[1] GARFIELD E. Citation indexes for science. a new dimension in documentation through association of ideas[J]. International journal of epidemiology, 2006, 35(5):1123-1127. [2] 陈柏彤,张斌.科学知识扩散研究框架[J].图书情报工作, 2014, 58(15):48-57. [3] VAN RAAN A F J. Sleeping beauties in science[J]. Scientometrics, 2004, 59(3):467-472. [4] LI J, YE F Y. The phenomenon of all-elements-sleeping-beauties in scientific literature[J]. Scientometrics, 2012, 92(3):795-799. [5] MOED H F. Bibliometric measurement of research performance and Price's theory of differences among the sciences[J]. Scientometrics, 1989, 15(5):473-483. [6] PAIVA C E, LIMA J P S N, PAIVA B S R. Articles with short titles describing the results are cited more often[J]. Clinics, 2012, 67(5):509-513. [7] BORNMANN L, DANIEL H D. Selecting scientific excellence through committee peer review-a citation analysis of publications previously published to approval or rejection of post-doctoral research fellowship applicants[J]. Scientometrics, 2006, 68(3):427-440. [8] BORNMANN L, LEYDESDORFF L, WANG J. How to improve the prediction based on citation impact percentiles for years shortly after the publication date?[J]. Journal of informetrics, 2014, 8(1):175-180. [9] 熊泽泉,段宇锋.论文早期下载量可否预测后期被引量?——以图书情报领域期刊为例[J].图书情报知识, 2018(4):32-42. [10] 闵超,DING Y,李江,等.单篇论著的引文扩散[J].情报学报,2018,37(4):341-350. [11] BUELA-CASAL G, ZYCH I. Analysis of the relationship between the number of citations and the quality evaluated by experts in psychology journals[J]. Psicothema, 2010, 22(2):270-276. [12] 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. [13] 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. [14] 屈文建,胡志伟,周小渝.面向图情学科热点高被引论文引文曲线特征分析[J].情报杂志, 2017, 36(8):138-143. [15] GOGOGLOU A, SIDIROPOULOS A, KATSAROS D, et al. The fractal dimension of a citation curve:quantifying an individual's scientific output using the geometry of the entire curve[J]. Scientometrics, 2017, 111(3):1751-1774. [16] CAO X, CHEN Y, LIU K J R. A data analytic approach to quantifying scientific impact[J]. Journal of informetrics, 2016, 10(2):471-484. [17] 李江,姜明利,李玥婷.引文曲线的分析框架研究——以诺贝尔奖得主的引文曲线为例[J].中国图书馆学报, 2014, 40(2):41-49. [18] ROLDAN-VALADEZ E, RIOS C. Alternative bibliometrics from impact factor improved the esteem of a journal in a 2-year-ahead annual-citation calculation:multivariate analysis of gastroenterology and hepatology journals[J]. European journal of gastroenterology & hepatology, 2015, 27(2):115-122. [19] 夏琬钧,陈晓红,江艳萍.科学论文引用预测研究进展[J].图书情报工作,2020,64(6):138-145. [20] SAVOV P, JATOWT A, NIELEK R. Identifying breakthrough scientific papers[J]. Information processing & management, 2020, 57(2):102168. [21] CHAKRABORTY T, KUMAR S, GOYAL P, et al. Towards a stratified learning approach to predict future citation counts[C]//IEEE/ACM Joint conference on digital libraries. New York:IEEE, 2014:351-360. [22] GARNER J, PORTER A L, NEWMAN N C. Distance and velocity measures:using citations to determine breadth and speed of research impact[J]. Scientometrics, 2014, 100(3):687-703. [23] WANG J. Citation time window choice for research impact evaluation[J]. Scientometrics, 2013, 94(3):851-872. [24] ZHAI Y, DING Y, ZHANG H. Innovation adoption:broadcasting versus virality[J]. Journal of the Association for Information Science and Technology, 2021, 72(4):403-416. [25] GOEL S, ANDERSON A, HOFMAN J, et al. The structural virality of online diffusion[J]. Management science, 2016, 62(1):180-196. [26] YANG J, ZHOU N, LI Y, et al. Opinion-based analysis of structural patterns in online viral diffusion[C]//2018 international conference on advances in computing and communication engineering. New York:IEEE, 2018:284-289. [27] ADAMS J. Early citation counts correlate with accumulated impact[J]. Scientometrics, 2005, 63(3):567-581. [28] POBIEDINA N, ICHISE R. Citation count prediction as a link prediction problem[J]. Applied intelligence, 2016, 44(2):252-268. [29] ABRISHAMI A, ALIAKBARY S. Predicting citation counts based on deep neural network learning techniques[J]. Journal of informetrics, 2019, 13(2):485-499. [30] DONG Y, JOHNSON R A, CHAWLA N V. Will this paper increase your h-index? scientific impact prediction[C]//Proceedings of the eighth ACM international conference on Web search and data mining. New York:ACM, 2015:149-158. [31] LI C T, LIN Y J, YAN R, et al. Trend-based citation count prediction for research articles[C]//Pacific-Asia conference on knowledge discovery and data mining. New York:Springer, 2015:659-671. [32] ZHOU F, JING X, XU X, et al. Continual information cascade learning[C]//Globecom 2020-2020 IEEE global communications conference. New York:IEEE, 2020:1-6. [33] XU Z, QIAN M, HUANG X, et al. CasGCN:predicting future cascade growth based on information diffusion graph[EB/OL].[2021-12-10]. https://arxiv.org/abs/2009.05152. [34] AVRAMESCU A. Actuality and obsolescence of scientific literature[J]. Journal of the American Society for Information Science, 1979, 30(5):296-303. [35] MOHAPATRA D, PAL S, DE S, et al. Modeling citation trajectories of scientific papers[J]. Advances in knowledge discovery and data mining, 2020, 12085:620-632. [36] CHAKRABORTY T, NANDI S. Universal trajectories of scientific success[J]. Knowledge and information systems, 2018, 54(2):487-509. [37] LIU Y, ROUSSEAU R. Citation analysis and the development of science:a case study using articles by some Nobel prize winners[J]. Journal of the Association for Information Science and Technology, 2014, 65(2):281-289. [38] WIENER H. Structural determination of paraffin boiling points[J].Journal of the American Chemical Society, 1947, 69(1):17-20. [39] 耿骞,景然,靳健,等.科学论文引用预测及影响因素分析[J].图书情报工作,2018,62(14):29-40. [40] GOEL S, ANDERSON A, HOFMAN J, et al. The structural virality of online diffusion[J]. Management science, 2015, 62(1):180-196. [41] ZHAO Y, DA J, YAN J. Detecting health misinformation in online health communities:incorporating behavioral features into machine learning based approaches[J]. Information processing & management, 2021, 58(1):102390. [42] 杜建,武夷山.基于被引速率指标识别睡美人文献及其"王子"——以2014年诺贝尔化学奖得主Stefan Hell的睡美人文献为例[J].情报学报, 2015, 34(5):508-521. [43] BARABÁSI A L, ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439):509-512. [44] DE SOLLA PRICE D. A general theory of bibliometric and other cumulative advantage processes[J]. Journal of the American Society for Information Science, 1976, 27(5):292-306. [45] BARABASI A L. The origin of bursts and heavy tails in human dynamics[J]. Nature, 2005, 435(7039):207-211. [46] HU X, ROUSSEAU R. Scientific influence is not always visible:the phenomenon of under-cited influential publications[J]. Journal of informetrics, 2016, 10(4):1079-1091. [47] PETERS H P F, VAN RAAN A F J. On determinants of citation scores:a case study in chemical engineering[J]. Journal of the American Society for Information Science, 1994, 45(1):39-49. [48] HASLAM N, BAN L, KAUFMANN L, et al. What makes an article influential? predicting impact in social and personality psychology[J]. Scientometrics, 2008,76(1):169-185. [49] YANG J, LESKOVEC J. Patterns of temporal variation in online media[C]//Proceedings of the fourth ACM international conference on web search and data mining. New York:ACM, 2011:177-186. [50] LESKOVEC J, BACKSTROM L, KLEINBERG J. Meme-tracking and the dynamics of the news cycle[C]//Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. New York:ACM, 2009:497-506. |