Feng Duan

2.7k citations
190 papers · 2.1k · h-index 23

Impact in

Papers in

Feng Duan

177 papers receiving 2.1k citations

Peers

Feng Duan
Comparison fields: 5 of 140
  • Human-Computer Interaction 298
  • Cognitive Neuroscience 842
  • Industrial and Manufacturing Engineering 318
  • Cellular and Molecular Neuroscience 304
  • Computer Vision and Pattern Recognition 309
Replace Fulvio Mastrogiovanni with:
Fulvio Mastrogiovanni Italy
Andrea Cherubini France
Guanghua Xu China
R. Brent Gillespie United States
Rui Yang China
Brenna Argall United States
Emanuele Menegatti Italy
Wen Qi China
Du Jiang China
Jianyi Kong China
Feng Duan relative to Fulvio Mastrogiovanni Italy Fulvio Mastrogiovanni's profile →
Citations per field
00.5×2×4×5.8×
Fulvio Mastrogiovanni · 1×
Citations per year

Countries citing papers authored by Feng Duan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 2019153
3 2009118
4 201570
5 202166
6 202264
7 202057
8 202057
9 202055
10 201650
11 201945
12 201843
13 201940
14 201937
15 201035
16 200734
17 201734
18 202330
19 200929
20 201126

About Feng Duan

Feng Duan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 190 papers that have together received 2.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (68 papers), Neuroscience and Neural Engineering (38 papers), Muscle activation and electromyography studies (33 papers), Gaze Tracking and Assistive Technology (28 papers), Advanced Manufacturing and Logistics Optimization (17 papers), Manufacturing Process and Optimization (14 papers), Functional Brain Connectivity Studies (12 papers) and Robot Manipulation and Learning (12 papers). The work is most often cited by research in Human-Computer Interaction (298 citations), Cognitive Neuroscience (842 citations), Industrial and Manufacturing Engineering (318 citations), Cellular and Molecular Neuroscience (304 citations) and Computer Vision and Pattern Recognition (309 citations). Feng Duan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhe Sun, Tamio Arai, Jeffrey Too Chuan Tan, Jordi Solé‐Casals, Ryu Kato, Chi Zhu, Ye Zhang, Zengqiang Chen, Wenyu Li and Andrzej Cichocki. Their work appears in journals such as IEEE Access, Cognitive Computation, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Automation Science and Engineering and Advanced Robotics.

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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