[1] 杨铁军. 专利信息利用导引[M]. 北京:知识产权出版社, 2011. (YANG T J. Introduction to the utilization of patent information[M]. Beijing:Intellectual Property Publishing House, 2011.)
[2] 黄颖, 叶冬梅, 丁凤, 等. 技术演化路径识别:内涵释义与研究进展[J]. 图书情报工作, 2022, 66(22):142-154. (HUANG Y, YE D M, DING F, et al. Identification of technology evolution pathway:connotation interpretation and research progress[J]. Library and information service, 2022, 66(22):142-154.)
[3] LU Z, MA Y, SONG L. Patent citation network analysis based on improved main path analysis:mapping key technology trajectory[M]//SUN X, ZHANG X, XIA Z, BERTINO E. Advances in artificial intelligence and security. ICAIS 2021. Communications in computer and information science, 1423:158-171.
[4] PARK H, MAGEE C L. Tracing technological development trajectories:a genetic knowledge persistence-based main path approach[J]. Plos one, 2017, 12(1):1-18.
[5] FILIPPIN F. Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry[J]. Scientometrics, 2021, 126:6443-6477.
[6] HUMMON N P, DOREAIN P. Connectivity in a citation network:the development of DNA theory[J]. Social networks, 1989(11):39-63.
[7] DE NOOY W, MRVAR A, BATAGELJ V. Exploratory social network analysis with Pajek[M]. Revised and expanded 2nd ed. New York:Cambridge University Press, 2011.
[8] 张娴, 方曙. 专利引用网络主路径方法研究述评与展望[J]. 图书情报工作, 2016, 60(20):140-148. (ZHANG X, FANG S. Research review on the main path analysis of patent citation networks[J]. Library and information service, 2016, 60(20):140-148.)
[9] YOON S, MUN C, RAGHAVAN N, et al. Hierarchical main path analysis to identify decompositional multi-knowledge trajectories[J]. Journal of knowledge management, 2020, 25(2):454-476.
[10] 颜端武, 白敬毅, 李晨晨, 等. 科技领域技术演进的多路径识别及创新特性分析[J]. 情报理论与实践, 2021, 44(11):99-107. (YAN D W, BAI J Y, LI C C, et al. Multi-path identification and innovation characteristics analysis in the process of technology evolution[J]. Information studies:theory & application, 2021, 44(11):99-107.)
[11] 马俊红, 张文凤, 冯鑫, 等. 克服引文滞后的科技演化主路径测绘[J]. 情报杂志, 2021, 40(5):186-192. (MA J H, ZHANG W F, FENG X, et al. Mapping the main path of technological evolution to overcome the lag of citation[J]. Journal of intelligence, 2021, 40(5):186-192.)
[12] LAI K K, BHATT P, KUMAR V, et al. Identifying the impact of patent family on the patent trajectory:a case of thin film solar cells technological trajectories[J]. Journal of informetrics, 2021, 15(2):101143.
[13] 陈力, 肖晨剑, 常旭华. 基于专利引用和文本信息的自动驾驶技术演化[J]. 同济大学学报(自然科学版), 2022, 50(8):1198-1206. (CHEN L, XIAO C J, CHANG X H. Evolution of automatic driving technology based on patent citation and text information[J]. Journal of Tongji University (natural science), 2022, 50(8):1198-1206.)
[14] 姜军, 傅凯, 武兰芬. 基于双源引文网络的技术路径识别及融合研究——以无线充电技术领域为例[J]. 情报探索, 2023(5):10-16. (JIANG J, FU K, WU L F. Research on technology path identification and fusion based on dual-source citation network:case study of wireless charging technology[J]. Information research, 2023(5):10-16.)
[15] 宋爱伟, 刘心蕊, 孙昊宇, 等. 基于主路径分析的科技演化模式研究——以基因工程疫苗领域为例[J]. 科技管理研究, 2023, 43(14):141-149. (SONG A W, LIU X R, SUN H N, et al. Analysis of science and technology evolution patterns based on main path analysis:a case in the field of genetically engineered vaccines[J]. Science and technology management research, 2023, 43(14):141-149.)
[16] 潘微微, 菅利荣, 刘涛. 基于关键节点与关键路径的专利集群网络演进研究[J]. 科技进步与对策, 2020, 37(12):1-8. (PAN W W, JIAN L R, LIU T. Research on evolution of patent cluster network based on key nodes and critical path[J]. Science & technology progress and policy, 2020, 37(12):1-8.)
[17] 万小萍. 基于引文网络分析的知识主路径研究[D]. 武汉:华中师范大学, 2020. (WAN X P. Study of knowledge main path based on citation network analysis[D]. Wuhan:Central China Normal University, 2020.)
[18] WATANABE I, TAKAGI S. Technological trajectory analysis of patent citation networks:examining the technological evolution of computer graphic processing systems[J]. The review of socionetwork strategies, 2021, 15:1-25.
[19] 刘旭昭. 基于专利网络分析的中国疫苗产业技术发展演进研究[D]. 广州:华南理工大学, 2021. (LIU X Z. Research on the development and evolution of Chinese vaccine industry technology based on patent network analysis[D]. Guangzhou:South China University of Technology, 2021)
[20] 孙晓玲, 杨颂颂. 基于表示学习的引证网络关键路径识别研究[J]. 科学与管理, 2022, 42(4):1-8. (SUN X L, YANG S S. Research on the key path recognition of citation network based on representation learning[J]. Science and management, 2022, 42(4):1-8.)
[21] 王雪冰. 复杂网络视角下颠覆性技术创新扩散机制研究[D]. 长春:吉林大学, 2022. (WANG X B. The diffusion mechanism of disruptive technology innovation from perspective of complex networks[D]. Changchun:Jilin University, 2022.)
[22] GARFIELD E. Patent citation indexing and the notions of novelty, similarity and relevance[J]. Journal of chemical documentation, 1966, 6(2):63-65.
[23] JAFFE A B, TRAJTENBERG M, HENDERSON R. Geographic localization of knowledge spillovers as evidenced by patent citations[J]. Quarterly journal of economics, 1993(8):577-598.
[24] HALL B. Innovation and market value[M]//Productivity, innovation and economic performance. Cambridge:Cambridge University Press, 2000:177-198.
[25] 李睿, 孟连生. 论专利引用行为与期刊论文引用行为在揭示知识关联方面的差异[J]. 情报学报, 2010, 29(3):474-478. (LI R, MENG L S. Difference between paper citations and patent citations in the presentation of knowledge link[J]. Journal of the China Society for Scientific and Technical Information, 2010, 29(3):474-478.)
[26] 武庆圆, 赵思迪. 不同引证主体的专利引文实证比较研究——以5G通信技术领域为例[J]. 农业图书情报学报, 2021, 33(3):16-27. (WU Q Y, ZHAO S D. Comparative research of patent citations of patent applicants and patent examiners:a case study in the field of 5G communication technologies[J]. Journal of library and information science in agriculture, 2021, 33(3):16-27.)
[27] 左凤茹, 陈存敬. 改进动机对公知常识使用的影响[J]. 专利代理, 2019(1):31-37. (ZUO F R, CHEN C J. The impact of improving motivation on the use of common knowledge[J]. Patent agency, 2019(1):31-37.)
[28] HOU J H, TANG S Q, ZHANG Y, et al. Does prior knowledge affect patent technology diffusion? a semantic-based patent citation contribution analysis[J]. Journal of informetrics, 2023, 17:101393.
[29] CHANG S H. Key licensing technologies for patents based on university-industry collaboration:patent examiners' perspective[J]. International journal of innovation science, 2018, 11(4):539-560.
[30] 李睿. 基于专利引文分析的科学-技术关联探测模型改进[D]. 北京:中国科学院研究生院, 2011. (LI R. A study on optimizing the model for exploring linkage between science and technology based on patent citation analysis[D]. Beijing:Chines Academy of Science, 2011.)
[31] JAMES T, REGO C, GLOVER F. Sequential and parallel pathrelinking algorithms for the quadratic assignment problem[J]. Intelligent systems IEEE, 2005, 20(4):58-65.
[32] BASSEUR M, SEYNHAEVE F, TALBI E G. Path relinking in Pareto multi-objective genetic algorithms[C]//Proceedings of the third international conference on evolutionary multi-criterion optimization(EMO).Guanajuato:DBLP, 2005:120-134.
[33] ZHANG W X. Configuration landscape analysis and backbone guided local search. Part 1:satisfiablity and maximum satisfibability[J]. Artificial intelligence, 2004, 158(1):1-26.
[34] BOŻEJKO W, WODECKI M. Parallel path-relinking method for the flow shop scheduling problem[C]//Computational Science -ICCS 2008. Berlin:Springer, 2008.
[35] VALLADA E, RUIZ R. Genetic algorithms with path relinking for the minimum tardiness permutation flowshop problem[J]. Omega, 2010, 38(1-2):57-67.
[36] 吴菲菲, 陈肖微, 黄鲁成, 等. 基于语义相似度的技术多主题演化路径识别方法研究[J]. 情报杂志, 2018, 37(5):91-96. (WU F F, CHEN X W, HANG L C. Multi-thematic evolution of technology based on semantic similarity[J]. Journal of intelligence, 2018, 37(5):91-96.)
[37] HU Z Y, FANG S. A SAO-based approach for technology evolution analysis using patent information:case study on graphene sensor[C]. Istanbul:15th international Society of Scientometrics and Informetrics conference, 2015.
[38] 任雪菁. 基于SAO结构的技术主题演化路径研究[D]. 北京:北京协和医学院, 2021. (REN X J. Research on the evolution path of technology topic based on SAO structure[D]. Beijing:Peking Union Medical College, 2021.)
[39] 陈祥. 基于专利引文路径叠加网络的疫苗制备技术演化研究[D]. 长春:吉林大学, 2022. (CHEN X. Research on evolution of vaccine preparation technology based on network with patent citation path superposition[D]. Changchun:Jilin University, 2022.)
[40] OH M, JANG H, KIM S et al. Main path analysis for technological development using SAO structure and DEMATEL based on keyword causality[J]. Scientometrics, 2023, 128:2079-2104.
[41] 杨铁军. 专利文献研究[M]. 北京:知识产权出版社, 2010. (YANG T J. Research on Patent Literature[M]. Beijing:Intellectual Property Publishing House, 2010.)
[42] World Intellectual Property Organization. Guide to the International Patent Classification (2023 edition)[EB/OL].[2023-11-01]. https://www.wipo.int/edocs/pubdocs/en/wipo-guide-ipc-2023-en-guide-to-the-international-patent-classification-2023.pdf.
[43] 马荣康. 基于马尔可夫链的中外专利布局演变特征比较分析——IPC小类层面的证据[J]. 科学学与科学技术管理, 2018, 39(9):73-86. (MA R K. Evolution of domestic and foreign patent deployments based on the Markov chain analysis:an empirical study on the IPC subclass level[J]. Science of science and management of S.&T., 2018, 39(9):73-86.)
[44] BATAGELJ V. Efficient algorithms for citation network analysis[EB/OL].[2015-10-14]. http://www.researchgate.net/publication/1956732.
[45] 彭爱东, 黎欢, 王洋. 基于专利引文网络的技术演进路径研究——以激光显示技术领域为例[J]. 情报理论与实践, 2013, 36(8):57-61. (PENG A D, LI H, WANG Y. Research on the technology evolution path based on patent citation network:a case study in the field of laser display technology[J]. Information studies:theory & application, 2013, 36(8):57-61.)
[46] 韩毅. 基于引文网络主路径的领域演化结构与知识扩散研究[D]. 北京:中国科学院研究生院, 2011. (HAN Y. Studies on domain evolution structure and knowledge diffusion based on main path in citation network[D]. Beijing:Chines Academy of Science, 2011.)
[47] IMEC. Wavelength-sensitive detector with elongate nanostructures:US, 7598482B1[P]. 2009-10-06.
[48] INVISAGE TECHNOLOGIES INC. Photodetectors and photovoltaics based on semiconductor nanocrystals:US, 8803128B2[P]. 2014-08-12.
[49] INVISAGE TECHNOLOGIES INC. Photodetectors and photovoltaics based on semiconductor nanocrystals:US, 9257582B2[P]. 2016-02-09.