[1] 逯万辉. 基于专利引文网络挖掘的技术研发路径识别与颠覆性创新信号探测研究[J]. 情报学报, 2024, 43(9): 1059- 1069. (LU W H. Path identification and disruptive innovation of technology R&D based on analysis of patent citation network[J]. Journal of the China Society for Scientific and Technical Information, 2024, 43(9): 1059-1069.)
[2] 王敏, 银路. 技术演化的集成研究及新兴技术演化[J]. 科学学研究, 2008(3): 466-471. (WANG M, YIN L. An integrated study on technology evolution and its new research focus: evolution of emerging technology[J]. Studies in science of science, 2008(3): 466-471.)
[3] 陈果, 王凯月. 情报学研究中的时间序列分析:任务、 过程与问题[J]. 图书情报知识, 2023, 40(6): 89-97, 116. (CHEN G, WANG K Y. Current advances of time series analysis in information science: tasks, processes and problems[J]. Documentation, information & knowledge, 2023, 40(6): 89-97, 116.)
[4] 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.)
[5] 李欣, 谢前前, 黄鲁成, 等. 基于SAO结构语义挖掘的新兴技术演化轨迹研究[J]. 科学学与科学技术管理, 2018, 39(1): 17-31. (LI X, XIE Q Q, HUANG L C, et al. Researching on evolution trace of emerging technology based on subject-actionobject semantic mining[J]. Science of science and management of S.& T., 2018, 39(1): 17-31.)
[6] 王婷, 黄玉凤, 刘心蕊, 等. 基于主路径— 衍生路径的技术轨迹识别—— 以中药产业为例[J]. 情报理论与实践, 2020, 43(8): 128-133. (WANG T, HUANG Y F, LIU X R, et al. Technological trajectory identification based on main pathderived path: taking the industry of traditional Chinese medicine as an example[J]. Information studies: theory & application, 2020, 43(8): 128-133.)
[7] 张奔, 纪亚琨, 杨柳. 技术跃迁与创新生态环境要素关系的实证分析[J]. 情报杂志, 2021, 40(7): 30-35, 44. (ZHANG B, JI Y K, YANG L. An empirical analysis of the relationship between technology transition and innovation ecological environment[J]. Journal of intelligence, 2021, 40(7): 30-35, 44.)
[8] 黄鲁成, 蔡爽. 基于专利的技术跃迁实证研究[J]. 科研管理, 2009, 30(2): 64-69. (HUANG L C, CAI S. An empirical study on the technological transition based on patents[J]. Science research management, 2009, 30(2): 64-69.)
[9] 张立超, 刘怡君. 技术轨道的跃迁与技术创新的演化发展[J]. 科学学研究, 2015, 33(1): 137-145. (ZHANG L C, LIU Y J. Study on the transition of technology trajectory and the evolution of technological innovation[J]. Studies in science of science, 2015, 33(1): 137-145.)
[10] 刘玉梅, 温馨, 孟翔飞. 基于技术轨道跃迁的突破性技术预测方法及应用研究[J]. 情报杂志, 2021, 40(11): 39-45, 15. (LIU Y M, WEN X, MENG X F. Research on breakthrough innovation prediction method and application based on technological trajectory transition[J]. Journal of intelligence, 2021, 40(11): 39- 45, 15.)
[11] 李柏洲, 赵健宇, 苏屹. 基于能级跃迁的组织学习— 知识创造过程动态模型研究[J]. 科学学研究, 2013, 31(6): 913- 922. (LI B Z, ZHAO J Y, SU Y. Research on dynamic model of “organizational learning-knowledge creation” process based on level transition[J]. Studies in science of science, 2013, 31(6): 913-922.)
[12] 高锡荣, 柯俊. 基于能级跃迁的创新转型激发模型[J]. 科技进步与对策, 2016, 33(3): 7-11. (GAO X R, KE J. The energy level jumping model for the innovation transformation of a system[J]. Science & technology progress and policy, 2016, 33(3): 7-11.)
[13] 周慧. 从知识运动的角度认识图书馆[J]. 中国图书馆学报, 2009, 35(6): 110-118. (ZHOU H. Understanding libraries from the perspective of knowledge movement[J]. Journal of library science in China, 2009, 35(6): 110-118.)
[14] 史丽萍, 唐书林. 基于玻尔原子模型的知识创新新解[J]. 科学学研究, 2011, 29(12): 1797-1806, 1853. (SHI L P, TANG S L. A new explanation of knowledge innovation based on the Bohr atom model[J]. Studies in science of science, 2011, 29(12): 1797- 1806, 1853.)
[15] 曹艺文, 许海云, 武华维, 等. 基于引文曲线拟合的新兴技术主题的突破性预测—— 以干细胞领域为例[J]. 图书情报工作, 2020, 64(5): 100-113. (CAO Y W, XU H Y, WU H W, et al. Study on radical innovation prediction to emerging technology topics based on citation curve fitting: taking the field of stem cells as an example[J]. Library and information service, 2020, 64(5): 100-113.)
[16] 邓向荣, 汪小洁, 曹红. 非连续性技术创新理论研究新进展[J]. 经济学动态, 2022, 1: 132-145. (DENG X R, WANG X J, CAO H. New research progress on discontinuous technological innovation theory[J]. Economic perspectives, 2022, 1: 132-145.)
[17] 马铭, 王超, 张伟然, 等. 突变视角下潜在颠覆性技术识别与分析方法研究[J]. 情报理论与实践, 2022, 45(3): 157- 164, 156. (MA M, WANG C, ZHANG W R, et al. Research on the methods of identifying and analyzing potential disruptive technologies from the perspective of catastrophe[J]. Information studies: theory & application, 2022, 45(3): 157-164, 156.)
[18] 李牧南, 赖华鹏, 王良, 等. 基于主题强度突变检测的颠覆性技术识别[J]. 情报杂志, 2023, 42(12): 111-118. (LI M N, LAI H P, WANG L, et al. Disruptive technology identification based on topic strength mutation detection[J]. Journal of intelligence, 2023, 42(12): 111-118.)
[19] HAUPT R, KLOYER M, LANGE M. Patent indicators for the technology life cycle development[J]. Research policy, 2007, 36(3): 387-398.
[20] 杜建, 武夷山. 文献引文轨迹:分类及测度[J]. 情报理论与实践. 2015, 38(7): 52-58. (DU J, WU Y S. Citation trajectory of literature: classification and measure[J]. Information studies: theory & application, 2015, 38(7): 52-58.)
[21] 黄鲁成, 蔡爽. 基于专利的技术轨道实证研究[J]. 科学学研究, 2009, 27(3): 363-367. (HUANG L C, CAI S. Empirical study on the technological trajectory based on patent information[J]. Studies in science of science, 2009, 27(3): 363-367.)
[22] NARIN F, CARPENTER M P, WOOLF P. Technological performance assessments based on patents and patent citations[J]. IEEE transactions on engineering management, 1984, EM-31(4): 172-183.
[23] 李睿, 徐璇, 赵安琪. 专利功能跨越度计量及其情报学意义 —— 以城市治理领域专利为例[J]. 情报理论与实践. 2018, 41(11): 96-100. (LI R, XU X, ZHAO A Q. Measuring a patent’s function crossing indicator and its meaning for information studies: a case study on the patents in the field of urban management in China[J]. Information studies: theory & application, 2018, 41(11): 96-100.)
[24] 周磊, 杨威, 张玉峰. 基于专利挖掘的突破性创新识别框架研究[J]. 情报理论与实践, 2016, 39(9): 73-76, 46. (ZHOU L, YANG W, ZHANG Y F. Research on the identification framework of radical innovation based on patent mining[J]. Information studies: theory & application, 2016, 39(9): 73-76, 46.)
[25] 李天柱, 马佳, 梁萌萌, 等. 生物制药产业技术轨道变迁与机会分析[J]. 技术经济, 2013, 32(7): 4-12. (LI T Z, MA J, LIANG M M, et al. Analysis on transition of technology trajectory and opportunity in bio-pharmaceutical industry[J]. Journal of technology economics, 2013, 32(7): 4-12.)
[26] 毛荐其. 技术创新进化原理、过程与模型[M]. 北京:经济管理出版社, 2006. (MAO J Q. Principles, processes and models of technological innovation evolution[M]. Beijing: Economic Management Press, 2006.)
[27] BASALLA G. The evolution of technology[M]. Cambridge: Cambridge University Press, 1989.
[28] 张翀, 龚艳萍. 专利引证形式下标准化技术的演变路径研究[J]. 科技进步与对策, 2012, 29(23): 14-17. (ZHANG C, GONG Y P. A study of the evolutionary path of standardized technology in the form of patent citation[J]. Science & technology progress and policy, 2012, 29(23): 14-17.)
[29] SOETE L. International diffusion of technology, industrial development and technological leapfrogging[J]. World development, 1985, 13(3): 409-422.
[30] MOERENHOUT T, DEVISCH I, CORNELIS G C. E-health beyond technology: analyzing the paradigm shift that lies beneath[J]. Medicine health care and philosophy, 2018, 21(1): 31-41.
[31] 俞荣建, 王雅萍, 赵一智, 等. 破解“ 卡脖子” 技术难题: “ 情境— 策略” 非对称匹配视角[J]. 中国科学院院刊, 2023, 38(4): 580-592. (YU R J, WANG Y P, ZHAO Y Z, et al. Breakthrough mechanism of “stuck neck” technology: “situationstrategy” asymmetric matching perspective[J]. Bulletin of Chinese Academy of Sciences, 2023, 38(4): 580-592.)
[32] LEE K, LIM C. Technological regimes, catching-up and leapfrogging: findings from the korean industries[J]. Research policy, 2001, 30(3): 459-483.
[33] KAMOLSOOK A, BADIR Y F, FRANK B. Consumers’ switching to disruptive technology products: the roles of comparative economic value and technology type[J]. Technological forecasting and social change, 2019, 140: 328- 340.
[34] 周奇. 基于专利文本挖掘的技术范式转换预见研究[D]. 南京: 南京工业大学, 2016. (ZHOU Q. Study on technology paradigm transformation based on patent text mining: from the perspective of technology life cycle[D]. Nanjing: Nanjing Tech University, 2016.)
[35] 林德明, 郭银鑫. 技术范式转换中的熵变研究[J]. 科学与管理, 2021, 41(2): 10-15, 95. (LIN D M, GUO Y X. Research on the entropy in technology paradigm transfer[J]. Science and management, 2021, 41(2): 10-15, 95.)
[36] 姚志坚. 技术跨越的理论与实证研究[D]. 杭州: 浙江大学, 2002. (YAO Z J. The study of technological frogleap[D]. Hangzhou: Zhejiang University, 2002.)
[37] 周潇, 许银彪, 史益. 基于深度学习与语义挖掘的技术创新组合识别与追踪[J]. 图书情报工作, 2022, 66(10): 33-44. (ZHOU X, XU Y B, SHI Y. Identifying and tracing technological innovation combination based on deep learning and semantic mining[J]. Library and information service, 2022, 66(10): 33-44.)
[38] ARTHUR W B. The nature of technology: what it is and how it evolves[M]. New York: Free Press, 2009.
[39] 邵云飞, 詹坤, 吴言波. 突破性技术创新:理论综述与研究展望[J]. 技术经济, 2017, 36(4): 30-37. (SHAO Y F, ZHAN K, WU Y B. Breakthrough technology innovation: literature review and prospect[J]. Journal of technology economics, 2017, 36(4): 30-37.)
[40] 李乾瑞, 郭俊芳, 黄颖, 等. 基于专利计量的颠覆性技术识别方法研究[J]. 科学学研究, 2021, 39(7): 1166-1175. (LI Q R, GUO J F, HUANG Y, et al. Research on the method of disruptive technology identification based on patent bibliometrics[J]. Studies in science of science, 2021, 39(7): 1166-1175.)
[41] 刘俊婉, 庞博, 徐硕. 基于弱信号的颠覆性技术早期识别研究 [J]. 情报学报, 2023, 42(12): 1395-1411. (LIU J W, PANG B, XU S. Early identification of disruptive technology using weak signals[J]. Journal of the China Society for Scientific and Technical Information, 2023, 42(12): 1395-1411.)
[42] 赵一鸣, 孙运涛, 孙晓蕾. 颠覆性技术早期识别方法及其在氢能源领域的应用[J]. 图书情报工作, 2024, 68(17): 95- 108. (ZHAO Y M, SUN Y T, SUN X L. Early identification method for disruptive technologies and its application in the field of hydrogen energy[J]. Library and information service, 2024, 68(17): 95-108.)
[43] DOSI G. Technological paradigms and technological trajectories: A suggested interpretation of the determinants and directions of technical change[J]. Research policy, 1982, 11(3): 147-162.
[44] 陈培. 技术路径锁定的形成机理与破解研究[D]. 北京: 北京科技大学, 2023. (CHEN P. Research on the formation mechanism and cracking of technology path lock-in[D]. Beijing: University of Science and Technology Beijing, 2023.)
[45] FUNK R J, OWEN-SMITH J. A dynamic network measure of technological change[J]. Management science, 2017, 63(3): 791- 817.
[46] WU L, WANG D, EVANS J A. Large teams develop and small teams disrupt science and technology[J]. Nature, 2019, 566(7744): 378-382.
[47] 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 technological evolution path based on patent citation network[J]. Information studies: theory & application, 2013, 36(8): 57-61.)
[48] 杨武, 陈培, DAVID G. 专利引证视角下技术轨道演化与技术锁定识别—— 以光刻技术为例[J]. 科学学研究, 2022, 40(2): 209-219. (YANG W, CHEN P, DAVID G. Research on technology trajectories evolution and technological lock-in identification: a case study of semiconductor photolithography industry[J]. Studies in science of science, 2022, 40(2): 209-219.)
[49] 杨中楷, 刘佳. 基于专利引文网络的技术轨道识别研究—— 以太阳能光伏电池板领域为例[J]. 科学学研究, 2011, 29(9): 1311-1317. (YANG Z K, LIU J. Research on identification of technological evolution path based on patent citation network: taking solar photovoltaic panels technology as an example[J]. Studies in science of science, 2011, 29(9): 1311-1317.)
[50] HUMMON N P, DEREIAN P. Connectivity in a citation network: The development of DNA theory[J]. Social networks, 1989, 11(1): 39-63.
[51] 许琦. 基于专利引证网络的技术范式分析—— 以半导体制造领域为例[J]. 图书情报工作, 2013, 57(4): 112-119. (XU Q. Technological paradigms based on patent citation network: a case of semiconductor device manufacturing[J]. Library and information service, 2013, 57(4): 112-119.)
[52] 黄鲁成, 石媛嫄, 吴菲菲. 基于专利引用的技术轨道动态分析—— 以太阳能电池为例[J]. 科学学研究, 2013, 31(3): 358-367. (HUANG L C, SHI Y Y, WU F F. Dynamic analysis on identification of technological trajectory based on patent citation network: taking solar cell technology as an example[J]. Studies in science of science, 2013, 31(3): 358-367.)
[53] 刘晓婷, 黄颖, 李瑞婻, 等. 内聚— 耦合视角下科研团队合作模式识别与对比研究[J]. 情报科学, 2022, 40(12): 170-180. (LIU X T, HUANG Y, LI R N, et al. The collaboration pattern and comparative analysis of research teams from the perspective of cohesion and coupling[J]. Information science, 2022, 40(12): 170-180.)
[54] 潘宏铭. 移动互联网应用技术与实践研究[M]. 北京:北京工业大学出版社, 2022. (PAN H M. Research on mobile internet application technology and practice[M]. Beijing: Beijing University of Technology Press, 2022.)
[55] CHATAUT R, NANKYA M, AKL R. 6G networks and the AI revolution-exploring technologies, applications, and emerging challenges[J]. Sensors, 2024, 24(6): 1888.
[56] 王博. 通信产业技术发展的专利计量研究[D]. 大连: 大连理工大学, 2015. (WANG B. Patentometrics on communications industry technology development[D]. Dalian: Dalian University of Technology, 2015.)
[57] 李昌, 周锦锦, 杨中楷. 动态演化过程视角下技术融合生长点识别研究[J]. 图书情报工作, 2022, 66(7): 99-109. (LI C, ZHOU J J, YANG Z K. Research on the identification of technology fusion growth points from the perspective of dynamic evolution process[J]. Library and information service, 2022, 66(7): 99-109.)
[58] 单晓红, 韩晟熙, 刘晓燕. 基于技术主题演化的颠覆性技术识别研究[J]. 情报理论与实践, 2023, 46(8): 113-123. (SHAN X H, HAN S X, LIU X Y. Research on disruptive technology identification based on the evolution of technology themes[J]. Information studies: theory & application, 2023, 46(8): 113-123.)
[59] 高楠, 高嘉骐, 陈洪璞. 新兴技术识别与演化路径分析方法研究 —— 以集成电路领域为例[J]. 情报科学, 2023, 41(3): 127- 135, 172. (GAO N, GAO J Q, CHEN H P. Emerging technology identification method and evolution path: take the field of integrated circuits as an example[J]. Information science, 2023, 41(3): 127-135, 172.)
[60] 胡泽文, 王梦雅, 韩雅蓉. 基于LDA2Vec-BERT的新兴技术主题多维指标识别与演化分析研究—— 以颠覆性技术领域:区块链为例[J]. 现代情报, 2024, 44(9): 42-58. (HU Z W, WANG M Y, HAN Y R. Multidimensional indicator identification and evolution analysis of emerging technology topics based on LDA2Vec-BERT: a case study of blockchain technology in the field of disruptive technology[J]. Journal of modern information, 2024, 44(9): 42-58.)
[61] 刘博文, 白如江. 数据融合视角下颠覆性技术的演化脉络与演化特征研究[J]. 科技管理研究, 2023, 43(8): 32-41. (LIU B W, BAI R J. Research on the evolution context and evolution characteristics of disruptive technologies from the perspective of data fusion[J]. Science and technology management research, 2023, 43(8): 32-41.)
[62] 宋凯, 陈悦. 技术主题动态演化分析的一种新方法: DPLBMM模型 [J]. 情报学报, 2024, 43(1): 25-33. (SONG K, CHEN Y. New approach for the dynamic evolution analysis of technology topics: DPL-BMM[J]. Journal of the China Society for Scientific and Technical Information, 2024, 43(1): 25-33.)
[63] 刘云, 桂秉修, 王小黎. 基于引文网络的颠覆性技术发展路径研究[J]. 科研管理, 2022, 43(11): 32-44. (LIU Y, GUI B X, WANG X L. Research on the disruptive technology development path based on citation network analysis [J]. Science research management, 2022, 43(11): 32-44.)
[64] 刘玉林, 菅利荣. 基于动态专利有向网络的核心技术集群演化分析[J]. 情报杂志, 2021, 40(4): 101-108. (LIU Y L, JIAN L R. The evolution analysis of core technology cluster based on dynamic patent directed network[J]. Journal of intelligence, 2021, 40(4): 101-108.)
[65] 陈悦, 王康, 宋超, 等. 一种用于技术融合与演化路径探测的新方法:技术群相似度时序分析法[J]. 情报学报, 2021, 40(6): 565-574. (CHEN Y, WANG K, SONG C, et al. Technology convergence and evolution path detection: technology group similarity method based on time series analysis[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(6): 565-574.)
[66] 高旭, 白如江, 王效岳. 面向“ 卡脖子” 技术场景的科技前沿发现与态势演化研究—— 以集成电路技术为例[J]. 图书情报工作, 2023, 67(4): 40-54. (GAO X, BAI R J, WANG X Y. Frontier discovery of science and technology and research on situation evolution for “neck stuck” technical scenario: taking integrated circuit technology as an example[J]. Library and information service, 2023, 67(4): 40-54.)
[67] 索琪, 李长升. 多维度视角下新兴产业技术演化测度研究 —— 以我国新能源汽车产业为例[J]. 情报杂志, 2023, 42(10): 140-149. (SUO Q, LI C S. Technology evolution measurement of emerging industries from a multi-dimensional perspective: new energy vehicle industry of China as an example[J]. Journal of intelligence, 2023, 42(10): 140-149.)
[68] 冯立杰, 周炜, 王金凤, 等. 基于SAO语义分析的多维技术演化路径与技术创新机会识别研究[J]. 情报学报, 2022, 41(11): 1149-1160. (FENG L J, ZHOU W, WANG J F, et al. Examining multi-dimensional technology evolution path and technology innovation opportunity identification based on SAO semantic analysis[J]. Journal of the China Society for Scientific and Technical Information, 2022, 41(11): 1149-1160.)
[69] 刘春江, 刘自强, 方曙. 基于SAO的技术主题创新演化路径识别及其可视化研究[J]. 情报学报, 2023, 42(2): 164- 175. (LIU C J, LIU Z Q, FANG S. Evolution path identification and visualization of technological innovation based on SAO[J]. Journal of the China Society for Scientific and Technical Information, 2023, 42(2): 164-175.)