Dong Cui

887 citations
80 papers · 648 · h-index 15

Impact in

Papers in

    • Neural dynamics and brain function 16
    • EEG and Brain-Computer Interfaces 15
    • Functional Brain Connectivity Studies 11
    • Refrigeration and Air Conditioning Technologies 16
    • Hydraulic and Pneumatic Systems 9
    • Advanced Thermodynamic Systems and Engines 6

Dong Cui

73 papers receiving 628 citations

Peers

Dong Cui
Comparison fields: 5 of 112
  • Cognitive Neuroscience 190
  • Signal Processing 58
  • Cellular and Molecular Neuroscience 73
  • Mechanical Engineering 138
  • Computational Mathematics 2
Replace Andrea Apicella with:
Andrea Apicella Italy
Preeti Singh India
Wenbo Zhao China
M. Emin Tağluk Türkiye
Yu Zhao United States
Álvaro A. Orozco Colombia
Bilal Fadlallah United States
Hui Song China
Raul C. Mureșan Romania
Rongrong Fu China
Dong Cui relative to Andrea Apicella Italy Andrea Apicella's profile →
Citations per field
00.5×
Andrea Apicella · 1×
Citations per year

Countries citing papers authored by Dong Cui

Since Specialization
Citations

This map shows the geographic impact of Dong Cui'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 Dong Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Cui more than expected).

Fields of papers citing papers by Dong Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Cui. 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 Dong Cui. The network helps show where Dong Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong Cui, 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 Dong Cui Line = papers co-authored together Dong Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200760
2 201941
3 201630
4 201029
5 201324
6 202222
7 201522
8 201619
9 201918
10 201718
11 201117
12 201917
13 201017
14 201816
15 202116
16 201412
17 201112
18 201411
19 201611
20 201711

About Dong Cui

Dong Cui is a scholar working on Cognitive Neuroscience, Mechanical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 80 papers that have together received 648 indexed citations. Recurring topics across this work include Refrigeration and Air Conditioning Technologies (16 papers), Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (11 papers), Hydraulic and Pneumatic Systems (9 papers), Advanced Thermodynamic Systems and Engines (6 papers), Face and Expression Recognition (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (190 citations), Signal Processing (58 citations), Cellular and Molecular Neuroscience (73 citations), Mechanical Engineering (138 citations) and Computational Mathematics (2 citations). Dong Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoli Li, Jun Wang, Zengli Wang, Xue‐Jun Song, Guanghua Gu, Zehua Li, John G. R. Jefferys, Přemysl Jiruška, Zhaohui Li and J. E. D. Fox. Their work appears in journals such as Vacuum, Neural Networks, Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Applied Thermal Engineering.

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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