zh:outputs:papers
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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.1766148872.txt.gz · 最后更改: 2025/12/19 20:54 由 pzczxs