<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Piano performance represents a refined artistic expression characterized by its expressive and emotive qualities. This study focuses on research papers related to piano performance indexed in the Chinese literature database, utilizing the CiteSpace visualization tool to conduct an analysis. Employing the tool’s capabilities for word frequency, thematic, and cluster analysis, we investigate the temporal and spatial distributions, key terms, research trends, and emergent themes in the literature on piano performance. This multifaceted approach enables a deeper understanding of the developmental stages and overarching trends in the field. Our findings reveal significant shifts in thematic focus and research intensity, with notable increases in themes related to the transformation of piano performance and theoretical exploration post-2017.50, achieving an impact score exceeding 0.425. Prominent emergent keywords include “piano art” (4.9948), “piano certificate” (3.8833), “style” (3.4721), “accompaniment” (3.3155), “piano technique” (2.8888), “piano teaching” (2.6997), “emotional expression” (2.6129), and “intelligence” (2.2193). These findings indicate a trend towards the integration of modern technology and intellectual approaches in piano performance. This study provides a comprehensive overview of the evolution and current trends in piano performance research, offering insights into its future trajectory.</p>
</abstract>

Piano performance represents a refined artistic expression characterized by its expressive and emotive qualities. This study focuses on research papers related to piano performance indexed in the Chinese literature database, utilizing the CiteSpace visualization tool to conduct an analysis. Employing the tool’s capabilities for word frequency, thematic, and cluster analysis, we investigate the temporal and spatial distributions, key terms, research trends, and emergent themes in the literature on piano performance. This multifaceted approach enables a deeper understanding of the developmental stages and overarching trends in the field. Our findings reveal significant shifts in thematic focus and research intensity, with notable increases in themes related to the transformation of piano performance and theoretical exploration post-2017.50, achieving an impact score exceeding 0.425. Prominent emergent keywords include “piano art” (4.9948), “piano certificate” (3.8833), “style” (3.4721), “accompaniment” (3.3155), “piano technique” (2.8888), “piano teaching” (2.6997), “emotional expression” (2.6129), and “intelligence” (2.2193). These findings indicate a trend towards the integration of modern technology and intellectual approaches in piano performance. This study provides a comprehensive overview of the evolution and current trends in piano performance research, offering insights into its future trajectory.

Historical Evolution and Modern Development of Piano Performance - A Visual Analysis Based on Cite space

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Piano performance represents a refined artistic expression characterized by its expressive and emotive qualities. This study focuses on research papers related...

Historical Evolution and Modern Development of Piano Performance - A Visual Analysis Based on Cite space

Publié en ligne: 10 juin 2024

Pages: -

Reçu: 29 févr. 2024

Accepté: 12 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1470

Mots clés
CiteSpace visualization tool, Word frequency analysis, Topic analysis, Cluster analysis, Piano playing

© 2024 Songkun Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Historical Evolution and Modern Development of Piano Performance - A Visual Analysis Based on Cite space

Publié en ligne: 10 juin 2024

Pages: -

Reçu: 29 févr. 2024

Accepté: 12 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1470

Mots clésCiteSpace visualization tool, Word frequency analysis, Topic analysis, Cluster analysis, Piano playing

© 2024 Songkun Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
CiteSpace visualization tool, Word frequency analysis, Topic analysis, Cluster analysis, Piano playing