Dan Chen
Impact in
- Computational Mathematics top 2%
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
Papers in
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- EEG and Brain-Computer Interfaces 18
-
- Face recognition and analysis 4
- Co-authors
- Lizhe Wang (37 shared papers)Xiaoli Li (27 shared papers)Rajiv Kumar Ranjan (12 shared papers)Hongyu Wang (12 shared papers)Kai Yang (11 shared papers)Albert Y. Zomaya (10 shared papers)Jingying Chen (9 shared papers)Yunbo Tang (15 shared papers)
- Journals
- Neurocomputing (4 papers)Future Generation Computer Systems (3 papers)Computers & Electrical Engineering (3 papers)Neural Networks (3 papers)IEEE Transactions on Parallel and Distributed Systems (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Chen
216 papers receiving 5k citations
Dan Chen's Hit Papers
Peers
Comparison fields: 5 of 188
- Computational Mathematics 52
- Hardware and Architecture 232
- Information Systems 672
- Cognitive Neuroscience 515
- Pollution 255
Countries citing papers authored by Dan Chen
This map shows the geographic impact of Dan 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 Dan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chen more than expected).
Fields of papers citing papers by Dan Chen
This network shows the impact of papers produced by Dan 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 Dan Chen. The network helps show where Dan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 240 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 458 | |
| 2 | G-Hadoop: MapReduce across distributed data centers for data-intensive computing Hit paper breakdown → | 2012 | 268 |
| 3 | 2013 | 167 | |
| 4 | 2008 | 127 | |
| 5 | 2019 | 125 | |
| 6 | 2013 | 120 | |
| 7 | 2017 | 114 | |
| 8 | 2010 | 98 | |
| 9 | 2015 | 98 | |
| 10 | 2022 | 91 | |
| 11 | The applied principles of EEG analysis methods in neuroscience and clinical neurology Hit paper breakdown → | 2023 | 89 |
| 12 | 2012 | 88 | |
| 13 | 2012 | 84 | |
| 14 | 2013 | 84 | |
| 15 | 2014 | 77 | |
| 16 | 2015 | 77 | |
| 17 | 2018 | 75 | |
| 18 | 2019 | 67 | |
| 19 | 2013 | 61 | |
| 20 | 2020 | 61 |
About Dan Chen
Dan Chen is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mathematics and Hardware and Architecture, having authored 240 papers that have together received 5.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Distributed and Parallel Computing Systems (14 papers), Parallel Computing and Optimization Techniques (11 papers), Cloud Computing and Resource Management (10 papers), Wastewater Treatment and Nitrogen Removal (9 papers), Tensor decomposition and applications (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computational Mathematics (52 citations), Hardware and Architecture (232 citations), Information Systems (672 citations), Cognitive Neuroscience (515 citations) and Pollution (255 citations). Dan Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lizhe Wang, Xiaoli Li, Rajiv Kumar Ranjan, Hongyu Wang, Kai Yang, Albert Y. Zomaya, Jingying Chen, Yunbo Tang, Samee ullah Khan and Jie Tao. Their work appears in journals such as Neurocomputing, Future Generation Computer Systems, Computers & Electrical Engineering, Neural Networks and IEEE Transactions on Parallel and Distributed Systems.
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.