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Yongzhen Wang

Biographic Data

ID8101694
NAMEYongzhen Wang
GIVEN NAMESYongzhen
FAMILY NAMEWang
SIGNATUREWANG Y
AFFILIATIONSDalian University of Technology
ORCID0000-0001-6002-4838
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Decoupled Multimodal Fusion Network Based on Peripheral Physiological Signals

    Open Access•Tianqi Fan, Sen Qiu et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Multimodal peripheral physiological signal fusion for emotion recognition seeks to perceive or recognize human emotions using peripheral modalities such as electromyography, electrodermal activity, and respiratory wave. Previous approaches to multimodal fusion primarily focus on emotion-sensitive signals such as electroencephalogram (EEG), often overlooking the potential value of peripheral physiological signals in emotion recognition. Moreover, …

  • Comparison of citation impact between pre-and post-publication peer-selected best papers

    Open Access•Yongzhen Wang•ARTICLE•Scientometrics•2024

  • Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore

    Open Access•Wencan Tian, Yongzhen Wang et al.•ARTICLE•Scientometrics•2024

No prominent works on this page.

  • Comparison of citation impact between pre-and post-publication peer-selected best papers

    Open Access•Yongzhen Wang•ARTICLE•Scientometrics•2024

  • Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore

    Open Access•Wencan Tian, Yongzhen Wang et al.•ARTICLE•Scientometrics•2024

  • Decoupled Multimodal Fusion Network Based on Peripheral Physiological Signals

    Open Access•Tianqi Fan, Sen Qiu et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Multimodal peripheral physiological signal fusion for emotion recognition seeks to perceive or recognize human emotions using peripheral modalities such as electromyography, electrodermal activity, and respiratory wave. Previous approaches to multimodal fusion primarily focus on emotion-sensitive signals such as electroencephalogram (EEG), often overlooking the potential value of peripheral physiological signals in emotion recognition. Moreover, …

Bibliometrics (2 works) · Computer Science (2 works) · Information retrieval (2 works) · Library science (2 works) · Mathematics (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Causality (physics) (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae