Dan Chen

214 papers receiving 4.4k citations

Dan Chen's Hit Papers

The applied principles of EEG analysis methods in neuroscience and clinical neurology 2023 · 73 citations
730+1+2Years since publication204060

Peers

Dan Chen
Comparison fields: 5 of 205
  • Computational Mathematics 44
  • Computer Networks and Communications 790
  • Cognitive Neuroscience 609
  • Information Systems 688
  • Pollution 300
Replace Xiang Li with:
Xiang Li China
Rupesh K. Srivastava India
Hongzhi Wang China
Ya Zhang China
Yang Li China
Zhe Wang China
Huihui Wang China
Ping Li China
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Yan Li China
Dan Chen relative to Xiang Li China Xiang Li's profile →
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Countries citing papers authored by Dan Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Chen Line = papers co-authored together Dan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004436
2 2012230
3 2013141
4 2008113
5 2019110
6 2017110
7 201094
8 201282
9 201581
10 201377
11 201575
12 201275
13
The applied principles of EEG analysis methods in neuroscience and clinical neurology
Hit paper breakdown →
202373
14 201872
15 201472
16 201361
17 201958
18 201257
19
Reconstruction of damaged cornea by autologous transplantation of epidermal adult stem cells.
200857
20 201053

About Dan Chen

Dan Chen is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 236 papers that have together received 4.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Distributed and Parallel Computing Systems (17 papers), Blind Source Separation Techniques (12 papers), Cloud Computing and Resource Management (11 papers), Wastewater Treatment and Nitrogen Removal (11 papers), Parallel Computing and Optimization Techniques (9 papers), Sleep and Wakefulness Research (9 papers) and Sleep and related disorders (8 papers). The work is most often cited by research in Computational Mathematics (44 citations), Computer Networks and Communications (790 citations), Cognitive Neuroscience (609 citations), Information Systems (688 citations) and Pollution (300 citations). Dan Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lizhe Wang, Xiaoli Li, Hongyu Wang, Rajiv Ranjan, Kai Yang, Albert Y. Zomaya, Jingying Chen, Yunbo Tang, Samee U. Khan and Jie Tao. Their work appears in journals such as Neurocomputing, IEEE Transactions on Parallel and Distributed Systems, Computers & Electrical Engineering, Neurology and Future Generation Computer 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.

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