Weidong Dang

1.9k total citations · 1 hit paper
47 papers, 1.6k citations indexed

About

Weidong Dang is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Weidong Dang has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 11 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Weidong Dang's work include EEG and Brain-Computer Interfaces (25 papers), Neural dynamics and brain function (13 papers) and Complex Systems and Time Series Analysis (11 papers). Weidong Dang is often cited by papers focused on EEG and Brain-Computer Interfaces (25 papers), Neural dynamics and brain function (13 papers) and Complex Systems and Time Series Analysis (11 papers). Weidong Dang collaborates with scholars based in China, Hong Kong and United Kingdom. Weidong Dang's co-authors include Zhongke Gao, Yuxuan Yang, Qing Cai, Chaoxu Mu, Xinmin Wang, Siyang Zuo, Celso Grebogi, Guanrong Chen, Xiaolin Hong and Kai Ma and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Weidong Dang

41 papers receiving 1.5k citations

Hit Papers

EEG-Based Spatio–Temporal Convolutional Neural Network fo... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
    2019 369 citations Zhongke Gao, Xinmin Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weidong Dang China 20 807 386 231 220 204 47 1.6k
Qing Cai China 17 641 0.8× 348 0.9× 148 0.6× 207 0.9× 180 0.9× 41 1.3k
Yuxuan Yang China 23 990 1.2× 575 1.5× 244 1.1× 278 1.3× 356 1.7× 47 2.1k
Rongrong Fu China 17 474 0.6× 395 1.0× 192 0.8× 197 0.9× 18 0.1× 67 1.1k
David Cuesta–Frau Spain 19 351 0.4× 53 0.1× 254 1.1× 401 1.8× 181 0.9× 72 1.1k
Michael Eichler Netherlands 22 610 0.8× 125 0.3× 49 0.2× 51 0.2× 262 1.3× 51 1.8k
Xiangwei Zheng China 21 539 0.7× 449 1.2× 75 0.3× 93 0.4× 27 0.1× 136 1.6k
Ziyu Jia China 20 759 0.9× 417 1.1× 112 0.5× 77 0.3× 18 0.1× 64 1.3k
Rajeev Sharma India 18 893 1.1× 131 0.3× 190 0.8× 360 1.6× 31 0.2× 67 1.7k
Mosabber Uddin Ahmed Bangladesh 14 235 0.3× 37 0.1× 158 0.7× 202 0.9× 180 0.9× 32 855
Fabio La Foresta Italy 18 743 0.9× 29 0.1× 203 0.9× 306 1.4× 87 0.4× 58 1.3k

Countries citing papers authored by Weidong Dang

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidong Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Dang. A scholar is included among the top collaborators of Weidong Dang 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 Weidong Dang. Weidong Dang 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.
Perc, Matjaž, et al.. (2025). Manifold-based multi-branch transfer learning for MI-EEG decoding. Chaos Solitons & Fractals. 196. 116326–116326.
2.
Dang, Weidong, et al.. (2025). An attention-based multiple band interaction network for motor imagery EEG decoding. Applied Soft Computing. 184. 113750–113750.
3.
Gao, Zhongke, et al.. (2025). A frequency-guided temporal convolutional network with transfer learning for motor imagery classification. Biomedical Signal Processing and Control. 112. 108590–108590.
4.
Dang, Weidong, et al.. (2024). A novel multiphase flow water cut modeling framework based on flow behavior-heuristic deep learning. Engineering Applications of Artificial Intelligence. 136. 108956–108956. 4 indexed citations
5.
Dang, Weidong, Dongmei Lv, Xinlin Sun, et al.. (2024). Flashlight-Net: A Modular Convolutional Neural Network for Motor Imagery EEG Classification. IEEE Transactions on Systems Man and Cybernetics Systems. 54(7). 4507–4516. 7 indexed citations
6.
Lv, Dongmei, et al.. (2024). Multilayer Visibility Graph-Based Ordinal Network for Revealing Gas–Liquid Nonlinear Dynamic Flow Behaviors. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 4 indexed citations
7.
Sun, Xinlin, Chao Ma, Mengyu Li, et al.. (2022). A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 23 indexed citations
8.
Li, Mengyu, et al.. (2022). DSCNN: Dilated Shuffle CNN Model for SSVEP Signal Classification. IEEE Sensors Journal. 22(12). 12036–12043. 16 indexed citations
9.
Dang, Weidong, Mengyu Li, Dongmei Lv, Xinlin Sun, & Zhongke Gao. (2021). MHLCNN: Multi-Harmonic Linkage CNN Model for SSVEP and SSMVEP Signal Classification. IEEE Transactions on Circuits & Systems II Express Briefs. 69(1). 244–248. 14 indexed citations
10.
Gao, Zhongke, et al.. (2021). Stage-Wise Densely Connected Network for Parameter Measurement of Two-Phase Flows. IEEE Sensors Journal. 21(16). 18123–18131. 8 indexed citations
11.
Gao, Zhongke, et al.. (2021). Attention-Based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG Classification. IEEE Journal of Biomedical and Health Informatics. 25(8). 2887–2894. 21 indexed citations
12.
Dang, Weidong, et al.. (2021). Studying Multi-Frequency Multilayer Brain Network via Deep Learning for EEG-Based Epilepsy Detection. IEEE Sensors Journal. 21(24). 27651–27658. 17 indexed citations
13.
Gao, Zhongke, Weidong Dang, Xinmin Wang, et al.. (2020). Multitask-Based Temporal-Channelwise CNN for Parameter Prediction of Two-Phase Flows. IEEE Transactions on Industrial Informatics. 17(9). 6329–6336. 28 indexed citations
14.
Gao, Zhongke, Weidong Dang, Xinmin Wang, et al.. (2020). Complex networks and deep learning for EEG signal analysis. Cognitive Neurodynamics. 15(3). 369–388. 152 indexed citations
15.
Gao, Zhongke, et al.. (2020). Multilayer Network from Multiple Entropies for Characterizing Gas-Liquid Nonlinear Flow Behavior. International Journal of Bifurcation and Chaos. 30(1). 2050014–2050014. 11 indexed citations
16.
Gao, Zhongke, et al.. (2020). Classification of EEG Signals on VEP-Based BCI Systems With Broad Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 51(11). 7143–7151. 53 indexed citations
17.
Dang, Weidong, et al.. (2019). A Novel Deep Learning Framework for Industrial Multiphase Flow Characterization. IEEE Transactions on Industrial Informatics. 15(11). 5954–5962. 57 indexed citations
18.
Gao, Zhongke, et al.. (2019). Multiresolution Multiplex Network for Analyzing Multichannel Fluid Flow Signals. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 2179–2183. 1 indexed citations
19.
20.
Gao, Zhongke, Weidong Dang, Chaoxu Mu, et al.. (2017). A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System. IEEE Transactions on Industrial Informatics. 14(9). 3982–3988. 77 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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