Yuedan Chen
Impact in
- Computational Mathematics top 5%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 14
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- Algorithms and Data Compression 4
- Advanced Graph Neural Networks 4
- Co-authors
- Guoqing Xiao (22 shared papers)Kenli Li (17 shared papers)Kabin Xie (5 shared papers)Wangdong Yang (4 shared papers)Albert Y. Zomaya (4 shared papers)Dan Ding (1 shared paper)Hong Li (1 shared paper)Tao Li (2 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (4 papers)Frontiers in Oncology (2 papers)IEEE Transactions on Industrial Informatics (1 paper)Information Sciences (1 paper)The Plant Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yuedan Chen
43 papers receiving 760 citations
Peers
Comparison fields: 5 of 106
- Computational Mathematics 29
- Hardware and Architecture 113
- Gastroenterology 69
- Computer Networks and Communications 182
- Signal Processing 84
Countries citing papers authored by Yuedan Chen
This map shows the geographic impact of Yuedan 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 Yuedan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuedan Chen more than expected).
Fields of papers citing papers by Yuedan Chen
This network shows the impact of papers produced by Yuedan 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 Yuedan Chen. The network helps show where Yuedan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuedan 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2015 | 94 | |
| 3 | 2018 | 82 | |
| 4 | 2018 | 82 | |
| 5 | 2019 | 78 | |
| 6 | 2014 | 73 | |
| 7 | 2022 | 29 | |
| 8 | 2020 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2018 | 7 |
About Yuedan Chen
Yuedan Chen is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Neurology and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 772 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), CNS Lymphoma Diagnosis and Treatment (9 papers), Distributed and Parallel Computing Systems (6 papers), Tensor decomposition and applications (5 papers), Advanced Data Storage Technologies (5 papers), Algorithms and Data Compression (4 papers), Advanced Graph Neural Networks (4 papers) and Graph Theory and Algorithms (4 papers). The work is most often cited by research in Computational Mathematics (29 citations), Hardware and Architecture (113 citations), Gastroenterology (69 citations), Computer Networks and Communications (182 citations) and Signal Processing (84 citations). Yuedan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guoqing Xiao, Kenli Li, Kabin Xie, Wangdong Yang, Albert Y. Zomaya, Dan Ding, Hong Li, Tao Li, Kaiyuan Chen and Tao Li. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Frontiers in Oncology, IEEE Transactions on Industrial Informatics, Information Sciences and The Plant Journal.
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.