Dewen Hu

16.3k total citations · 3 hit papers
367 papers, 11.7k citations indexed

About

Dewen Hu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dewen Hu has authored 367 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Cognitive Neuroscience, 80 papers in Radiology, Nuclear Medicine and Imaging and 76 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dewen Hu's work include Functional Brain Connectivity Studies (117 papers), EEG and Brain-Computer Interfaces (87 papers) and Neural dynamics and brain function (71 papers). Dewen Hu is often cited by papers focused on Functional Brain Connectivity Studies (117 papers), EEG and Brain-Computer Interfaces (87 papers) and Neural dynamics and brain function (71 papers). Dewen Hu collaborates with scholars based in China, United States and United Kingdom. Dewen Hu's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dewen Hu

345 papers receiving 11.4k citations

Hit Papers

Identifying major depression using whole-brain functional... 2012 2026 2016 2021 2012 2019 2023 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dewen Hu China 58 6.2k 2.1k 1.8k 1.7k 1.3k 367 11.7k
Jianfeng Feng China 53 6.1k 1.0× 1.7k 0.8× 1.5k 0.8× 2.6k 1.5× 1.3k 1.0× 358 13.0k
Seong‐Whan Lee South Korea 62 6.2k 1.0× 1.1k 0.5× 3.0k 1.7× 4.8k 2.9× 2.0k 1.5× 508 14.3k
Xun Chen China 54 3.9k 0.6× 700 0.3× 874 0.5× 3.7k 2.3× 633 0.5× 497 14.0k
Bin Hu China 62 5.6k 0.9× 709 0.3× 2.6k 1.4× 2.1k 1.3× 278 0.2× 748 16.6k
Tülay Adalı United States 57 10.2k 1.7× 4.2k 2.0× 1.7k 1.0× 946 0.6× 341 0.3× 376 15.7k
Ram Bilas Pachori India 66 7.7k 1.2× 1.6k 0.8× 1.9k 1.0× 1.7k 1.1× 890 0.7× 298 13.3k
Danilo P. Mandic United Kingdom 65 3.6k 0.6× 495 0.2× 3.6k 2.0× 2.1k 1.3× 718 0.5× 548 17.2k
Deniz Erdoğmuş United States 46 2.1k 0.3× 1.3k 0.6× 1.8k 1.0× 1.3k 0.8× 667 0.5× 413 7.3k
David J. Heeger United States 84 22.2k 3.6× 1.8k 0.9× 837 0.5× 6.1k 3.7× 3.4k 2.5× 218 28.9k
Jean‐Philippe Thiran Switzerland 60 5.5k 0.9× 7.1k 3.4× 1.2k 0.7× 3.2k 1.9× 668 0.5× 563 16.7k

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 of co-authors of Dewen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Dewen Hu. A scholar is included among the top collaborators of Dewen Hu 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 Dewen Hu. Dewen Hu 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
1.
Hu, Dewen, et al.. (2024). Domain adversarial learning with multiple adversarial tasks for EEG emotion recognition. Expert Systems with Applications. 266. 126028–126028. 6 indexed citations
2.
Liu, Wei, et al.. (2024). Gene expression and brain imaging association study reveals gene signatures in major depressive disorder. Brain Communications. 6(4). fcae258–fcae258. 1 indexed citations
3.
Qin, Zheng, Hao Yu, Changjian Wang, et al.. (2023). GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9806–9821. 84 indexed citations breakdown →
4.
Yu, Yang, et al.. (2023). Multi-Brain Coding Expands the Instruction Set in SSVEP-Based Brain-Computer Interfaces. IEEE Transactions on Human-Machine Systems. 53(5). 915–923. 4 indexed citations
5.
Peng, Limin, Chenping Hou, Jianpo Su, et al.. (2023). Hippocampus Parcellation via Discriminative Embedded Clustering of fMRI Functional Connectivity. Brain Sciences. 13(5). 757–757.
6.
Zheng, Kaizhong, Baojuan Li, Hongbing Lu, et al.. (2022). Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression. European Archives of Psychiatry and Clinical Neuroscience. 273(1). 169–181. 2 indexed citations
7.
Shen, Hui, et al.. (2022). DC-tCNN: A Deep Model for EEG-Based Detection of Dim Targets. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1727–1736. 15 indexed citations
8.
Yu, Yang, Yadong Liu, Erwei Yin, et al.. (2019). An Asynchronous Hybrid Spelling Approach Based on EEG–EOG Signals for Chinese Character Input. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(6). 1292–1302. 75 indexed citations
9.
Liu, Yadong, et al.. (2019). EEG-Based Visual Classification with Recurrent Neural Network. 59–63. 2 indexed citations
10.
Luo, Zhiguo, Ling‐Li Zeng, Jian Qin, et al.. (2019). Functional Parcellation of Human Brain Precuneus Using Density-Based Clustering. Cerebral Cortex. 30(1). 269–282. 40 indexed citations
11.
Qin, Jian, Hui Shen, Ling‐Li Zeng, et al.. (2019). Dissociating individual connectome traits using low-rank learning. Brain Research. 1722. 146348–146348. 3 indexed citations
12.
Shen, Hui, et al.. (2018). Multi-Center Brain Imaging Classification Using a Novel 3D CNN Approach. IEEE Access. 6. 49925–49934. 39 indexed citations
13.
Yin, Erwei, Jing Jin, Rami Saab, et al.. (2018). Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks. 102. 87–95. 127 indexed citations
14.
Zeng, Ling‐Li, Yang Liao, Zongtan Zhou, et al.. (2015). Default network connectivity decodes brain states with simulated microgravity. Cognitive Neurodynamics. 10(2). 113–120. 10 indexed citations
15.
Yin, Erwei, Zongtan Zhou, Jun Jiang, Yang Yu, & Dewen Hu. (2014). A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller. IEEE Transactions on Biomedical Engineering. 62(6). 1447–1456. 202 indexed citations
16.
Yin, Erwei, Zongtan Zhou, Jun Jiang, et al.. (2013). A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEP. IEEE Transactions on Biomedical Engineering. 61(2). 473–483. 142 indexed citations
17.
Li, Baojuan, Li Liu, Karl Friston, et al.. (2012). A Treatment-Resistant Default Mode Subnetwork in Major Depression. Biological Psychiatry. 74(1). 48–54. 261 indexed citations
18.
Liu, Li, Ling‐Li Zeng, Yaming Li, et al.. (2012). Altered Cerebellar Functional Connectivity with Intrinsic Connectivity Networks in Adults with Major Depressive Disorder. PLoS ONE. 7(6). e39516–e39516. 108 indexed citations
19.
Fang, Peng, Ling‐Li Zeng, Hui Shen, et al.. (2012). Increased Cortical-Limbic Anatomical Network Connectivity in Major Depression Revealed by Diffusion Tensor Imaging. PLoS ONE. 7(9). e45972–e45972. 77 indexed citations
20.
Chen, Shulin, Weiwei Xia, Lingjiang Li, et al.. (2005). Gray matter density reduction in the insula in fire survivors with posttraumatic stress disorder: A voxel-based morphometric study. Psychiatry Research Neuroimaging. 146(1). 65–72. 101 indexed citations

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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