[1] 陈亮, 张志强. 技术演化研究方法进展分析[J]. 图书情报工作, 2012, 56(17): 59-66. (CHEN L, ZHANG Z Q. Development of technological evolution research methods[J]. Library and information service, 2012, 56(17): 59-66.)
[2] 黄鲁成, 李晓宇, 李晋. 基于专利的ABOD-RFM技术机会识别方法研究[J]. 情报理论与实践, 2020, 43(9): 144-149. (HUANG L C, LI X Y, LI J. Research on technology opportunity identification method of ABOD-RFM based on patent[J]. Information studies: theory & application, 2020, 43(9): 144-149.)
[3] 江洪, 许露, 杜妍洁. 技术机会识别中企业警觉度探索性因子分析[J]. 图书情报工作, 2016, 60(13): 118-125. (JIANG H, XU L, DU Y J. Analysis on exploratory factor of entrepreneurial alertness in the reorganization of technological opportunity[J]. Library and information service, 2016, 60(13): 118-125.)
[4] OLSSON O. Technological opportunity and growth[J]. Journal of economic growth, 2005, 10: 31-53.
[5] 桂美增, 许学国. 基于深度学习的技术机会预测研究——以新能源汽车为例[J]. 图书情报工作, 2021, 65(19): 130-141. (GUI M Z, XV X G. Approach to technology opportunity prediction based on deep learning: taking the case of new energy vehicles[J]. Library and information service, 2021, 65(19): 130-141.)
[6] 蔡宇晨. 专利视角下新能源汽车技术轨道选择与机会识别研究[D]. 武汉: 华中科技大学, 2022. (CAI Y C. The selection of technological trajectories and identification of technological opportunities in new energy vehicle technologies: from the perspective of patent analysis[D]. Wuhan: Huazhong University of Science and Technology, 2022.)
[7] 张硕, 李荣荣. 创新过程视角下的技术机会识别: 内涵、分类与展望[J]. 科技管理研究, 2024, 44(12): 25-35. (ZHANG S, LI R R. Technology opportunity identification from the perspective of innovation process: connotation, classification, and prospects[J]. Science and technology management research, 2024, 44(12): 25-35.)
[8] 王燕鹏, 韩涛, 陈芳. 融合文献知识聚类和复杂网络的关键技术识别方法研究[J]. 图书情报工作, 2020, 64(16): 105-113. (WANG Y P, HAN T, CHEN F. Identification of key technologies based on literature knowledge clustering and complex network[J]. Library and information service, 2020, 64(16): 105-113.)
[9] 吴菲菲, 陈明, 黄鲁成. 基于GTM的3D生物打印专利技术空白点识别[J]. 情报杂志, 2015, 34(3): 58-64. (WU F F, CHEN M, HUANG L C. Identification of patent vacuums in 3D bioprinting based on GTM[J]. Journal of intelligence, 2015, 34(3): 58-64.)
[10] 文庭孝. 专利信息计量研究综述[J]. 图书情报知识, 2014(5): 72-80. (WEN T X. A review on patentometrics research[J]. Documentation, information & knowledge, 2014(5): 72-80.)
[11] 李玉, 王利, 周志平, 等. 基于DBSCAN聚类改进随机森林算法的专利价值评估方法[J]. 科学技术与工程, 2020, 20(14): 5673-5679. (LI Y, WANG L, ZHOU Z P, et al. Research on patent value evaluation method based on random forest algorithm improved by DBSCAN clustering[J]. Science technology and engineering, 2020, 20(14): 5673-5679.)
[12] 刘怀兰, 刘盛, 周源, 等. 基于多源文本挖掘的技术演化路径识别[J]. 情报理论与实践, 2022, 45(11): 178-187. (LIU H L, LIU S, ZHOU Y, et al. Technology evolution path recognition based on multi-source text mining[J]. Information studies: theory & application, 2022, 45(11): 178-187.)
[13] 韩晓彤, 朱东华, 汪雪锋. 科学推动下技术机会发现方法研究[J]. 图书情报工作, 2022, 66(10): 19-32. (HAN X T, ZHU D H, WANG X F. Research on the method of technology opportunity discovery promoted by science[J]. Library and information service, 2022, 66(10): 19-32.)
[14] 刘娜, 陆高潮, 毛荐其, 等. 基于多源数据和改进链路预测的新能源汽车技术机会研究[J]. 情报杂志, 2024, 43(3): 92-98. (LIU N, LU G C, MAO J Q, et al. Study on technological opportunities in the new energy vehicles field using multi-source data and improved link prediction[J]. Journal of intelligence, 2024, 43(3): 92-98.)
[15] LEE C, JEON D, AHN J M, et al. Navigating a product landscape for technology opportunity analysis: a word2vec approach using an integrated patent-product database[J]. Technovation, 2020, 96: 102140.
[16] 李秀霞, 邵作运. 基于离群主题词跨学科组合的学术创新机会发现研究[J]. 情报理论与实践, 2023, 46(12): 122-130. (LI X X, SHAO Z Y. Research on the discovery of academic innovation opportunity based on the interdisciplinary combination of outlier topic words[J]. Information studies: theory & application, 2023, 46(12): 122-130.)
[17] OGAWA T, KAJIKAWA Y. Assessing the industrial opportunity of academic research with patent relatedness: a case study on polymer electrolyte fuel cells[J]. Technological forecasting and social change, 2015, 90: 469-475.
[18] WANG M Y, FANG S C, CHANG Y H. Exploring technological opportunities by mining the gaps between science and technology: microalgal biofuels[J]. Technological forecasting and social change, 2015, 92: 182-195.
[19] GETOOR L, DIEHL C P. Link mining: a survey[J]. ACM SIGKDD explorations newsletter, 2005, 7(2): 3-12.
[20] 苏娜平, 谭宗颖. 技术机会分析方法研究综述与展望[J]. 情报理论与实践, 2020, 43(11): 179-186. (SU N P, TAN Z Y. Review and vision for the future of the research on technology opportunity analysis methods[J]. Information studies: theory & application, 2020, 43(11): 179-186.)
[21] 旷景明, 胡奕, 李蓓, 等. 基于生成式拓扑映射的专利空白挖掘技术[J]. 情报理论与实践, 2015, 38(12): 133-136, 142. (KUANG J M, HU Y, LI B, et al. Patent blank mining technology based on GTM[J]. Information studies: theory & application, 2015, 38(12): 133-136, 142.)
[22] FENG L, ZHANG H, WANG J, et al. Innovation technology opportunity identification of civil aircraft mechanical connections based on generative topographic map[J]. Plos one, 2023, 18(10): e0293309.
[23] 王雪原, 孙美霞. 不同创新情境下新兴机会识别研究——以碳纤维领域为例[J]. 情报理论与实践, 2022, 45(10): 114-124. (WANG X Y, SUN M X. Identification of emerging opportunities under different innovation configurations: a case study of carbon fiber field[J]. Information studies: theory & application, 2022, 45(10): 114-124.)
[24] 尹航, 李云柯, 王志楠, 等. 科技差距视角下技术机会识别方法优化研究[J]. 科学学研究, 2025, 43(2): 300-310. (YIN H, LI Y K, WANG Z N, et al. Optimization study of technology opportunity identification methods from the perspective of the gap between science and technology[J]. Studies in science of science, 2025, 43(2): 300-310.)
[25] 李子彪, 孙可远, 陈迪, 等. 基于科技差距评估GTM专利地图识别的技术机会[J]. 情报杂志, 2023, 42(7): 147-153, 44. (LI Z B, SUN K Y, CHEN D, et al. Evaluating the technology opportunities of GTM patent map recognition based on science and technology gap[J]. Journal of intelligence, 2023, 42(7): 147-153, 44.)
[26] 王金凤, 陈慧源, 刘振锋, 等. 基于生成式拓扑映射和类比设计方法的技术机会识别[J]. 情报理论与实践, 2023, 46(6): 127-135. (WANG J F, CHEN H Y, LIU Z F, et al. Technology opportunity identification based on generative topographic mapping and analogy design[J]. Information studies: theory & application, 2023, 46(6): 127-135.)
[27] 周钟, 班燚. 基于GTM逆向映射和SD建模的潜在技术机会识别与评价[J]. 情报理论与实践, 2023, 46(10): 107-114, 95. (ZHOU Z, BAN Y. Identification and evaluation of potential technical opportunities based on GTM reverse mapping and SD modeling[J]. Information studies: theory & application, 2023, 46(10): 107-114, 95.)
[28] 胡学钢, 杨恒宇, 林耀进, 等. 基于协同过滤的专利TRIZ分类方法[J]. 情报学报, 2018, 37(5): 512-518. (HU X G, YANG H Y, LIN Y J, et al. Study on classification of patents collaborative filtering oriented to TRIZ[J]. Journal of the China society for scientific and technical information, 2018, 37(5): 512-518.)
[29] 刘冠麟, 赵志耘, 曾文. 一种基于图神经网络的技术融合预测方法[J]. 情报杂志, 2024, 43(12): 117-124, 185. (LIU G L, ZHAO Z Y, ZENG W. A technology convergence prediction method based on graph neural networks[J]. Journal of intelligence, 2024, 43(12): 117-124, 185.)
[30] 杨超, 朱东华, 汪雪锋, 等. 专利技术主题分析: 基于SAO结构的LDA主题模型方法[J]. 图书情报工作, 2017, 61(3): 86-96. (YANG C, ZHU D H, WANG X F, et al. Technical topic analysis in patents: SAO-based LDA modeling[J]. Library and information service, 2017, 61(3): 86-96.)
[31] 张凯, 杨敏纳, 隗玲. 融合Finetuned-BERTopic和大模型的技术主题识别方法研究[J]. 情报理论与实践, 2025, 48(3): 189-198. (ZHANG K, YANG M N, WEI L. Research on method for technology topic identification based on finetuned-BERTopic and large language models[J]. Information studies: theory & application, 2025, 48(3): 189-198.)
[32] 刘婷, 赵亚娟. 技术机会识别研究综述与展望[J]. 农业图书情报学报, 2023, 35(7): 4-17. (LIU T, ZHAO Y J. Review and prospect of research on technology opportunity identification[J]. Journal of library and information science in agriculture, 2023, 35(7): 4-17.)
[33] YU J, HWANG J G, HWANG J, et al. Identification of vacant and emerging technologies in smart mobility through the GTM-based patent map development[J]. Sustainability, 2020, 12(22): 1-22.
[34] JUN S, HAN S H, YU J, et al. Identification of promising vacant technologies for the development of truck on freight train transportation systems[J]. Applied sciences, 2021, 11(2): 499.
[35] 鲍彤, 章成志. ChatGPT中文信息抽取能力测评——以三种典型的抽取任务为例[J]. 数据分析与知识发现, 2023, 7(9): 1-11. (BAO T, ZHANG C Z. Extracting Chinese information with ChatGPT: an empirical study by three typical tasks[J]. Data analysis and knowledge discovery, 2023, 7(9): 1-11.)
[36] 朱宇婧, 陈芳, 王学昭. 基于商业管制清单-专利网络映射的关键核心技术识别研究——以工业软件为例[J]. 数据分析与知识发现, 2024, 8(10): 1-13. (ZHU Y J, CHEN F, X Z. Identifying core technologies based on the commerce control list-patent network mapping: case study of industrial software[J]. Data analysis and knowledge discovery, 2024, 8(10): 1-13.)
[37] 周磊, 吕璐成, 穆克亮. 中美科技博弈背景下的卡脖子技术识别方法研究[J]. 情报杂志, 2023, 42(8): 69-76. (ZHOU L, LV L C, MU K L. Identifying bottleneck technology and predicting its fusion trend under the background of Sino-US S&T game[J]. Journal of intelligence, 2023, 42(8): 69-76.)
[38] YU J, HAN Y J, YANG H, et al. Promising technology analysis and patent roadmap development in the hydrogen supply chain[J]. Sustainability, 2022, 14(21): 14210.
[39] BISHOP C M, SVENSEN M, WILLIAMS C K I. Developments of the generative topographic mapping[J]. Neurocomputing, 1998, 21(1-3): 203-224.
[40] 黄鲁成, 王静静, 李欣, 等. 基于论文和专利的钙钛矿太阳能电池的技术机会分析[J]. 情报学报, 2016, 35(7): 686-695. (HUANG L C, WANG J J, LI X, et al. Detecting technology opportunities based on papers and patents for perovskite solar cells[J]. Journal of the China society for scientific and technical information, 2016, 35(7): 686-695.)
[41] 张凯, 吕璐成, 韩涛, 等. “论文—专利”关联视角下的新兴技术识别研究[J]. 情报理论与实践, 2024, 47(9): 183-191. (ZHANG K, LV L C, HAN T, et al. Research on emerging technology identification from the perspective of “Paper-Patent” correlation[J]. Information studies: theory & application, 2024, 47(9): 183-191.)
[42] 吴菲菲, 米兰, 黄鲁成. 以技术标准为导向的企业研发方向识别与评估[J]. 科学学研究, 2018, 36(10): 1837-1847. (WU F F, MI L, HUANG L C. Identification and evaluation of R&D direction oriented by technical standards[J]. Studies in science of science, 2018, 36(10): 1837-1847.)
[43] 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.)
[44] 许路奎, 范子雄, 王璐玮, 等. 光刻技术与光刻胶材料的进展与未来趋势[J/OL]. 中国激光[2025-09-04]. http://kns.cnki.net/kcms/detail/31.1339.TN.20250103.1333.034.html. (XV L K, FAN Z X, WANG L W, et al.光刻技术与光刻胶材料的进展与未来趋势[J/OL]. Chinese journal of lasers[2025-09-04]. http://kns.cnki.net/kcms/detail/31.1339.TN.20250103.1333.034.html.)
[45] KOZAWA T. Design strategy of extreme ultraviolet resists[J]. Japanese journal of applied physics, 2024, 63(5): 050101.
[46] 王翔, 何建君, 魏佳亮, 等. 极紫外光刻的随机性问题及其研究进展[J]. 中国激光, 2024, 51(7): 93-112. (WANG X, HE J J, WEI J L, et al. Stochastics in EUV lithography and recent research status[J]. Chinese journal of lasers, 2024, 51(7): 93-112.)