Dan Chen

2.1k citations
107 papers · 1.4k · h-index 23

Impact in

Papers in

Dan Chen

96 papers receiving 1.4k citations

Peers

Dan Chen
Comparison fields: 5 of 155
  • Cognitive Neuroscience 274
  • Computer Networks and Communications 307
  • Signal Processing 121
  • Water Science and Technology 143
  • Computational Mathematics 6
Replace Ya‐Feng Liu with:
Ya‐Feng Liu China
Hongxu Chen China
Md. Saiful Islam Australia
Chengxi Liu China
Takuya Maekawa Japan
Ahmad Ihsan Mohd Yassin Malaysia
Yan Liu China
Neha Sharma India
Junshui Ma United States
Sun China
Dan Chen relative to Ya‐Feng Liu China Ya‐Feng Liu's profile →
Citations per field
00.5×1.5×2.4×
Ya‐Feng Liu · 1×
Citations per year

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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016112
2 201874
3 201567
4 202062
5 201560
6 201455
7 200851
8 201440
9 201634
10 200033
11 201432
12 201629
13 201329
14 201629
15 201527
16 201126
17 200526
18 201425
19 201925
20 201924

About Dan Chen

Dan Chen is a scholar working on Computer Networks and Communications, Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Molecular Biology, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (14 papers), EEG and Brain-Computer Interfaces (10 papers), Advanced MIMO Systems Optimization (10 papers), Sleep and Wakefulness Research (8 papers), Cognitive Radio Networks and Spectrum Sensing (7 papers), Functional Brain Connectivity Studies (7 papers), Sleep and related disorders (6 papers) and Simulation Techniques and Applications (6 papers). The work is most often cited by research in Cognitive Neuroscience (274 citations), Computer Networks and Communications (307 citations), Signal Processing (121 citations), Water Science and Technology (143 citations) and Computational Mathematics (6 citations). Dan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongyu Wang, Kai Yang, Xiaoli Li, Huining Zhang, Hong Ji, Stephen John Turner, Wentong Cai, Albert Y. Zomaya, Rajiv Ranjan and Lizhe Wang. Their work appears in journals such as Journal of Parallel and Distributed Computing, Scientific Reports, Software Practice and Experience, Knowledge-Based Systems and Sleep Medicine.

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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