Mini Review of Emerging Trends in Ethnomusicology and Scientific Innovation in Chinese Musical Heritage Research (2020–2025)
Authors
Department of Music and Music Education, Music and Performing Arts Faculty, Sultan Idris Education University, 35900, Tanjung Malim, Perak (Malaysia)
Department of Music and Music Education, Music and Performing Arts Faculty, Sultan Idris Education University, 35900, Tanjung Malim, Perak (Malaysia)
Article Information
DOI: 10.51244/IJRSI.2026.1303000056
Subject Category: Education
Volume/Issue: 13/3 | Page No: 627-642
Publication Timeline
Submitted: 2026-03-07
Accepted: 2026-03-14
Published: 2026-03-28
Abstract
Ethnomusicology has traditionally focused on the study of music within its cultural and social contexts, emphasizing ethnographic investigation of musical practices and communities. In recent years, however, technological innovation and interdisciplinary research approaches have increasingly influenced the ways in which musical traditions are documented, analysed, and transmitted. This study examines the intersection between ethnomusicology and scientific innovation in relation to Chinese musical culture through a mini-review of Scopus-indexed publications published between 2020 and 2025. Using thematic analysis, nine selected studies were analysed to identify emerging research trends and interdisciplinary developments within this field. The findings reveal four primary research themes: digital innovation in ethnomusicology, technological applications in cultural heritage preservation, analytical approaches to research and innovation mapping, and transnational Chinese musical identity. The analysis demonstrates that contemporary ethnomusicology increasingly incorporates digital technologies such as artificial intelligence, virtual learning platforms, and computational analytical tools, which expand the methodological possibilities for studying musical traditions. At the same time, technological innovation has created new opportunities for safeguarding intangible cultural heritage through digital archives, immersive media technologies, and online dissemination platforms. In addition, the review highlights the growing use of bibliometric analysis and computational methods to examine research trends and innovation systems related to cultural heritage studies. Finally, studies on diaspora communities illustrate how Chinese musical traditions continue to evolve through processes of migration, cultural exchange, and global cultural interaction. Overall, the findings suggest that ethnomusicology is increasingly positioned at the intersection of cultural heritage research, digital humanities, and interdisciplinary innovation studies. By synthesizing recent literature, this study provides insights into how ethnomusicological research related to Chinese musical culture is evolving within technologically mediated and globally interconnected research environments.
Keywords
Ethnomusicology; Chinese folk music; Intangible cultural heritage; Digital innovation
Downloads
References
1. Andalia, R. C., Labrada, R. R., & Castells, M. M. (2010). Scopus: The largest database of peer-reviewed scientific literature available to underdeveloped countries. ACIMED, 21(3). http://scielo.sld.cu/pdf/aci/v21n3/aci02310.pdf [Google Scholar] [Crossref]
2. Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019 [Google Scholar] [Crossref]
3. Boyu, Z., Hui, Y., & Schippers, H. (2015). Report: The rise and implementation of intangible cultural heritage protection for music in China. World of Music, 4(1), 45–59. https://www.jstor.org/stable/43561466 [Google Scholar] [Crossref]
4. Braun, V., & Clarke, V. (2021). Conceptual and design thinking for thematic analysis. Qualitative Psychology, 9(1), 3–26. https://doi.org/10.1037/qup0000196 [Google Scholar] [Crossref]
5. Chatterjee, S. (2023). Diaspora/diasporic. In The Routledge handbook of music and migration: Theories and methodologies (pp. 50–52). Routledge. https://doi.org/10.4324/9781003309437-13 [Google Scholar] [Crossref]
6. Chen, Z. (2024). Research on the influence and optimization of multimedia network security on piano music nationalization creation and dissemination. Revista Electrónica de LEEME, 53, 49–63. https://doi.org/10.58262/LEEME.53.0004 [Google Scholar] [Crossref]
7. Cheng, C., & Pu, L. (2025). The characteristics of spatial and temporal distribution and influencing factors of intangible cultural heritage in Northwestern China. Scientific Reports, 15(1), Article 9968. https://doi.org/10.1038/s41598-025-93949-8 [Google Scholar] [Crossref]
8. Cunningham, S. J., Sharp, D. B., & Bainbridge, D. (2023). Designing a spatial hypermedia musical “lab notebook” to support ethnomusicology research. ACM International Conference Proceeding Series, 100–108. https://doi.org/10.1145/3625135.3625138 [Google Scholar] [Crossref]
9. Fitkov-Norris, E., & Kocheva, N. (2023). Are we there yet? Thematic analysis, NLP, and machine learning for research. Proceedings of the European Conference on Research Methods in Business and Management Studies, 93–102. https://doi.org/10.34190/ecrm.22.1.1616 [Google Scholar] [Crossref]
10. Fu, C. (2024). “TikTok note me” initiates a new situation: The transmission pathway and policy innovation of intangible cultural heritage under the platform technology environment. Documentation, Information and Knowledge, 41(3), 6–14. https://doi.org/10.13366/j.dik.2024.03.006 [Google Scholar] [Crossref]
11. Hazarika, P., & Kashyap, A. (2021). Mapping of research publications on ethnomusicology through the lens of Web of Science. Library Philosophy and Practice, 2021. https://www.proquest.com/openview/eac3a8ad7dcc3c4e2735c3bac72f7bdd/1?pq-origsite=gscholar&cbl=54903 [Google Scholar] [Crossref]
12. Hu, F. (2025). AI-curated soundscapes: Spatial reconfiguration of intangible cultural heritage music in urban China. GeoJournal, 90(6), Article 273. https://doi.org/10.1007/s10708-025-11503-5 [Google Scholar] [Crossref]
13. Hu, M., & Wang, J. (2021). Ethnomusicology in modern classroom: Opportunities for using mobile online learning. Musica Hodie, 21, Article e68982. https://doi.org/10.5216/MH.V21.68982 [Google Scholar] [Crossref]
14. Koskoff, E. (2020). Ethnomusicology and philosophy. In The Oxford handbook of western music and philosophy (pp. 45–64). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199367313.013.4 [Google Scholar] [Crossref]
15. Leenaars, C., Tsaioun, K., Stafleu, F., Rooney, K., Meijboom, F., Ritskes-Hoitinga, M., & Bleich, A. (2021). Reviewing the animal literature: How to describe and choose between different types of literature reviews. Laboratory Animals, 55(2), 129–141. https://doi.org/10.1177/0023677220968599 [Google Scholar] [Crossref]
16. Li, F., Gao, H., Qi, D., Qi, P., He, Y., & Cai, X. (2025). Spatiotemporal differentiation and prediction analysis of China’s marine fishery scientific and technological innovation level. Frontiers in Marine Science, 12, Article 1647837. https://doi.org/10.3389/fmars.2025.1647837 [Google Scholar] [Crossref]
17. Li, J., & Wang, Z. (2022). Spatial distribution and pedigree age of national intangible cultural heritage. Acta Geographica Sinica, 77(12), 3162–3179. https://doi.org/10.11821/dlxb202212014 [Google Scholar] [Crossref]
18. Li, K. (2025). Identity, migration, and performance: Overseas Chinese community music in contemporary New Zealand. Ethnomusicology Forum, 34(3), 358–389. https://doi.org/10.1080/17411912.2025.2554452 [Google Scholar] [Crossref]
19. Li, L. (2020). Application of VR technology in intangible cultural heritage protection. Advances in Intelligent Systems and Computing, 1088, 29–34. https://doi.org/10.1007/978-981-15-1468-5_5 [Google Scholar] [Crossref]
20. Liu, J., Chen, C., Zou, H., Zheng, J., & Gao, D. (2025). Preserving China’s intangible cultural heritage through AR/VR storytelling, social media, and AI narratives. npj Heritage Science, 13(1), Article 685. https://doi.org/10.1038/s40494-025-02265-x [Google Scholar] [Crossref]
21. Liu, Q., Chuangprakhon, S., Seeyo, W., You, L., & Dong, S. (2025). Evolving trends of Chinese folk music and performing arts management in the digital age: A bibliometric analysis of Scopus-indexed articles published between 2013 and 2024. Resital, 26(3), 478–505. https://doi.org/10.24821/resital.v26i3.17607 [Google Scholar] [Crossref]
22. Monova-Zheleva, M., Zhelev, Y., & Nikolova, E. (2020). Intangible cultural heritage presentation and preservation – Challenges and opportunities for museum specialists. Digital Presentation and Preservation of Cultural and Scientific Heritage, 233–240. https://doi.org/10.55630/dipp.2020.10.19 [Google Scholar] [Crossref]
23. Monson, I. (2018). The African diaspora: A musical perspective. Routledge. https://doi.org/10.4324/9781315805344 [Google Scholar] [Crossref]
24. Morgan, D. L., & Nica, A. (2020). Iterative thematic inquiry: A new method for analyzing qualitative data. International Journal of Qualitative Methods, 19. https://doi.org/10.1177/1609406920955118 [Google Scholar] [Crossref]
25. Niu, F., Liu, L., Ren, J., Zhang, L., Xia, F., & Li, X. (2024). Topic identification and evolution analysis of Chinese technological innovation literature research. ACM International Conference Proceeding Series, 149–155. https://doi.org/10.1145/3697467.3697626 [Google Scholar] [Crossref]
26. Shuying, J., & Chuangprakhon, S. (2025). Historical development and musical characteristics for the preservation and transmission of Dongjing Chinese folk music. Yegah Musicology Journal, 8(1), 22–45. https://doi.org/10.51576/ymd.1587823 [Google Scholar] [Crossref]
27. Sturman, J. L. (2022). Research methods in ethnomusicology (music ethnography). In Scholarly research in music: Shared and disciplinary-specific practices (pp. 95–113). Routledge. https://doi.org/10.4324/9781003153924-9 [Google Scholar] [Crossref]
28. Su, J. (2020). Managing intangible cultural heritage in the context of tourism: Chinese officials’ perspectives. Journal of Tourism and Cultural Change, 18(2), 164–186. https://doi.org/10.1080/14766825.2019.1604720 [Google Scholar] [Crossref]
29. Titon, J. T. (2015). Ethnomusicology as the study of people making music. Muzikološki Zbornik, 51(2), 175–185. https://doi.org/10.4312/mz.51.2.175-185 [Google Scholar] [Crossref]
30. Valente, A., Holanda, M., Mariano, A. M., Furuta, R., & da Silva, D. (2022). Analysis of academic databases for literature review in the computer science education field. Proceedings - Frontiers in Education Conference (FIE). https://doi.org/10.1109/FIE56618.2022.9962393 [Google Scholar] [Crossref]
31. Wang, C. (2020). Context of the existence of Chinese national music: Ethnomusicological and anthropological analysis. Voprosy Istorii, 2020(12-3), 216–229. https://doi.org/10.31166/VoprosyIstorii202012Statyi67 [Google Scholar] [Crossref]
32. Wang, C., & Zheng, Z. (2022). Emotion recognition of Chinese traditional folk music using an assembling machine learning method. ACM International Conference Proceeding Series, 30–35. https://doi.org/10.1145/3529399.3529405 [Google Scholar] [Crossref]
33. Wilford, S. (2023). Epilogue: Digital intimacies? ‘Doing’ ethnomusicology in a socially distanced world. In Ethnomusicology and its intimacies: Essays in honour of John Baily (pp. 197–214). Routledge. https://doi.org/10.4324/9781003365792-18 [Google Scholar] [Crossref]
34. Wu, C., & Chen, H. (2025). A bibliometric research method based on big data: Evidence from knowledge graph. International Conference on Intelligent Algorithms for Computational Intelligence Systems. https://doi.org/10.1109/IACIS65746.2025.11210995 [Google Scholar] [Crossref]
35. Xiao, B., & Long, T. (2024). Semi-formal cultural governance and state-sponsored commercialisation in the intangible cultural heritage field: The case of Chongqing, China. International Journal of Intangible Heritage, 19, 168–186. https://www.ijih.org/retrieve/volumeDtl/1155 [Google Scholar] [Crossref]
36. Xu, Z., & Zou, D. (2022). Big data analysis research on the deep integration of intangible cultural heritage inheritance and art design education in colleges and universities. Mobile Information Systems, 2022, Article 1172405. https://doi.org/10.1155/2022/1172405 [Google Scholar] [Crossref]
37. Yang, X.-H., Luo, W., Chen, H.-W., Lin, J.-F., Wang, M., Zhu, H., Kang, L., Zhou, J.-M., Sun, Y.-H., & Ge, L. (2025). Innovative protection, inheritance and utilization of intangible cultural heritage in the new era: System, pathways, and challenges. Journal of Natural Resources, 40(9), 2297–2315. https://doi.org/10.31497/zrzyxb.20250901 [Google Scholar] [Crossref]
38. Zhang, S., Zhang, X., & Liu, J. (2024). Spatial distribution and pedigree age of intangible cultural heritage along the Grand Canal of China. Heritage Science, 12(1), Article 246. https://doi.org/10.1186/s40494-024-01357-4 [Google Scholar] [Crossref]
39. Zhang, Y., & Razali, C. S. M. M. (2025). Cultural transmission of guzheng in Malaysian Chinese communities: A systematic-informed integration. Asian-European Music Research Journal, 16, 25–40. https://doi.org/10.30819/aemr.16-3 [Google Scholar] [Crossref]
40. Zhou, Y., Sun, J., & Huang, Y. (2019). The digital preservation of intangible cultural heritage in China: A survey. Preservation, Digital Technology and Culture, 48(2), 95–103. https://doi.org/10.1515/pdtc-2019-0004 [Google Scholar] [Crossref]
41. Zhu, Y., & Liu, J. (2021). Cultural reproduction: Ethnic festivals as intangible cultural heritage in China. Loisir et Société, 44(3), 415–428. https://doi.org/10.1080/07053436.2021.1999090 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
- Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
- “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
- Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
- Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study