Dan Chen

6.8k total citations · 1 hit paper
236 papers, 4.6k citations indexed

About

Dan Chen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Dan Chen has authored 236 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 29 papers in Artificial Intelligence and 24 papers in Computer Networks and Communications. Recurrent topics in Dan Chen's work include EEG and Brain-Computer Interfaces (23 papers), Distributed and Parallel Computing Systems (17 papers) and Blind Source Separation Techniques (12 papers). Dan Chen is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Distributed and Parallel Computing Systems (17 papers) and Blind Source Separation Techniques (12 papers). Dan Chen collaborates with scholars based in China, United States and Australia. Dan Chen's co-authors include Lizhe Wang, Xiaoli Li, Hongyu Wang, Rajiv Ranjan, Kai Yang, Albert Y. Zomaya, Jingying Chen, Samee U. Khan, Yunbo Tang and Jie Tao and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dan Chen

214 papers receiving 4.4k citations

Hit Papers

The applied principles of EEG analysis methods in neurosc... 2023 2026 2024 2025 2023 20 40 60

Peers

Dan Chen
Comparison fields: 5 of 205
  • Computer Networks and Communications 790
  • Information Systems 688
  • Cognitive Neuroscience 609
  • Molecular Biology 436
  • Immunology 430
Replace Yang Li with:
Yang Li China
Le Zhang China
Mohammad Ali Moni Australia
Rupesh K. Srivastava India
Hongzhi Wang China
Sen Wang China
Jianhua Zhang China
Zenghui Wang South Africa
Xiaodi Huang Australia
Gang Pan China
Yang Li China View profile →
Citations per field, relative to Dan Chen
Dan Chen · 1×
Citations per year, relative to Dan Chen
Dan Chen · 1×

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-authorship network of co-authors of Dan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Chen. A scholar is included among the top collaborators of Dan Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Chen. Dan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 2
4 8
5 19
6 5
7 5
8 33
9 23
10 1
11 3
12 110
13 58
14 39
15 18
16
Algorithms for Bivariate Majority Depth.
1
17
A feature-based detection and tracking system for gaze and smiling behaviours.
1
18
A grid infrastructure for hybrid simulations.
7
19
Multi-source Image Fusion Algorithm Based on PCA and Wavelet Transform
1
20
On Athletic Coaches Innovation Ability
0

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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