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 ======学术论文(Selected Publications)====== ======学术论文(Selected Publications)======
-  -**Shuo Xu**, Congcong Wang, Xin An, and Jianhua Liu, 2025. [[https://​doi.org/​10.1038/​s41597-025-06232-w|CrossDI:​ A Comprehensive Dataset Crossing Three Databases for Calculating Disruption Indexes]]. //​Scientific Data//. [[:​zh:​notes:​disruptive_index|Note]] [[https://​github.com/​pzczxs/​CrossDI-Dataset-and-Source-Code|Dataset & Code]] [[https://​doi.org/​10.6084/​m9.figshare.30356599|Dataset]]+  -**Shuo Xu**, Congcong Wang, Xin An, and Jianhua Liu, 2025. [[https://​doi.org/​10.1038/​s41597-025-06232-w|CrossDI:​ A Comprehensive Dataset Crossing Three Databases for Calculating Disruption Indexes]]. //​Scientific Data//, Vol. 12, pp. 1974. [[:​zh:​notes:​disruptive_index|Note]] [[https://​github.com/​pzczxs/​CrossDI-Dataset-and-Source-Code|Dataset & Code]] [[https://​doi.org/​10.6084/​m9.figshare.30356599|Dataset]]
   -Muhammad Farrukh Shahzad, **Shuo Xu**, Xin An, Muhammad Asif, and Iqra Javed, 2025. [[https://​doi.org/​10.1080/​10494820.2025.2524838|From Policy to Practice: A Thematic Analysis of Generative AI Technologies in China'​s Education Sector]]. //​Interactive Learning Environments//​. ​   -Muhammad Farrukh Shahzad, **Shuo Xu**, Xin An, Muhammad Asif, and Iqra Javed, 2025. [[https://​doi.org/​10.1080/​10494820.2025.2524838|From Policy to Practice: A Thematic Analysis of Generative AI Technologies in China'​s Education Sector]]. //​Interactive Learning Environments//​. ​
   -**Shuo Xu**, Zhen Liu, and Xin An, 2025. [[https://​doi.org/​10.1038/​s41597-025-05388-9|STInt:​ An Integrated Dataset Covering Science, Technology and Industry Information in the Pharmaceutical Field]]. //​Scientific Data//, Vol. 12, pp. 1056. [[https://​doi.org/​10.6084/​m9.figshare.28918607|Dataset (CSV format)]] [[https://​github.com/​pzczxs/​STInt-Dataset|Dataset (MySQL format)]]   -**Shuo Xu**, Zhen Liu, and Xin An, 2025. [[https://​doi.org/​10.1038/​s41597-025-05388-9|STInt:​ An Integrated Dataset Covering Science, Technology and Industry Information in the Pharmaceutical Field]]. //​Scientific Data//, Vol. 12, pp. 1056. [[https://​doi.org/​10.6084/​m9.figshare.28918607|Dataset (CSV format)]] [[https://​github.com/​pzczxs/​STInt-Dataset|Dataset (MySQL format)]]
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   -**Shuo Xu**, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2011. [[http://​www.joics.com/​publishedpapers/​2011_8_6_885_892.pdf|Semi-Supervised Least Squares Support Vector Regression Machines]]. //Journal of Information & Computational Science//, Vol. 8, No. 6, pp. 885-892. ​   -**Shuo Xu**, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2011. [[http://​www.joics.com/​publishedpapers/​2011_8_6_885_892.pdf|Semi-Supervised Least Squares Support Vector Regression Machines]]. //Journal of Information & Computational Science//, Vol. 8, No. 6, pp. 885-892. ​
   -**Shuo Xu**, Xiaodong Qiao, Lijun Zhu, and Huixia Zheng, 2010. [[http://​www.jofcis.com/​showabstract.aspx?​id=684|Deep Analysis on Mining Frequent & Maximal Reference Sequences with Generalized Suffix Tree]]. //Journal of Computational Information Systems//, Vol. 6, No. 7, pp. 2187-2197. ​   -**Shuo Xu**, Xiaodong Qiao, Lijun Zhu, and Huixia Zheng, 2010. [[http://​www.jofcis.com/​showabstract.aspx?​id=684|Deep Analysis on Mining Frequent & Maximal Reference Sequences with Generalized Suffix Tree]]. //Journal of Computational Information Systems//, Vol. 6, No. 7, pp. 2187-2197. ​
-  -安欣,杨禄鑫,**徐硕**,刘迪航,2025. [[https://​doi.org/​10.12171/​j.1000-1522.20250160|融合多源数据的“双碳”颠覆性技术识别助力林业自主控碳转型]]. //​北京林业大学学报//​.+  -安欣,杨禄鑫,**徐硕**,刘迪航,2025. [[https://​doi.org/​10.12171/​j.1000-1522.20250160|林业复杂场景下“双碳”颠覆性技术主题识别]]. //​北京林业大学学报//​,Vol. 47,No. 12,pp. 12-25
   -周海晨,章成志,**徐硕**,毛进,巴志超,张颖怡,2025. 知识创新视角下全文本计量分析应用与思考——2024全文本文献计量分析沙龙综述. //​科技情报研究//​,Vol. 7,No. 4,pp. 82-90. ​   -周海晨,章成志,**徐硕**,毛进,巴志超,张颖怡,2025. 知识创新视角下全文本计量分析应用与思考——2024全文本文献计量分析沙龙综述. //​科技情报研究//​,Vol. 7,No. 4,pp. 82-90. ​
   -**徐硕**,张跃富,安欣,2025. [[https://​doi.org/​10.3772/​j.issn.1000-0135.2025.08.001|全领域多层级科学−技术分类体系映射研究]]. //​情报学报//​,Vol. 44,No. 8,pp. 933-949.   -**徐硕**,张跃富,安欣,2025. [[https://​doi.org/​10.3772/​j.issn.1000-0135.2025.08.001|全领域多层级科学−技术分类体系映射研究]]. //​情报学报//​,Vol. 44,No. 8,pp. 933-949.
zh/outputs/papers.1764154112.txt.gz · 最后更改: 2025/11/26 18:48 由 pzczxs