Dewen Hu

16.3k citations
367 papers · 11.7k indexed · 3 hit papers · h-index 58

Dewen Hu

345 papers receiving 11.4k citations

Hit Papers

GeoTransformer: F...842012202620162021200400600

Peers

Dewen Hu
Comparison fields: 5 of 186
  • Cognitive Neuroscience 6.2k
  • Human-Computer Interaction 709
  • Experimental and Cognitive Psychology 1.2k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Computer Vision and Pattern Recognition 1.7k
Replace Jianfeng Feng with:
Jianfeng Feng China
Bin Hu China
Jean‐Philippe Thiran Switzerland
Xun Chen China
Alexandre Gramfort France
W.D. Penny United Kingdom
Dezhong Yao China
Roberto Hornero Spain
David J. Heeger United States
Martin J. McKeown Canada
Dewen Hu relative to Jianfeng Feng China Jianfeng Feng's profile →
Citations per field
00.5×3.2×
Jianfeng Feng · 1×
Citations per year

Countries citing papers authored by Dewen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dewen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20246
3 20244
4 20247
5 20241
6 202413
7 20230
8 202349
9 202230
10 20229
11 202232
12 202119
13 202134
14 201926
15 20193
16 201940
17 20181
18 201835
19 20188
20 20174

About Dewen Hu

Dewen Hu is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 367 papers that have together received 11.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (117 papers), EEG and Brain-Computer Interfaces (87 papers), Neural dynamics and brain function (71 papers), Advanced Neuroimaging Techniques and Applications (58 papers), Advanced MRI Techniques and Applications (35 papers), Neuroscience and Neural Engineering (27 papers), Gaze Tracking and Assistive Technology (24 papers) and Blind Source Separation Techniques (21 papers). The work is most often cited by research in Cognitive Neuroscience (6.2k citations), Human-Computer Interaction (709 citations) and Experimental and Cognitive Psychology (1.2k citations). Dewen Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Shen, Ling‐Li Zeng, Lubin Wang, Zongtan Zhou, Zongtan Zhou, Baojuan Li, Yuanxin Wu, Erwei Yin, Xin Xu and Xiao Hu. Their work appears in journals such as Neuroreport, IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS ONE, NeuroImage and IEEE Transactions on Neural Systems and Rehabilitation 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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