Techniques for Fine-Grained Analysis of Scientific and Technological Intelligence

Author:

Zhao Xiaoyan1ORCID,He Yao2ORCID,Gao Yankun1ORCID,Luo Xu1ORCID,Ke Wenjun2ORCID

Affiliation:

1. Beijing Institude of Computer Technology and Application, China

2. SouthEast University, China

Publisher

ACM

Reference41 articles.

1. Research on the path to enhance the analysis capability of science and technology intelligence based on big data technology;Hongliang J;Journal of China Academy of Electronics and Information Technology,2021

2. ArnetMiner

3. K. Lo, L. L. Wang, M. Neumann, and , “S2orc: The semantic scholar open research corpus,” arXiv preprint arXiv:1911.02782, 2019

4. The microsoft academic knowledge graph enhanced: Author name disambiguation, publication classification, and embeddings;Michael F.;Quantitative Science Studies,2022

5. Research on the history and development of open source intelligence work abroad;Hong L.;Journal of Intelligence,2022

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