QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology

Nanting Huang, Xiaoyu Li, Xin Yang, Li Xie, Guowu Yang, Liujiang Zhou

Open source

DOI: 10.3390/s26133997
Published: 2026-06-24
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26133997,
  title = {QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology},
  author = {Nanting Huang and Xiaoyu Li and Xin Yang and Li Xie and Guowu Yang and Liujiang Zhou},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26133997},
  url = {https://doi.org/10.3390/s26133997}
}

RIS

TY  - JOUR
TI  - QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology
AU  - Nanting Huang
AU  - Xiaoyu Li
AU  - Xin Yang
AU  - Li Xie
AU  - Guowu Yang
AU  - Liujiang Zhou
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26133997
UR  - https://doi.org/10.3390/s26133997
ER  -

APA

Huang, N., Li, X., Yang, X., Xie, L., Yang, G., & Zhou, L. (2026). QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology. Sensors. https://doi.org/10.3390/s26133997

Source records

crossref · retrieved 2026-11-10T07:19:27.606Z