Exploring Patterns of Academic-Industrial Collaboration for Digital Transformation Research: A Bibliometric-Enhanced Topic Modeling Method-Reference-Cited by-同舟云学术

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Exploring Patterns of Academic-Industrial Collaboration for Digital Transformation Research: A Bibliometric-Enhanced Topic Modeling Method

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 Portland International Conference on Management of Engineering and Technology (PICMET)
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Author:

Chen Hongshu¹,Zhang Yi²,Jin Qianqian³,Wang Xuefeng¹

Affiliation:

1. Beijing Institute of Technology,School of Management and Economics,Beijing,China

2. University of Technology Sydney,Faculty of Engineering and Information Technology,Sydney,Australia

3. Communication University of China,School of Economics and Management,Beijing,China

Funder

Beijing Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9882529/9882534/09882847.pdf?arnumber=9882847

Reference37 articles.

1. Map of science with topic modeling: Comparison of unsupervised learning and human‐assigned subject classification

2. Finding scientific topics;griffiths;Proceedings of the National Academy of Sciences of the United States of America,2004

3. Topic based research competitiveness evaluation

4. Identifying convergence fields and technologies for industrial safety: LDA-based network analysis

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning;Sustainability;2023-05-03

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