1 Garfield E. Citation indexes for science: a new dimension in documentation through association of ideas[J]. Science, 1955, 122(3159): 108-111. 2 Garfield E. Is citation analysis a legitimate evaluation tool?[J]. Scientometrics, 1979, 1(4): 359-375. 3 Chen C M, Hicks D. Tracing knowledge diffusion[J]. Scientometrics, 2004, 59(2): 199-211. 4 Liu Y X, Rafols I, Rousseau R. A framework for knowledge integration and diffusion[J]. Journal of Documentation, 2012, 68(1): 31-44. 5 Min C, Ding Y, Li J, et al. Innovation or imitation: the diffusion of citations[J]. Journal of the Association for Information Science and Technology, 2018, 69(10): 1271-1282. 6 Lewison G, Rippon I, Wooding S. Tracking knowledge diffusion through citations[J]. Research Evaluation, 2005, 14(1): 5-14. 7 Kessler M M. Bibliographic coupling between scientific papers[J]. American Documentation, 1963, 14(1): 10-25. 8 de Solla Price D J. Networks of scientific papers: the pattern of bibliographic references indicates the nature of the scientific research front[J]. Science, 1965, 149(3683): 510-515. 9 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. 10 Pieters R, Baumgartner H. Who talks to whom? Intra- and interdisciplinary communication of economics journals[J]. Journal of Economic Literature, 2002, 40(2): 483-509. 11 Zhou P, Su X N, Leydesdorff L. A comparative study on communication structures of Chinese journals in the social sciences[J]. Journal of the American Society for Information Science and Technology, 2010, 61(7): 1360-1376. 12 Rafols I. Knowledge integration and diffusion: measures and mapping of diversity and coherence[M]// Measuring Scholarly Impact: Methods and Practice. Cham: Springer, 2014: 169-190. 13 Yang J Q, Bu Y, Lu W, et al. Identifying keyword sleeping beauties: a perspective on the knowledge diffusion process[J]. Journal of Informetrics, 2022, 16(1): 101239. 14 de Solla Price D J. A general theory of bibliometric and other cumulative advantage processes[J]. Journal of the American Society for Information Science, 1976, 27(5): 292-306. 15 Barabási A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512. 16 Fortunato S, Bergstrom C T, B?rner K, et al. Science of science[J]. Science, 2018, 359(6379): eaao0185. 17 Chen C M, Chen Y, Horowitz M, et al. Towards an explanatory and computational theory of scientific discovery[J]. Journal of Informetrics, 2009, 3(3): 191-209. 18 Wu L F, Wang D S, Evans J A. Large teams develop and small teams disrupt science and technology[J]. Nature, 2019, 566(7744): 378-382. 19 Li J, Ye F Y. A probe into the citation patterns of high-quality and high-impact publications[J]. Malaysian Journal of Library & Information Science, 2014, 19(2): 31-47. 20 Zhang R Z, Wang J, Mei Y J. Search for evergreens in science: a functional data analysis[J]. Journal of Informetrics, 2017, 11(3): 629-644. 21 Avramescu A. Actuality and obsolescence of scientific literature[J]. Journal of the American Society for Information Science, 1979, 30(5): 296-303. 22 van Dalen H P, Henkens K. Signals in science - on the importance of signaling in gaining attention in science[J]. Scientometrics, 2005, 64(2): 209-233. 23 Ye F Y, Bornmann L. “Smart girls” versus “sleeping beauties” in the sciences: the identification of instant and delayed recognition by using the citation angle[J]. Journal of the Association for Information Science and Technology, 2018, 69(3): 359-367. 24 van Raan A F J. Sleeping beauties in science[J]. Scientometrics, 2004, 59(3): 467-472. 25 Zeng C J, Qi E P, Li S S, et al. Statistical characteristics of breakthrough discoveries in science using the metaphor of black and white swans[J]. Physica A: Statistical Mechanics and Its Applications, 2017, 487: 40-46. 26 Egghe L, Guns R, Rousseau R. Thoughts on uncitedness: Nobel laureates and fields medalists as case studies[J]. Journal of the American Society for Information Science and Technology, 2011, 62(8): 1637-1644. 27 李凌英, 闵超, 孙建军. 引文波峰的量化与分布探究[J]. 情报学报, 2019, 38(7): 697-708. 28 张靖雯, 孙建军, 闵超. 引文起飞的定义与量化方法研究[J]. 情报学报, 2019, 38(8): 786-797. 29 Li J, Shi D B, Zhao S X, et al. A study of the “heartbeat spectra” for “sleeping beauties”[J]. Journal of Informetrics, 2014, 8(3): 493-502. 30 Hou J H, Li H, Zhang Y. Identifying the princes base on altmetrics: an awakening mechanism of sleeping beauties from the perspective of social media[J]. PLoS One, 2020, 15(11): e0241772. 31 Cano V, Lind N C. Citation life cycles of ten citation classics[J]. Scientometrics, 1991, 22(2): 297-312. 32 闵超, YingDing, 李江, 等. 单篇论著的引文扩散[J]. 情报学报, 2018, 37(4): 341-350. 33 Rogers E M. The communication of innovations[M]. New York: The Free Press, 1983. 34 Amin M, Mabe M A. Impact factors: use and abuse[J]. Medicina (Buenos Aires), 2003, 63(4): 347-354. 35 Walters G D. The citation life cycle of articles published in 13 American Psychological Association Journals: a 25-year longitudinal analysis[J]. Journal of the American Society for Information Science and Technology, 2011, 62(8): 1629-1636. 36 Eom Y H, Fortunato S. Characterizing and modeling citation dynamics[J]. PLoS One, 2011, 6(9): e24926. 37 Wallace M L, Larivière V, Gingras Y. Modeling a century of citation distributions[J]. Journal of Informetrics, 2009, 3(4): 296-303. 38 Barnett G, Fink E L, Eckert M B. The diffusion of academic information: a mathematical model of citations in the sciences, social sciences and arts and humanities[C]// Proceedings of the Annals Meeting of the International Communication Association. New York: Routledge, 1986: ED275328. 39 Li J, Ye F Y. The phenomenon of all-elements-sleeping-beauties in scientific literature[J]. Scientometrics, 2012, 92(3): 795-799. 40 Hou J H, Yang X C. Social media-based sleeping beauties: defining, identifying and features[J]. Journal of Informetrics, 2020, 14(2): 101012. 41 Baumgartner S E, Leydesdorff L. Group-based trajectory modeling (GBTM) of citations in scholarly literature: dynamic qualities of “transient” and “sticky knowledge claims”[J]. Journal of the Association for Information Science and Technology, 2014, 65(4): 797-811. 42 Zamani M, Aghion E, Pollner P, et al. Anomalous diffusion in the citation time series of scientific publications[J]. Journal of Physics: Complexity, 2021, 2(3): 035024. 43 Chakraborty J, Pradhan D K, Nandi S. A multiple k-means cluster ensemble framework for clustering citation trajectories[J]. Journal of Informetrics, 2024, 18(2): 101507. 44 Crane D. Invisible colleges: diffusion of knowledge in scientific communities[M]. Chicago: The University of Chicago Press, 1972. 45 Small H, Griffith B C. The structure of scientific literatures I: identifying and graphing specialties[J]. Science Studies, 1974, 4(1): 17-40. 46 Merton R K, Storer N W. The sociology of science: theoretical and empirical investigations[M]. Chicago: The University of Chicago Press, 1973. 47 Keaveney S M. Customer switching behavior in service industries: an exploratory study[J]. Journal of Marketing, 1995, 59(2): 71-82. 48 York C, Turcotte J. Vacationing from Facebook: adoption, temporary discontinuance, and readoption of an innovation[J]. Communication Research Reports, 2015, 32(1): 54-62. 49 Cao Y Y, Long Q Q, Hu B L, et al. Exploring elderly users’ MSNS intermittent discontinuance: a dual-mechanism model[J]. Telematics and Informatics, 2021, 62: 101629. 50 Soliman W, Tuunainen V K. A tale of two frames: exploring the role of framing in the use discontinuance of volitionally adopted technology[J]. Information Systems Journal, 2022, 32(3): 473-519. 51 Ng Y M M. Twitter intermittent and permanent discontinuance: a multi-method approach to study innovation diffusion[J]. Computers in Human Behavior, 2023, 138: 107482. 52 Hou L, Guo X Y, Pan X. Intermittent social media usage: an empirical examination on the temporary discontinuance of blogging and its impact on subsequent user behavior[J]. Information Processing & Management, 2023, 60(5): 103461. 53 Arao L H, da Costa Santos M J V, da Silveira Guedes V L. The half-life and obsolescence of the literature science area: a contribution to the understanding the chronology of citations in academic activity[J]. Qualitative and Quantitative Methods in Libraries, 2015, 4(3): 603-610. 54 de Solla Price D J. Little science, big science[M]. New York: Columbia University Press, 1963. 55 Gou Z Y, Meng F, Chinchilla-Rodríguez Z, et al. Encoding the citation life-cycle: the operationalization of a literature-aging conceptual model[J]. Scientometrics, 2022, 127(8): 5027-5052. 56 Kuhn T S. The structure of scientific revolutions[M]. Chicago: The University of Chicago Press, 1962. 57 Costas R, van Leeuwen T N, van Raan A F J. Is scientific literature subject to a ‘Sell-By-Date’? A general methodology to analyze the ‘durability’ of scientific documents[J]. Journal of the American Society for Information Science and Technology, 2010, 61(2): 329-339. 58 Ravindran T, Yeow Kuan A C, Hoe Lian D G. Antecedents and effects of social network fatigue[J]. Journal of the Association for Information Science and Technology, 2014, 65(11): 2306-2320. 59 Chakraborty T, Nandi S. Universal trajectories of scientific success[J]. Knowledge and Information Systems, 2018, 54(2): 487-509. 60 Barber B. Resistance by scientists to scientific discovery[J]. American Journal of Clinical Hypnosis, 1963, 5(4): 326-335. 61 Campanario J M. Rejecting and resisting Nobel class discoveries: accounts by Nobel laureates[J]. Scientometrics, 2009, 81(2): 549-565. 62 Gorry P, El Aichouchi A. Delayed recognition in science: different causes of sleeping and awakening of scientific discoveries[C]// Proceedings of the 8th Biennial Atlanta Conference on Science & Innovation Policy, Atlanta, United States, 2019: hal-02196295. 63 Garfield E. Delayed recognition in scientific discovery: citation frequency analysis aids the search for case histories[J]. Current Contents, 1989, 23: 3-9. 64 梁永霞, 刘则渊, 杨中楷. 引文分析学的知识流动理论探析[J]. 科学学研究, 2010, 28(5): 668-674. 65 Shibayama S, Wang J. Measuring originality in science[J]. Scientometrics, 2020, 122(1): 409-427. 66 Schilling M A. A “small-world” network model of cognitive insight[J]. Creativity Research Journal, 2005, 17(2/3): 131-154. 67 Sheng L B, Lyu D Q, Ruan X M, et al. The association between prior knowledge and the disruption of an article[J]. Scientometrics, 2023, 128(8): 4731-4751. 68 Li J X, Chen J Y. Measuring destabilization and consolidation in scientific knowledge evolution[J]. Scientometrics, 2022, 127(10): 5819-5839. 69 张明新, 叶银娇. 传播新技术采纳的“间歇性中辍”现象研究: 来自东西方社会的经验证据[J]. 新闻与传播研究, 2014, 21(6): 78-98, 127-128. 70 Ye Y J, Zhang M X. Intermittent use of social media: Facebook and Weibo use, their predictors and social and political implications[M]// New Media and Chinese Society. Singapore: Spring, 2017: 75-93. 71 Leydesdorff L. Theories of citation?[J]. Scientometrics, 1998, 43(1): 5-25. 72 Cronin B. The need for a theory of citing[J]. Journal of Documentation, 1981, 37(1): 16-24. 73 Garfield E. Can citation indexing be automated?[C]// Proceedings Symposium of the Statistical Association Methods for Mechanized Documentation. Washington, DC: National Bureau of Standards, 1964: 189-192. 74 Bornmann L, Daniel H D. What do citation counts measure? A review of studies on citing behavior[J]. Journal of Documentation, 2008, 64(1): 45-80. 75 Gilbert G N. Referencing as persuasion[J]. Social Studies of Science, 1977, 7(1): 113-122. 76 Moed H F, Garfield E. In basic science the percentage of “authoritative” references decreases as bibliographies become shorter[J]. Scientometrics, 2004, 60(3): 295-303. 77 Boyack K W, van Eck N J, Colavizza G, et al. Characterizing in-text citations in scientific articles: a large-scale analysis[J]. Journal of Informetrics, 2018, 12(1): 59-73. 78 Hu Z G, Chen C M, Liu Z Y. Where are citations located in the body of scientific articles? A study of the distributions of citation locations[J]. Journal of Informetrics, 2013, 7(4): 887-896. 79 Huang S Z, Qian J J, Huang Y, et al. Disclosing the relationship between citation structure and future impact of a publication[J]. Journal of the Association for Information Science and Technology, 2022, 73(7): 1025-1042. 80 Tahamtan I, Bornmann L. What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018[J]. Scientometrics, 2019, 121(3): 1635-1684. 81 Liu Y M, Chen M. Applying text similarity algorithm to analyze the triangular citation behavior of scientists[J]. Applied Soft Computing, 2021, 107: 107362. 82 Kong L, Zhang W, Hu H T, et al. Transdisciplinary fine-grained citation content analysis: a multi-task learning perspective for citation aspect and sentiment classification[J]. Journal of Informetrics, 2024, 18(3): 101542. 83 Yousif A, Niu Z D, Tarus J K, et al. A survey on sentiment analysis of scientific citations[J]. Artificial Intelligence Review, 2019, 52(3): 1805-1838. 84 White M D, Wang P L. A qualitative study of citing behavior: contributions, criteria, and metalevel documentation concerns[J]. The Library Quarterly, 1997, 67(2): 122-154. 85 Priem J. Altmetrics[M]// Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact. Cambridge: The MIT Press, 2014: 263-288. 86 Xu S M. Issues in the interpretation of “altmetrics” digital traces: a review[J]. Frontiers in Research Metrics and Analytics, 2018, 3: 29. 87 Sugimoto C R, Work S, Larivière V, et al. Scholarly use of social media and altmetrics: a review of the literature[J]. Journal of the Association for Information Science and Technology, 2017, 68(9): 2037-2062. 88 侯剑华, 郑碧丽, 张洋. 科学知识扩散研究: 概念界定、理论基础与体系重构[J]. 现代情报, 2020, 40(9): 117-126. 89 Toupin R, Millerand F, Larivière V. Who tweets climate change papers? Investigating publics of research through users’ descriptions[J]. PLoS One, 2022, 17(6): e0268999. 90 Zhang L, Gou Z Y, Fang Z C, et al. Who tweets scientific publications?A large-scale study of tweeting audiences in all areas of research[J]. Journal of the Association for Information Science and Technology, 2023, 74(13): 1485-1497. 91 Haustein S, Bowman T D, Costas R. Interpreting ‘altmetrics’: viewing acts on social media through the lens of citation and social theories[M]// Theories of Informetrics and Scholarly Communication. Berlin: De Gruyter Saur, 2016: 372-406. 92 Mohammadi E, Thelwall M. Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows[J]. Journal of the Association for Information Science and Technology, 2014, 65(8): 1627-1638. 93 Yu H Q, Xiao T T, Xu S M, et al. Who posts scientific tweets? An investigation into the productivity, locations, and identities of scientific tweeters[J]. Journal of Informetrics, 2019, 13(3): 841-855. 94 Yu H Q, Wang Y, Zhang W, et al. Who shares scholarly output on Facebook? A systematic investigation into their location, productivity and identities[J]. Journal of Information Science, 2023. DOI: 10.1177/01655515231165632. 95 邱均平, 余厚强. 基于影响力产生模型的替代计量指标分层研究[J]. 情报杂志, 2015, 34(5): 53-58. 96 Hou J H, Li H, Zhang Y. Altmetrics-based sleeping beauties: necessity or just a supplement?[J]. Scientometrics, 2023, 128(10): 5477-5506. 97 Merton R K. The Matthew effect in science, Ⅱ: cumulative advantage and the symbolism of intellectual property[J]. Isis, 1988, 79(4): 606-623. 98 吕海华, 李江. 知识扩散中的“常识化后免于引用”现象: 一项评述[J]. 数据分析与知识发现, 2022, 6(8): 12-19. 99 Li J, Ye F Y. Distinguishing sleeping beauties in science[J]. Scientometrics, 2016, 108(2): 821-828. 100 Priem J, Piwowar H, Orr R. OpenAlex: a fully-open index of scholarly works, authors, venues, institutions, and concepts[C/OL]// Proceedings of the 26th International Conference on Science and Technology Indicators, Granada, Spain, (2022-06-17). https://arxiv.org/pdf/2205.01833. 101 Wang J. Citation time window choice for research impact evaluation[J]. Scientometrics, 2013, 94(3): 851-872. 102 Zhang L, Gl?nzel W. A citation-based cross-disciplinary study on literature aging: partⅠ—the synchronous approach[J]. Scientometrics, 2017, 111(3): 1573-1589. 103 Zhang L, Gl?nzel W. A citation-based cross-disciplinary study on literature ageing: part Ⅱ—diachronous aspects[J]. Scientometrics, 2017, 111(3): 1559-1572. 104 Finardi U. On the time evolution of received citations, in different scientific fields: an empirical study[J]. Journal of Informetrics, 2014, 8(1): 13-24. 105 Parolo P D B, Pan R K, Ghosh R, et al. Attention decay in science[J]. Journal of Informetrics, 2015, 9(4): 734-745. 106 吴月辉. 推动交叉研究为科技创新增量提质[N]. 人民日报, 2024-11-25(19). 107 孙吉胜. 以学科交叉融合推动研究创新[N]. 中国社会科学报, 2024-08-01(3). 108 郭思月, 魏玉梅, 滕广青, 等. 基于专利引用的技术竞争情报分析: 以5G关键技术为例[J]. 情报理论与实践, 2019, 42(12): 1-7. 109 Waltman L, van Eck N J, van Leeuwen T N, et al. Towards a new crown indicator: some theoretical considerations[J]. Journal of Informetrics, 2011, 5(1): 37-47.