Yongxiong Wang

2.5k total citations · 1 hit paper
85 papers, 1.7k citations indexed

About

Yongxiong Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Yongxiong Wang has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 19 papers in Cognitive Neuroscience and 19 papers in Artificial Intelligence. Recurrent topics in Yongxiong Wang's work include EEG and Brain-Computer Interfaces (16 papers), Advanced Neural Network Applications (15 papers) and Emotion and Mood Recognition (11 papers). Yongxiong Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Advanced Neural Network Applications (15 papers) and Emotion and Mood Recognition (11 papers). Yongxiong Wang collaborates with scholars based in China, United States and Norway. Yongxiong Wang's co-authors include Zhong Yin, Chuanfei Hu, Jianhua Zhang, Mengyuan Zhao, Jingdong Yang, Zhe Wang, Yu Song, Wei Zhang, Sunjie Zhang and Jiapeng Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Neuroscience and Expert Systems with Applications.

In The Last Decade

Yongxiong Wang

79 papers receiving 1.6k citations

Hit Papers

Transformers for EEG-Based Emotion Recognition: A Hierarc... 2022 2026 2023 2024 2022 40 80 120
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. Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model
    2022 132 citations Zhe Wang, Yongxiong 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
Yongxiong Wang China 19 652 528 476 297 191 85 1.7k
Qiang Gao China 23 584 0.9× 392 0.7× 193 0.4× 136 0.5× 49 0.3× 133 1.5k
Yu Song China 25 606 0.9× 513 1.0× 339 0.7× 134 0.5× 38 0.2× 131 2.1k
Guanglong Du China 20 222 0.3× 254 0.5× 320 0.7× 162 0.5× 120 0.6× 59 1.4k
Zhong Yin China 20 1.3k 2.0× 1.1k 2.0× 341 0.7× 338 1.1× 30 0.2× 79 2.2k
Jianhua Zhang China 22 1.2k 1.8× 884 1.7× 207 0.4× 414 1.4× 30 0.2× 89 2.2k
Feng Duan China 21 807 1.2× 92 0.2× 274 0.6× 134 0.5× 248 1.3× 175 1.9k
Kwee-Bo Sim South Korea 16 354 0.5× 137 0.3× 362 0.8× 406 1.4× 29 0.2× 178 1.4k
Haiwei Dong Canada 21 353 0.5× 114 0.2× 491 1.0× 107 0.4× 33 0.2× 78 1.7k
Yong-Ping Zhao China 26 232 0.4× 336 0.6× 446 0.9× 567 1.9× 37 0.2× 114 2.0k
Elena López Spain 21 783 1.2× 425 0.8× 548 1.2× 135 0.5× 21 0.1× 81 2.3k

Countries citing papers authored by Yongxiong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yongxiong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongxiong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongxiong Wang. A scholar is included among the top collaborators of Yongxiong Wang 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 Yongxiong Wang. Yongxiong Wang 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.
Huang, Shuai, Yongxiong Wang, & Huan Luo. (2025). CCSUMSP: A cross-subject Chinese speech decoding framework with unified topology and multi-modal semantic pre-training. Information Fusion. 119. 103022–103022. 4 indexed citations
2.
Wang, Yongxiong, et al.. (2025). A temporal-spatial feature fusion network for emotion recognition with individual differences reduction. Neuroscience. 569. 195–209. 1 indexed citations
3.
Huang, Shuai, Yongxiong Wang, & Huan Luo. (2025). A dual-branch generative adversarial network with self-supervised enhancement for robust auditory attention decoding. Engineering Applications of Artificial Intelligence. 159. 111122–111122.
4.
Peng, Jin, et al.. (2024). Weakly supervised instance segmentation via class double-activation maps and boundary localization. Signal Processing Image Communication. 127. 117150–117150.
5.
Hu, Chuanfei, et al.. (2024). TMFF: Trustworthy Multi-Focus Fusion Framework for Multi-Label Sewer Defect Classification in Sewer Inspection Videos. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12274–12287. 33 indexed citations
6.
Wang, Yongxiong, et al.. (2024). URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation. Computer Methods and Programs in Biomedicine. 254. 108278–108278. 6 indexed citations
7.
Wang, Zhe, et al.. (2024). Knowledge distillation based lightweight domain adversarial neural network for electroencephalogram-based emotion recognition. Biomedical Signal Processing and Control. 95. 106465–106465. 5 indexed citations
8.
Wang, Yongxiong, et al.. (2024). ViTFSL-Baseline: A Simple Baseline of Vision Transformer Network for Few-Shot Image Classification. IEEE Access. 12. 11836–11849. 7 indexed citations
9.
Wang, Yongxiong, et al.. (2024). A Double Self-Supervised Model for Pitting Detection on Ball Screws. IEEE Access. 12. 49249–49260. 1 indexed citations
10.
Wang, Yongxiong, et al.. (2023). Correction to: Self-attention network for few-shot learning based on nearest-neighbor algorithm. Machine Vision and Applications. 34(2). 2 indexed citations
11.
Hu, Chuanfei, et al.. (2023). Toward Purifying Defect Feature for Multilabel Sewer Defect Classification. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 51 indexed citations
12.
Wang, Yongxiong, et al.. (2023). Self-attention network for few-shot learning based on nearest-neighbor algorithm. Machine Vision and Applications. 34(2). 2 indexed citations
13.
Zhang, Jiapeng, Yongxiong Wang, Lijun Chen, et al.. (2023). Dual-Branch TransV-Net for 3-D Echocardiography Segmentation. IEEE Transactions on Industrial Informatics. 19(12). 11675–11686. 8 indexed citations
14.
Hu, Chuanfei, et al.. (2023). Towards Trustworthy Multi-Label Sewer Defect Classification via Evidential Deep Learning. 1–5. 8 indexed citations
15.
Wang, Zhe, Yongxiong Wang, Jiapeng Zhang, et al.. (2022). Spatial-Temporal Feature Fusion Neural Network for EEG-Based Emotion Recognition. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 55 indexed citations
16.
Zhang, Jiapeng, et al.. (2022). Multiple organ-specific cancers classification from PET/CT images using deep learning. Multimedia Tools and Applications. 81(12). 16133–16154. 10 indexed citations
17.
Wang, Yongxiong, et al.. (2022). Rich Global Feature Guided Network for Monocular Depth Estimation. SSRN Electronic Journal. 3 indexed citations
18.
Yin, Zhong, Mengyuan Zhao, Wei Zhang, et al.. (2019). Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. Neurocomputing. 347. 212–229. 35 indexed citations
19.
Ding, Derui, Yuxuan Shen, Yan Song, & Yongxiong Wang. (2016). Recursive state estimation for discrete time-varying stochastic nonlinear systems with randomly occurring deception attacks. International Journal of General Systems. 45(5). 548–560. 16 indexed citations
20.

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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