 shared papers)Haohuan Fu (9 shared papers)Yong Liu (4 shared papers)Chu Guo (3 shared papers)Guangwen Yang (6 shared papers)Wenzhao Wu (2 shared papers)Xiaohui Duan (4 shared papers)Lin Gan (4 shared papers)
- Journals
- 中国科学通报：英文版 (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)Geoscientific model development (1 paper)iScience (1 paper)Physical Review Letters (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Dexun Chen
23 papers receiving 405 citations
Peers
Comparison fields: 5 of 39
- Hardware and Architecture 192
- Computational Mathematics 3
- Global and Planetary Change 62
- Atmospheric Science 35
- Artificial Intelligence 79
Countries citing papers authored by Dexun Chen
This map shows the geographic impact of Dexun Chen'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 Dexun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexun Chen more than expected).
Fields of papers citing papers by Dexun Chen
This network shows the impact of papers produced by Dexun Chen. 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 Dexun Chen. The network helps show where Dexun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dexun Chen, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2020 | 72 | |
| 3 | 2018 | 48 | |
| 4 | 2016 | 38 | |
| 5 | 2016 | 28 | |
| 6 | 2020 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2024 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2016 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 2 |
About Dexun Chen
Dexun Chen is a scholar working on Hardware and Architecture, Atmospheric Science, Artificial Intelligence, Global and Planetary Change and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 420 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Quantum Computing Algorithms and Architecture (4 papers), Advanced Chemical Physics Studies (3 papers), Meteorological Phenomena and Simulations (3 papers), Climate variability and models (2 papers), Magnetic confinement fusion research (2 papers), Solidification and crystal growth phenomena (1 paper) and Matrix Theory and Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (192 citations), Computational Mathematics (3 citations), Global and Planetary Change (62 citations), Atmospheric Science (35 citations) and Artificial Intelligence (79 citations). Dexun Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xin Liu, Haohuan Fu, Yong Liu, Chu Guo, Guangwen Yang, Wenzhao Wu, Xiaohui Duan, Lin Gan, He-Liang Huang and Honghui Shang. Their work appears in journals such as 中国科学通报：英文版, IEEE Transactions on Parallel and Distributed Systems, Geoscientific model development, iScience and Physical Review 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.