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zh:courses:stinteraction2026:ch01 [2026/04/27 08:38]
pzczxs [推荐读物]
zh:courses:stinteraction2026:ch01 [2026/04/27 09:06] (当前版本)
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 ====== 第一章:高质量数据集构建及应用 ====== ====== 第一章:高质量数据集构建及应用 ======
 ===== 课件 ===== ===== 课件 =====
 +下载:高质量数据集构建及应用【{{ :​zh:​courses:​stinteraction2026:​ch01.pdf |PDF}},{{ :​intranet:​courses:​stinteraction2026:​ch01.pptx |PPT}}】
 ===== 数据集 ===== ===== 数据集 =====
 +  *CSV Format: https://​doi.org/​10.6084/​m9.figshare.28918607 
 +  *MySQL Format: https://​github.com/​pzczxs/​STInt-Dataset
 ===== 推荐读物 ===== ===== 推荐读物 =====
   -Shuo Xu, Zhen Liu, and Xin An, 2026. [[https://​doi.org/​10.1007/​s11192-026-05624-y|Interactions among Organizations from Science, Technology, and Industry on the basis of Percolation Theory: Case Study of Pharmaceutical Industry]]. //​Scientometrics//​.   -Shuo Xu, Zhen Liu, and Xin An, 2026. [[https://​doi.org/​10.1007/​s11192-026-05624-y|Interactions among Organizations from Science, Technology, and Industry on the basis of Percolation Theory: Case Study of Pharmaceutical Industry]]. //​Scientometrics//​.
   -Shuo Xu, Zhen Liu, 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.    -Shuo Xu, Zhen Liu, 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. 
   -Shuo Xu, Zhen Liu, Xin An, Hong Wang, and Hongshen Pang, 2025. [[https://​doi.org/​10.1016/​j.joi.2024.101617|Linkages among Science, Technology, and Industry on the basis of Main Path Analysis]]. //Journal of Informetrics//,​ Vol. 19, No. 1, pp. 101617.   -Shuo Xu, Zhen Liu, Xin An, Hong Wang, and Hongshen Pang, 2025. [[https://​doi.org/​10.1016/​j.joi.2024.101617|Linkages among Science, Technology, and Industry on the basis of Main Path Analysis]]. //Journal of Informetrics//,​ Vol. 19, No. 1, pp. 101617.
 +  -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.
   -Shuo Xu, Xinyi Ma, Hong Wang, Xin An, and Ling Li, 2024. [[https://​doi.org/​10.1016/​j.joi.2024.101557|A Recommendation Approach of Scientific Non-Patent Literature on the basis of Heterogeneous Information Network]]. //Journal of Informetrics//,​ Vol. 18, No. 4, pp. 101557. ​   -Shuo Xu, Xinyi Ma, Hong Wang, Xin An, and Ling Li, 2024. [[https://​doi.org/​10.1016/​j.joi.2024.101557|A Recommendation Approach of Scientific Non-Patent Literature on the basis of Heterogeneous Information Network]]. //Journal of Informetrics//,​ Vol. 18, No. 4, pp. 101557. ​
   -徐硕,孙童菲,罗贵缘,苑洲桐,连佳欣,刘畅,2024. [[https://​doi.org/​10.3969/​j.issn.1672-6081.2024.04.001|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.   -徐硕,孙童菲,罗贵缘,苑洲桐,连佳欣,刘畅,2024. [[https://​doi.org/​10.3969/​j.issn.1672-6081.2024.04.001|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.
-  -Shuo Xu, Zhen Liu, and Xin An, 2023. [[https://ceur-ws.org/Vol-3451/paper3.pdf|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.+  -许海云,王超,陈亮,徐硕,杨冠灿,朱礼军,2023. [[https://doi.org/10.3772/j.issn.1000-0135.2023.07.005|颠覆性技术的科学-技术-产业互动模式识别与分析]]. //情报学报//,Vol. 42, No. 7, pp. 816-831.
   -Shuo Xu, Ling Li, and Xin An, 2023. [[https://​doi.org/​10.1007/​s11192-022-04587-0|Do Academic Inventors have Diverse Interests?​]] //​Scientometrics//,​ Vol. 128, No. 2, pp. 1023-1053. [[:​zh:​notes:​drugbank|Note]]   -Shuo Xu, Ling Li, and Xin An, 2023. [[https://​doi.org/​10.1007/​s11192-022-04587-0|Do Academic Inventors have Diverse Interests?​]] //​Scientometrics//,​ Vol. 128, No. 2, pp. 1023-1053. [[:​zh:​notes:​drugbank|Note]]
   -Shuo Xu, Ling Li, Xin An, Liyuan Hao, and Guancan Yang, 2021. [[https://​doi.org/​10.1007/​s11192-021-04085-9|An Approach for Detecting the Commonality and Specialty between Scientific Publications and Patents]]. //​Scientometrics//,​ Vol. 126, No. 9, pp. 7445-7475. ​   -Shuo Xu, Ling Li, Xin An, Liyuan Hao, and Guancan Yang, 2021. [[https://​doi.org/​10.1007/​s11192-021-04085-9|An Approach for Detecting the Commonality and Specialty between Scientific Publications and Patents]]. //​Scientometrics//,​ Vol. 126, No. 9, pp. 7445-7475. ​
 +  -Shuo Xu, Dongsheng Zhai, Feifei Wang, Xin An, Hongshen Pang, and Yirong Sun, 2019. [[https://​doi.org/​10.1002/​asi.24175|A Novel Method for Topic Linkages between Scientific Publications and Patens]]. //Journal of the Association for Information Science and Technology//,​ Vol. 70, No. 9, pp. 1026-1042. [[:​zh:​notes:​topic_linkages2|Note]] ​
  
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zh/courses/stinteraction2026/ch01.1777250339.txt.gz · 最后更改: 2026/04/27 08:38 由 pzczxs