Research Progress and Challenges of the Application of Digital Finance Driven by Artificial Intelligence Technology

DOI

10.2991/978-94-6463-980-3_5How to use a DOI?

Keywords

Artificial Intelligence; Digital Finance; Bibliometric Analysis; Collaboration

Abstract

This study explores the integration of AI and digital finance, using bibliometrics to analyze 1,000 Web of Science core literatures (2015-2025). Key findings: Authors form symbiotic multi-disciplinary groups led by core scholars; Institutional practices show regional collaboration model differences, with industry-academia collaboration effectiveness critical; National participation trends toward multi-polar complementarity with distinct local paths; Themes evolve from technical layers to application scenarios, driven by emerging technologies. It offers empirical references for optimizing disciplinary collaboration and balancing tech innovation with financial stability.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Meirun Sun
AU  - Faxiang Wang
PY  - 2025
DA  - 2025/12/26
TI  - Research Progress and Challenges of the Application of Digital Finance Driven by Artificial Intelligence Technology
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 44
EP  - 52
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_5
DO  - 10.2991/978-94-6463-980-3_5
ID  - Sun2025
ER  -