Dexun Chen
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 4
- Distributed systems and fault tolerance 2
-
- Parallel Computing and Optimization Techniques 8
- Co-authors
- Xin Liu (10 shared papers)Haohuan Fu (7 shared papers)Xiaohui Duan (4 shared papers)Honghui Shang (5 shared papers)Wusheng Zhang (2 shared papers)Ping Gao (3 shared papers)Hong An (4 shared papers)Lin Gan (3 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (2 papers)Science Bulletin (2 papers)iScience (1 paper)Geoscientific model development (1 paper)Nuclear Fusion (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Dexun Chen
18 papers receiving 188 citations
Peers
Comparison fields: 5 of 51
- Computational Mathematics 6
- Hardware and Architecture 61
- Computer Networks and Communications 69
- Metals and Alloys 4
- Structural Biology 2
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2016 | 32 | |
| 3 | 2020 | 20 | |
| 4 | 2024 | 15 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Dexun Chen
Dexun Chen is a scholar working on Computer Networks and Communications, Hardware and Architecture, Materials Chemistry, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 23 papers that have together received 200 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers), Graphene research and applications (3 papers), Meteorological Phenomena and Simulations (2 papers), Machine Learning in Materials Science (2 papers), Diamond and Carbon-based Materials Research (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Computational Mathematics (6 citations), Hardware and Architecture (61 citations), Computer Networks and Communications (69 citations), Metals and Alloys (4 citations) and Structural Biology (2 citations). Dexun Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xin Liu, Haohuan Fu, Xiaohui Duan, Honghui Shang, Wusheng Zhang, Ping Gao, Hong An, Lin Gan, Xiangxu Meng and Wei Xue. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Science Bulletin, iScience, Geoscientific model development and Nuclear Fusion.
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.