EVOLUTION OF GLOBAL FUEL CELLS INNOVATION LANDSCAPE BASED ON &#x0201c;COONTRY-ENTERPRISE-PATENT&#x0201d;MULTI-MODE NETWORK PERSPECTIVE

Zhu Xiuzhu; Ji Yakun; Sun Minghan

doi:10.19912/j.0254-0096.tynxb.2022-1289

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 471-480. DOI: 10.19912/j.0254-0096.tynxb.2022-1289

EVOLUTION OF GLOBAL FUEL CELLS INNOVATION LANDSCAPE BASED ON “COONTRY-ENTERPRISE-PATENT”MULTI-MODE NETWORK PERSPECTIVE

Zhu Xiuzhu¹, Ji Yakun², Sun Minghan³

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Abstract

According to the life cycle theory, the development of fuel cell technology is divided into four stages： technology emerging stage （1959—1999）, technology growth I stage （2000—2009）, technology growth II stage （2010—2015）, and technology maturity stage （2016—2022）. The critical technologies of fuel cells and the competitive advantages of enterprises and countries within each stage are quantitatively analyzed to objectively present the evolution of technology and competitive landscape. In addition, since the existing studies on the evaluation of innovation capability of companies and enterprises ignored the value of patents and their position and influence in the patent development network, we combine the SPC （search path counts） algorithm of MPA （main path analysis） and the “country-enterprise-patent” multi-mode network to map the values of patent nodes calculated by SPC to the corresponding enterprises and countries. Therefore, we can provide a comprehensive picture of the innovation situation of fuel cells in three dimensions： patents, enterprises, and countries.

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full cells / information analysis / competitive intelligence / multi-mode network

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Zhu Xiuzhu, Ji Yakun, Sun Minghan. EVOLUTION OF GLOBAL FUEL CELLS INNOVATION LANDSCAPE BASED ON “COONTRY-ENTERPRISE-PATENT”MULTI-MODE NETWORK PERSPECTIVE[J]. Acta Energiae Solaris Sinica. 2023, 44(12): 471-480 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1289

References

[1] 郑思佳, 汪雪锋, 刘玉琴, 等. 关键核心技术竞争态势评估研究[J]. 科研管理, 2021, 42(10): 1-10.
ZHENG S J, WANG X F, LIU Y Q, et al.A research on evaluation of the competitive situation of key core technologies[J]. Science research management, 2021, 42(10): 1-10.
[2] 王兴旺. 专利竞争态势分析: 类型、内容及方法述评: 兼论我国的研究现状[J]. 现代情报, 2017, 37(11): 171-177.
WANG X W.Patent competition situation analysis: type, content, method: review and the research situation in China[J]. Journal of modern information, 2017, 37(11): 171-177.
[3] 邓洁, 余翔, 崔利刚. 基于组合专利信息的技术竞争情报分析与实证研究[J]. 情报杂志, 2013, 32(11): 6-10.
DENG J, YU X, CUI L G.Analysis of competitive technical intelligence based on patent information with case study[J]. Journal of intelligence, 2013, 32(11): 6-10.
[4] 周洪, 魏凤, 孙玉琦. 基于专利技术和应用二维框架的竞争对手识别研究: 以DHA技术为例[J]. 情报理论与实践, 2022, 45(3): 149-156.
ZHOU H, WEI F, SUN Y Q.Research on competitor identification based on two-dimensional framework of patent technology and application: take DHA technology as an example[J]. Information studies: theory & application, 2022, 45(3): 149-156.
[5] 黎欢, 彭爱东. 竞争对手识别的三种专利引文分析方法研究: 以全息摄影技术为例[J]. 情报杂志, 2014, 33(10): 78-82, 71.
LI H, PENG A D.Research of three patent citation analysis methods to identity the competitors: an application to holography research[J]. Journal of intelligence, 2014, 33(10): 78-82, 71.
[6] 孙冰, 徐晓菲, 苏晓. 技术扩散主路径及核心企业的识别研究: 以手机芯片专利引文网络为例[J]. 情报学报, 2019, 38(2): 201-208.
SUN B, XU X F, SU X.Identification of the main path of technology diffusion and core enterprises: a case study of patent citation network in mobile phone chips[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(2): 201-208.
[7] DE NOOY W, MRVAR A, BATAGELJ V.Exploratory social network analysis with pajek: revised and expanded edition for updated software[M]. Cambridge: Cambridge University Press, 2018.
[8] 胡华坤, 李新丽, 薛文东, 等. 基于CiteSpace的锂离子电池用低温电解液知识图谱分析[J]. 储能科学与技术, 2022, 11(1): 379-396.
HU H K, LI X L, XUE W D, et al.Knowledge map analysis of a low-temperature electrolyte for lithium-ion battery based on CiteSpace[J]. Energy storage science and technology, 2022, 11(1): 379-396.
[9] 霍思达, 薛文东, 李新丽, 等. 基于CiteSpace知识图谱的锂电池复合电解质可视化分析[J]. 储能科学与技术, 2022,11(7): 2103-2113.
HUO S D, XUE W D, LI X L, et al.Visualization analysis of composite electrolytes for lithium battery based on CiteSpace[J]. Energy storage science and technology, 2022, 11(7): 2103-2113.
[10] 陈启梅, 郑春晓, 李海英. 基于文献计量的储能技术国际发展态势分析[J]. 储能科学与技术, 2020, 9(1): 296-305.
CHEN Q M, ZHENG C X, LI H Y.Analysis on international development trend of energy storage technology based on bibliometrics[J]. Energy storage science and technology, 2020, 9(1): 296-305.
[11] 陈丽萍, 冯金奎, 田园, 等. 基于文献计量学的锂二次电池研究知识图谱分析[J]. 储能科学与技术, 2021, 10(3): 1196-1205.
CHEN L P, FENG J K, TIAN Y, et al.Knowledge mapping analysis of lithium secondary batteries research based on bibliometrics[J]. Energy storage science and technology, 2021, 10(3): 1196-1205.
[12] 吕鹏辉, 李晶晶, 杨善林. 科学创新视角下的学科共词网络演化研究[J]. 情报学报, 2016, 35(11): 1165-1172.
LYU P H, LI J J, YANG S L.Research on discipline co-word networks evolution under the perspective of scientific innovation[J]. Journal of the China Society for Scientific and Technical Information, 2016, 35(11): 1165-1172.
[13] 许鑫, 陈路遥, 杨佳颖. 数字人文研究领域的知识网络演化: 基于题录信息和引文上下文的关键词共词分析[J]. 情报学报, 2019, 38(3): 322-334.
XU X, CHEN L Y, YANG J Y.Knowledge network evolvement in digital humanities domain: based on keywords co-word analysis of bibliography and citation context[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(3): 322-334.
[14] 张子岩, 张俊艳. 基于高质量专利的储能关键技术国际竞争态势[J]. 储能科学与技术, 2022, 11(1): 321-334.
ZHANG Z Y, ZHANG J Y.International competition of key energy storage technologies based on high-quality patents[J]. Energy storage science and technology, 2022, 11(1): 321-334.
[15] 刘凤朝, 杨爽. 发明人知识特征对其合作网络中心性的影响研究: 基于社会-知识二模网的分析[J]. 研究与发展管理, 2020, 32(4): 73-83.
LIU F C, YANG S.Impact of inventor’s knowledge characteristics on the centrality of collaboration network-analysis based on the social-knowledge two-mode network[J]. R&D management, 2020, 32(4): 73-83.
[16] 刘非凡, 李长玲, 魏绪秋. 基于2-模网络和G-N社群聚类算法的潜在合作者研究: 以国内图情领域的社会网络分析研究为例[J]. 情报理论与实践, 2014, 37(6): 117-122.
LIU F F, LI C L, WEI X Q.Research on the potential co-author based on 2-mode network and G-N community clustering algorithm[J]. Information studies: theory & application, 2014, 37(6): 117-122.
[17] 邱均平, 李威. 基于社会网络分析的博主与评论者关系研究: 以“科学网博客”为例[J]. 情报科学, 2012, 30(7): 959-963.
QIU J P, LI W.Study on the relationship of bloggers and commentators based on the social network analysis: take the web of science blog as example[J]. Information science, 2012, 30(7): 959-963.
[18] 皇甫青红, 刘艳华, 丁军艳. 国际社会网络分析领域作者共被引网络结构研究[J]. 情报杂志, 2013, 32(5): 121-126, 201.
HUANGFU Q H, LIU Y H, DING J Y.Research of author co-citation network structure in the field of international social network analysis[J]. Journal of intelligence, 2013, 32(5): 121-126, 201.
[19] 刘小慧, 李长玲, 刘运梅, 等. 基于作者-核心关键词2-模网络的潜在跨学科合作组合识别: 以图书情报学与计算机科学为例[J]. 情报理论与实践, 2018, 41(2): 105-110.
LIU X H, LI C L, LIU Y M, et al.Identification of the potential interdisciplinary cooperation combinations based on 2-mode net of author and keywords: taking library and information science and computer science for example[J]. Information studies:theory & application , 2018, 41(2): 105-110.
[20] 马秀峰, 郭顺利, 宋凯. 基于LDA主题模型的“内容-方法”共现分析研究: 以情报学领域为例[J]. 情报科学, 2018, 36(4): 69-74.
MA X F, GUO S L, SONG K.Suject-method co-occurrence analysis based on LDA topic model—taking the information science field as an example[J]. Information science, 2018, 36(4): 69-74.
[21] 王文婷, 菅利荣, 刘军, 等. 储能产业产学研合作演化研究: 基于专利网络的视角[J]. 储能科学与技术, 2021, 10(2): 752-765.
WANG W T, JIAN L R, LIU J, et al.Evolution of the IUR cooperation network of China’s energy storage: an analysis of social network based on patent[J]. Energy storage science and technology, 2021, 10(2): 752-765.
[22] LARMINIE J, DICKS A.Fuel cell systems explained. 2nd edition[M]. Chichester: Wiley, 2003: 22, 406.
[23] 姚思童, 司秀丽, 杨军, 等. 燃料电池的工作原理及其发展现状[J]. 沈阳工业大学学报, 1998, 20(1): 42-45.
YAO S T, SI X L, YANG J, et al.The working principle of fuel cell and its development status[J]. Journal of Shenyang university of technology, 1998, 20(1): 42-45.
[24] CROPPER M A J, GEIGER S, JOLLIE D M. Fuel cells: a survey of current developments[J]. Journal of power sources, 2004, 131(1-2): 57-61.
[25] VERSPAGEN B.Mapping technological trajectories as patent citation networks: a study on the history of fuel cell research[J]. Advances in complex systems, 2007, 10(1): 93-115.
[26] 朱科, 石继仙. 燃料电池专利申请状况分析[J]. 电池, 2012, 42(2): 106-109.
ZHU K, SHI J X.Status analysis of patent application for fuel cells[J]. Battery bimonthly, 2012, 42(2): 106-109.
[27] 张志娟, 赵志耘, 张旭, 等. 基于专利分析的固体氧化物燃料电池发展研究[J]. 科技管理研究, 2013, 33(7): 26-31.
ZHANG Z J, ZHAO Z Y, ZHANG X, et al.The development of solid oxide fuel cell based on patent analysis[J]. Science and technology management research, 2013, 33(7): 26-31.
[28] 张海超, 张静, 陈亮, 等. 基于专利的燃料电池及关键技术发展态势研究[J]. 数字图书馆论坛, 2016(8): 29-35.
ZHANG H C, ZHANG J, CHEN L, et al.Research on development trend of fuel cell and key technologies based on patent analysis[J]. Digital library forum, 2016(8): 29-35.
[29] 吴云龙, 赵蕴华. 基于专利的中日美质子交换膜燃料电池技术发展对比研究[J]. 数字图书馆论坛, 2016(8): 16-23.
WU Y L, ZHAO Y H.A comparative study of the technical development on proton exchange membrane fuel cell in China, Japan and the USA[J]. Digital library forum, 2016(8): 16-23.
[30] 吴红, 董坤, 付秀颖. 中国燃料电池领域专利情报对比分析[J]. 情报杂志, 2014, 33(7): 33-37.
WU H, DONG K, FU X Y.A comparative analysis on patent intelligence of fuel cell in China[J]. Journal of intelligence, 2014, 33(7): 33-37.
[31] 陈傲, 柳卸林, 高广宇. 新兴产业高被引专利的形成特征: 以燃料电池为例[J]. 科研管理, 2012, 33(11): 9-15, 23.
CHEN A, LIU X L, GAO G Y.The formation characteristics of highly cited patents in emerging industry based on fuel cell industry[J]. Science research management, 2012, 33(11): 9-15, 23.
[32] 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.
[33] 宓泽锋. 本地知识基础对中国燃料电池技术创新的影响[D]. 上海: 华东师范大学, 2019.
MI Z F.The impact of local knowledge base on China’s fuel cell technology innovation[D]. Shanghai: East China Normal University, 2019.
[34] 许琦, 林晗. 基于专利引证网络的专利产业化评价方法研究: 以燃料电池领域为例[J]. 数字图书馆论坛, 2016(9): 49-56.
XU Q, LIN H.A patent-citation-network-based method for patent industrialization evaluation: a case study of fuel cell[J]. Digital library forum, 2016 (9): 49-56.
[35] HO J C, SAW E C, LU L Y Y, et al. Technological barriers and research trends in fuel cell technologies: a citation network analysis[J]. Technological forecasting and social change, 2014, 82: 66-79.
[36] FRIETSCH R, SCHMOCH U.Transnational patents and international markets[J]. Scientometrics, 2010, 82(1): 185-200.
[37] STERNITZKE C.Defining triadic patent families as a measure of technological strength[J]. Scientometrics, 2009, 81(1): 91-109.
[38] 张奔. 国内外高速轨道技术生命周期特征的比较与启示: 基于专利视角[J]. 情报杂志, 2020, 39(1): 83-90.
ZHANG B.Comparison and enlightenment of life cycle characteristics of high-speed rail technology at home and abroad: the patent perspective[J]. Journal of intelligence, 2020, 39(1): 83-90.
[39] MARTINEZ C.Patent families: when do different definitions really matter?[J]. Scientometrics, 2011, 86(1): 39-63.
[40] 孙明汉, 朱秀珠. 基于同族专利引文网络的燃料电池技术主路径研究[J]. 情报杂志, 2022, 41(12): 51-56.
SUN M H, ZHU X Z.Main path analysis of fuel cell technology based on patent family citation network[J]. Journal of intelligence, 2022, 41(12): 51-56.
[41] 刘秋宏. 德温特专利权人代码编制研究及检索应用[J]. 科技创新导报, 2013, 10(4): 5-8, 11.
LIU Q H.The research on the index compilation and retrieval application of Derwent patentee codes[J]. Science and technology innovation herald, 2013, 10(4): 5-8, 11.
[42] 朱秀珠. 基于专利挖掘的燃料电池技术及其创新主体演化研究[D]. 武汉: 华中科技大学, 2023.
ZHU X Z.Research on the evolution of fuel cell technology and innovation subject based on patent mining[D]. Wuhan: Huazhong University of Science & Technology, 2023.
[43] 衣宝廉. 燃料电池现状与未来[J]. 电源技术, 1998, 22(5): 216-221.
YI B L.Status and future of fuel cell[J]. Chinese journal of power sources, 1998, 22(5): 216-221.
[44] 王冰, 黄明宇, 陈国钧,等. 丰田汽车燃料电池专利综述[J]. 电源技术, 2018,42(8): 1237-1239.
WANG B, HUANG M Y, CHEN G J, et al.Patents review on Toyota fuel cell[J]. Chinese journal of power sources, 2018, 42(8): 1237-1239.