-Shuo Xu, Zhen Liu, and Xin An, 2026. Interactions among Organizations from Science, Technology, and Industry on the basis of Percolation Theory: Case Study of Pharmaceutical Industry. Scientometrics.

1. Shuo Xu, Zhen Liu, Xin An, 2025. STInt: An Integrated Dataset Covering Science, Technology and Industry Information in the Pharmaceutical Field. Scientific Data, Vol. 12, pp. 1056.
2. Shuo Xu, Zhen Liu, Xin An, Hong Wang, and Hongshen Pang, 2025. Linkages among Science, Technology, and Industry on the basis of Main Path Analysis. Journal of Informetrics, Vol. 19, No. 1, pp. 101617.
3. Shuo Xu, Xinyi Ma, Hong Wang, Xin An, and Ling Li, 2024. A Recommendation Approach of Scientific Non-Patent Literature on the basis of Heterogeneous Information Network. Journal of Informetrics, Vol. 18, No. 4, pp. 101557.
4. 徐硕，孙童菲，罗贵缘，苑洲桐，连佳欣，刘畅，2024. 分类体系双向映射视角下的科学-技术互动分析. 中国发明与专利，Vol. 21，No. 4，pp. 4-15.
5. Shuo Xu, Zhen Liu, and Xin An, 2023. Linkages among Science, Technology, and Industry. The Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents and the 3rd AI + Informetrics (EEKE-AII 2023), pp. 13-15.
6. Shuo Xu, Ling Li, and Xin An, 2023. Do Academic Inventors have Diverse Interests? Scientometrics, Vol. 128, No. 2, pp. 1023-1053. Note
7. Shuo Xu, Ling Li, Xin An, Liyuan Hao, and Guancan Yang, 2021. An Approach for Detecting the Commonality and Specialty between Scientific Publications and Patents. Scientometrics, Vol. 126, No. 9, pp. 7445-7475.