CiteSpace全球应用特征与核心功能演化

李杰; 胡志刚; 侯剑华

doi:10.13266/j.issn.2095-5472.2023.025

PDF(6943 KB)

知识管理论坛 ›› 2023, Vol. 8 ›› Issue (4) : 291-302. DOI: 10.13266/j.issn.2095-5472.2023.025

研究论文

CiteSpace全球应用特征与核心功能演化

李杰 ¹^,⁴ ,
胡志刚 ² ,
侯剑华 ³

作者信息 +

Global Application and Core Function Evolution of CiteSpace

Jie Li ¹^,⁴ ,
Zhigang Hu ² ,
Jianhua Hou ³

Author information +

文章历史 +

摘要

[目的/意义] 旨在了解CiteSpace在全球的应用现状及基于知识基础的功能演化情况，以促进国内学者对CiteSpace深入认识和应用。[方法/过程] 通过科学知识图谱方法对Web of Science中收录的965篇CiteSpace论文，从增长趋势、地理分布、研究主题和引文演化四个方面进行了分析。[结果/结论] 过去16年，CiteSpace的应用呈显著增长趋势，应用遍布54个国家或地区，涉及337个不同的城市。我国是CiteSpace应用论文的主要产出国，占比84.9%。在CiteSpace的应用中，VOSviewer和Histcite是常常结合使用的软件，Web of Science是主要数据源。文献计量学中的共被引文献、引文分析、共词分析以及合著分析在CiteSpace应用中最为频繁。常被用来进行热点、研究趋势以及文献综述分析。引文历时网络分析完整呈现了CiteSpace I、CiteSpace II以及CiteSpace III的完整演化过程，并从期刊双图叠加层面，展示宏观层面CiteSpace应用论文和知识基础论文的互动关系。

Abstract

[Purpose/significance] This study aims to comprehend the current global status of CiteSpace application and its evolution in terms of intellectual functions. Additionally, it seeks to facilitate the understanding and functional evolution based on knowledge foundations. [Method/Process] Knowledge mapping methods were employed to analyze 965 papers related to CiteSpace from the Web of Science Core Collections. The analysis covered growth trends, geographical distribution, research topics, and citation evolution. [Result/Conclusion] The findings reveal a consistent upward trend in CiteSpace's application over the past 16 years. The application demonstrates a diverse distribution across 54 different countries/regions and 337 cities. Notably, China emerges as the most productive country, accounting for 84.9%. In CiteSpace applications, VOSviewer and Histcite are often used together, and Web of Science is the main data source. Widely adopted bibliometric methods include co-citation analysis, citation analysis, co-word analysis, and co-authorship. The application's purposes encompass hotspot analysis, tracking research trends, and conducting literature reviews. The diachronic citation network analysis elucidates the complete evolution of CiteSpace I, CiteSpace II, and CiteSpace III. Furthermore, dual overlay maps of journals effectively demonstrate the interaction between CiteSpace application papers and knowledge-based papers.

导出引用

李杰 , 胡志刚 , 侯剑华. CiteSpace全球应用特征与核心功能演化[J]. 知识管理论坛. 2023, 8(4): 291-302 https://doi.org/10.13266/j.issn.2095-5472.2023.025

Jie Li , Zhigang Hu , Jianhua Hou. Global Application and Core Function Evolution of CiteSpace[J]. Knowledge Management Forum. 2023, 8(4): 291-302 https://doi.org/10.13266/j.issn.2095-5472.2023.025

中图分类号： G202

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	李杰，陈超美. CiteSpace科技文本挖掘及可视化 [M]. 3版.北京: 首都经济贸易大学出版社, 2022.(LI J, CHEN C M. CiteSpace: text ming and visualization in scientific literature [M]. 3rd ed. Beijing: Capital University of Economic and Business Press, 2022.) 本文引用 [1]

[2]	侯剑华, 陈悦. 战略管理学前沿演进可视化研究 [J]. 科学学研究, 2007 (S1): 15-21.(HOU J H, CHEN Y. Research on visualization of the evolution of strategic management front [J]. Studies in science of science, 2007(S1): 15-21.) 本文引用 [1]

[3]	陈悦, 刘则渊. 悄然兴起的科学知识图谱 [J]. 科学学研究, 2005 (2): 149-154.(CHEN Y, LIU Z Y. The rise of mapping knowledge domain[J]. Studies in science of science, 2005 (2): 149-154.) 本文引用 [1]

[4]	侯剑华, 胡志刚. CiteSpace软件应用研究的回顾与展望 [J]. 现代情报, 2013, 33(4): 99-103.(HOU J H, HU Z G. Review on the application of CiteSpace at home and abroad [J].Journal of modern information, 2013, 33(4): 99-103.) 本文引用 [1]

[5]	陈悦, 陈超美, 刘则渊,等. CiteSpace知识图谱的方法论功能 [J]. 科学学研究, 2015, 33(2): 242-253.(CHEN Y, CHEN C M, LIU Z Y, et al. The methodology function of CiteSpace mapping knowledge domains [J]. Studies in science of science, 2015, 33(2): 242-253.) 本文引用 [1]

[6]	刘光阳. CiteSpace国内应用的传播轨迹——基于2006—2015年跨库数据的统计与可视化分析 [J]. 图书情报知识, 2017(2): 60-74.(LIU G Y. The spread track of CiteSpace application in China——based on the statistical and visual analysis of cross-database data from 2006 to 2015 [J]. Documentation, information & knowledge, 2017(2): 60-74.) 本文引用 [1]

[7]	李杰,李慧杰,陈伟炯,等. 国内社会科学研究中知识图谱应用现状分析[J].图书情报研究,2019(1):74-81.( LI J, LI H J, CHEN W J, et al. Review application of knowledge visualization research in Chinese social science[J]. Library & information studies, 2019(1):74-81.) 本文引用 [1]

[8]	ZOU X H, SUN Y. Bibliometrics analysis of the research status and trends of the association between depression and insulin from 2010 to 2020 [J/OL]. Front psychiatry, 2021, 12: 683474[2023-04-11]. https://www.frontiersin.org/articles/10.3389/fpsyt.2021.683474/full. 本文引用 [1]

[9]	ZHU X Q, HU J Q, DENG S H, et al. Bibliometric and visual analysis of research on the links between the gut microbiota and depression from 1999 to 2019 [J/OL]. Front psychiatry, 2021, 11: 587670 [2023-04-11]. https://www.frontiersin.org/articles/10.3389/fpsyt.2020.587670/full.

[10]	ZHOU Y, ZHU X P, SHI J J, et al. Coronary heart disease and depression or anxiety: a bibliometric analysis [J]. Front psychol, 2021, 12:669000[2023-04-11]. https://www.frontiersin.org/articles/10.3389/fpsyg.2021.669000/full. 本文引用 [1]

[11]	ZHENG Y S, HUANG Y W, BIAN Y Y, et al. Analysis of the differences in lung cancer research trends between China and the United States based using project funding data [J]. Annals of translational medicine, 2021;9(3):215. 本文引用 [1]

[12]	XU Z Y, GAO X, REN B H, et al. A bibliometric analysis of segmentectomy versus lobectomy for non-small cell lung cancer research (1992-2019) [J]. Medicine (Baltimore), 2021, 100(13): e25055.

[13]	WU C C, WANG Y Z, HU H Y, et al. Bibliometric analysis of research on the comorbidity of cancer and pain [J]. Joural of pain research, 2021, 14: 213-228. 本文引用 [1]

[14]	ZHOU X Y, LI T C, MA X Q. A bibliometric analysis of comparative research on the evolution of international and Chinese green supply chain research hotspots and frontiers [J]. Environmental science and pollution research, 2021, 28(6): 6302-6323. 本文引用 [1]

[15]	SU Z W, ZHANG M Y, WU W B. Visualizing sustainable supply chain management: a systematic scientometric review [J/OL]. Sustainability, 2021, 13(8): 4409[2023-04-11]. https://doi.org/10.3390/su13084409.

[16]	GUAN G F, JIANG Z J, GONG Y, et al. A bibliometric review of two decades' research on closed-loop supply chain: 2001-2020 [J/OL]. IEEE access, 2021, 9: 3679-3695[2023-04-11]. https://ieeexplore.ieee.org/document/9308918. 本文引用 [1]

[17]	ZHAO Y Q, HUANG L, LIU M J, et al. Scientific knowledge graph of acupuncture for migraine: a bibliometric analysis from 2000 to 2019 [J]. Joural of pain research, 2021, 14: 1985-2000. 本文引用 [1]

[18]	ZHAO T T, GUO J, SONG Y F, et al. A bibliometric analysis of research trends of acupuncture therapy in the treatment of migraine from 2000 to 2020 [J]. Joural of pain research, 2021, 14: 1399-1414.

[19]	ZHANG J H, ZHANG Y X, HU L Y, et al. Global trends and performances of magnetic resonance imaging studies on acupuncture: a bibliometric analysis [J]. Front neurosci, 2021, 14: 620555 [2023-04-11]. https://www.frontiersin.org/articles/10.3389/fnins.2020.620555/full. 本文引用 [1]

[20]

WANG Y N, AHMED A, AZAM A, et al. Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: the knowledge evolution of 3D printing [J/OL]. Journal of manufacturing systems, 2021, 60: 709-733[2023-04-11]. https://doi.org/10.1016/j.jmsy.2021.07.023.

本文引用 [1]

[21]	SANCHEZ-TENA M A, MARTINEZ-PEREZ C, VILLA-COLLAR C, et al. Impact of COVID-19 at the ocular level: a citation network study [J]. Journal of clinical medicine, 2021, 10(7): 1340.

[22]	LI D, WANG S W, SU X M. Bibliometric analysis on utilization of new information technology in the prevention and control of Covid-19-China, 2020 [J]. China CDC weekly, 2021, 3(8): 165-169. 本文引用 [1]

[23]	YANG X J, WANG X Y, LI X G, et al. Exploring emerging IoT technologies in smart health research: a knowledge graph analysis [J]. BMC medical informatics and decision making, 2020, 20(1): 260. 本文引用 [1]

[24]	HU X P, SUN L J, ZHOU Y X, et al. Review of operational management in intelligent agriculture based on the Internet of Things [J]. Frontiers of engineering management, 2020, 7(3): 309-322.

[25]

DAIM T, LAI K K, YALCIN H, et al. Forecasting technological positioning through technology knowledge redundancy: patent citation analysis of IoT, cybersecurity, and Blockchain [J/OL]. Technological forecasting & social change, 2020, 161: 120329[2023-04-11]. https://doi.org/10.1016/j.techfore.2020.120329.

本文引用 [1]

[26]	BILIAS F, NIKOLI T, KALDERIS D, et al. Towards a soil remediation strategy using biochar: effects on soil chemical properties and bioavailability of potentially toxic elements [J/OL]. Toxics, 2021, 9(8): 184[2023-04-11].https://doi.org/10.3390/toxics9080184. 本文引用 [1]

[27]	YAN T T, XUE J H, ZHOU Z D, et al. The trends in research on the effects of biochar on soil [J]. Sustainability, 2020, 12(18): 23.

[28]	WU P, WANG Z Y, WANG H L, et al. Visualizing the emerging trends of biochar research and applications in 2019: a scientometric analysis and review [J]. Biochar, 2020, 2(2): 135-150. 本文引用 [1]

[29]	FREEMAN L C. A set of measures of centrality based on betweenness [J]. Sociometry, 1977, 40(1): 35-41. 本文引用 [2]

[30]	KLEINBERG J. Bursty and hierarchical structure in streams [C]// Proceedings of the eighth ACM SIGKDD international conference on knowledge discovery and data mining. Edmonton: Association for Computing Machinery,2002: 91–101. 本文引用 [2]

[31]	KLEINBERG J. Bursty and hierarchical structure in streams [J]. Data mining and knowledge discovery, 2003, 7(4): 373-397. 本文引用 [2]

[32]	PRICE D J D S. Networks of scientific papers [J]. Science, 1965, 149(3683): 510-515. 本文引用 [1]

[33]	PRITCHARD A. Statistical bibliography or bibliometrics [J]. Journal of documentation, 1969, 25(4): 348-349. 本文引用 [1]

[34]	SMALL H. Co-citation in the scientific literature: a new measure of the relationship between two documents [J]. Journal of the American Society for Information Science, 1973, 24(4): 265-269. 本文引用 [1]

[35]	FREEMAN L C. Centrality in social networks conceptual clarification [J]. Social networks, 1978, 1(3): 215-239. 本文引用 [1]

[36]	WHITE H D, GRIFFITH B C. Author cocitation: a literature measure of intellectual structure [J]. Journal of the American Society for Information Science, 1981, 32(3): 163-171. 本文引用 [1]

[37]	ROUSSEEUW P J. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis [J/OL]. Journal of computational and applied mathematics, 1987, 20: 53-65[2023-04-11]. https://www.sciencedirect.com/science/article/pii/0377042787901257. 本文引用 [1]

[38]	PERSSON O. The intellectual base and research fronts of JASIS 1986–1990 [J]. Journal of the American Society for Information Science, 1994, 45(1): 31-38. 本文引用 [1]

[39]	WHITE H D, MCCAIN K W. Visualizing a discipline: An author co-citation analysis of information science, 1972–1995 [J]. Journal of the American Society for Information Science, 1998, 49(4): 327-355. 本文引用 [1]

[40]	HOOD W W, WILSON C S. The literature of bibliometrics, scientometrics, and informetrics [J]. Scientometrics, 2001, 52(2): 291–314. 本文引用 [1]

[41]	BöRNER K, CHEN C, BOYACK K W. Visualizing knowledge domains [J]. Annual review of information science and technology, 2003, 37(1): 179-255. 本文引用 [1]

[42]	CHEN C M. Searching for intellectual turning points: progressive knowledge domain visualization [J]. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101(Sl): 5303-5310. 本文引用 [2]

[43]

CHEN C. A glimpse of the first eight months of the covid-19 literature on microsoft academic graph: themes, citation contexts, and uncertainties [J/OL]. Frontiers in research metrics and analytics, 2020, 5:607286[2023-04-11].https://www.frontiersin.org/articles/10.3389/frma.2020.607286/full.

本文引用 [1]

[44]	CHEN C M. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature [J]. Journal of the American Society for Information Science and Technology, 2006, 57(3): 359-377. 本文引用 [1]

[45]	CHEN C M, SONG I Y, YUAN X J, et al. The thematic and citation landscape of data and knowledge engineering (1985-2007) [J]. Data & knowledge engineering, 2008, 67(2): 234-259. 本文引用 [1]

[46]	CHEN C, CHEN Y, HOROWITZ M, et al. Towards an explanatory and computational theory of scientific discovery [J]. Journal of informetrics, 2009, 3(3): 191-209. 本文引用 [1]

[47]	CHEN C, IBEKWE-SANJUAN F, HOU J. The structure and dynamics of cocitation clusters: a multiple-perspective cocitation analysis [J]. Journal of the American Society for Information Science and Technology, 2010, 61(7): 1386-1409. 本文引用 [1]

[48]	CHEN C M, HU Z G, LIU S B, et al. Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace [J]. Expert opinion on biological therapy, 2012, 12(5): 593-608. 本文引用 [1]

[49]	CHEN C. Predictive effects of structural variation on citation counts [J]. Journal of the American Society for Information Science and Technology, 2012, 63(3): 431-449. 本文引用 [1]

[50]	CHEN C, DUBIN R, KIM M C. Emerging trends and new developments in regenerative medicine: A scientometric update (2000-2014) [J]. Expert opinion on biological therapy, 2014, 14(9): 1295-1317. 本文引用 [1]

[51]	CHEN C, DUBIN R, KIM M C. Orphan drugs and rare diseases: a scientometric review (2000-2014) [J]. Expert opinion on biological therapy, 2014, 2(7): 709-724. 本文引用 [1]

[52]	CHEN C, LEYDESDORFF L. Patterns of connections and movements in dual-map overlays: a new method of publication portfolio analysis [J]. Journal of the American Society for Information Science and Technology, 2014, 65(2): 334-351. 本文引用 [1]

[53]	CHAOMEI C. The CiteSpace manual [EB/OL].[2022-10-11]. http://blog.sciencenet.cn/blog-496649-840691.html. 本文引用 [1]

[54]	CHEN C. CiteSpace: a practical guide for mapping scientific literature [M]. New York :Nova Science Publishers, Incorporated, 2016. 本文引用 [1]

[55]	CHEN C M. Science mapping: a systematic review of the literature [J]. Journal of data and information science, 2017, 2(2): 1-40. 本文引用 [1]

[56]	CHEN C, SONG M. Visualizing a field of research: a methodology of systematic scientometric reviews [J/OL]. Plos one, 2019, 14(10): e0223994[2023-04-11].https://doi.org/10.1371/journal.pone.0223994. 本文引用 [1]