Sen Chen
Impact in
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- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Caching and Content Delivery
- Information Systems top 10%
- Cloud Computing and Resource Management
Papers in
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- Metal and Thin Film Mechanics 4
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- Advanced Graph Neural Networks 3
- Topic Modeling 3
- Advanced Computational Techniques and Applications 2
- Co-authors
- Jian Wang (3 shared papers)Ping Wu (4 shared papers)Peng Wang (1 shared paper)Zhenjun Liu (1 shared paper)Yuhui Wang (1 shared paper)Wei Cao (1 shared paper)Li Wang (1 shared paper)Hong Mei Qiu (1 shared paper)
In The Last Decade
Sen Chen
22 papers receiving 306 citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 89
- Information Systems 83
- Industrial and Manufacturing Engineering 23
- Ceramics and Composites 9
- Hardware and Architecture 11
Countries citing papers authored by Sen Chen
This map shows the geographic impact of Sen 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 Sen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Chen more than expected).
Fields of papers citing papers by Sen Chen
This network shows the impact of papers produced by Sen 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 Sen Chen. The network helps show where Sen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen 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 | 85 | |
| 2 | 2022 | 38 | |
| 3 | 2018 | 35 | |
| 4 | 2020 | 26 | |
| 5 | 2011 | 25 | |
| 6 | 2021 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2011 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2016 | 2 | |
| 18 | Experimental investigation on dilation mechanism of ultra-heavy oilsands from Xinjiang oilfield | 2015 | 1 |
| 19 | A hierarchical clustering algorithm based on kernel function | 2011 | 1 |
| 20 | 2022 | 1 |
About Sen Chen
Sen Chen is a scholar working on Mechanics of Materials, Artificial Intelligence, Analytical Chemistry, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 23 papers that have together received 314 indexed citations. Recurring topics across this work include Metal and Thin Film Mechanics (4 papers), Diamond and Carbon-based Materials Research (3 papers), Advanced Graph Neural Networks (3 papers), Rough Sets and Fuzzy Logic (3 papers), Topic Modeling (3 papers), Petroleum Processing and Analysis (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (89 citations), Information Systems (83 citations), Industrial and Manufacturing Engineering (23 citations), Ceramics and Composites (9 citations) and Hardware and Architecture (11 citations). Sen Chen has collaborated with scholars based in China and Australia. Frequent co-authors include Jian Wang, Ping Wu, Peng Wang, Zhenjun Liu, Yuhui Wang, Wei Cao, Li Wang, Hong Mei Qiu, Yongxiang Wang and Shuang Li. Their work appears in journals such as IEEE Access, Thin Solid Films, IEEE Transactions on Instrumentation and Measurement, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Proceedings of the VLDB Endowment.
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.