Publication record · 2026
Adaptive acoustic feedback control in aphasia Therapy: A Graph-Based learning approach for Unintended resonance suppression in Mandarin (Chinese)-Speaking aphasic patients
- Authors
- Year
- 2026
- Publisher
- Elsevier
- Journal or publication
- Egyptian Informatics Journal
- Google Scholar citations
- 0
Journal indicators
CiteScore 2025 (Scopus)9.1
Best quartileQ1
Top 10% in any categoryNo
Positions by category
- Computer Science Applications171/1022 · Q1 · percentile 83
- Information Systems89/519 · Q1 · percentile 82
- Management Science and Operations Research40/225 · Q1 · percentile 82
JCR (Clarivate): Not verified: the supplied ranking file is Scopus CiteScore, not JCR.
Not identified in the supplied report on non-standard bibliometric behaviour (2017–2019).
The report is an independent analysis published in 2021; it is not an official ANECA ban or endorsement list.Research summary
A graph-based adaptive acoustic-feedback system combines graph neural networks and reinforcement learning to model tonal transitions and suppress unintended resonance in Mandarin aphasic speech. The framework is designed for personalized, low-latency clinical feedback.
Original description prepared for this website; consult the publication for its authoritative abstract.DOI 10.1016/j.eij.2026.100908 ↗ · Open-access version ↗ · View Google Scholar record ↗