Nearly four decades of researches on ultrasonic motors: A bibliometric analysis

Abstract

Ultrasonic Motors (USMs) have attracted considerable attention owing to compact, noiseless, and no electromagnetic interference, which has driven global research aimed at advancing their applications. To chart the research trajectory of USMs, this paper conducts a comprehensive bibliometric analysis, spanning approximately four-decade. Data from the Web of Science database, covering the period from 1985 to 2023, was collected, comprising a total of 1047 academic journal articles. Bibliometric software (Biblioshiny) was employed to dissect key publication metrics, encompassing publication sources, authors, contributing countries and institutions, thematic classifications, and keyword occurrences. The analysis indicates a notable increase in scientific publications on USMs, with China showing the most substantial engagement. Moreover, the prominent individuals, Y.X. Liu, W.S. Chen, and C.S. Zhao are instrumental in shaping the field. Thematic analysis discloses a concentrated effort on performance optimization, and control algorithms, suggesting a future for USMs with predictive and adaptive operations. The integration of artificial intelligence reveals a shift towards advanced control strategies. The importance of interdisciplinary collaboration is further underscored, with leading institutions occupying pivotal roles within research networks. The analysis results also suggests a future where USMs are not only more compact and integrated but also smarter, with enhanced capabilities for high-precision and micro-scale applications. Despite the long history of USMs, this is the first study to apply bibliometric methods to trace their evolution. Furthermore, this research not only highlights the current state of development in USMs, but also uncovers promising future directions, providing a solid foundation for the healthy advancement of USMs.