[1] 曹嘉君,王曰芬,陈盛之,等.多学科交叉综合的研究领域内学科间分布状态与演化研究[J].情报学报, 2020, 39(5):459-468.
[2] WAGNER C, ROESSNER J, BOBB K, et al. Approaches to understanding and measuring interdisciplinary scientific research (IDR):A review of the literature[J]. Journal of informetrics, 2011, 5(1):14-26.
[3] 张琳.国内外"交叉科学"研究现状及评述[J].科技管理研究, 2013, 33(12):251-254.
[4] 许海云,尹春晓,郭婷,等.学科交叉研究综述[J].图书情报工作, 2015, 59(5):119-127.
[5] 章成志,吴小兰.跨学科研究综述[J].情报学报, 2017, 36(5):523-535.
[6] ROUSSEAU R, ZHANG L, HU X. Knowledge integration:its meaning and measurement[C]//GLÄNZEL W, MOED H, SCHMOCH U, et al. Handbook of science and technology indicators. Basel:Springer-Nature, 2019:69-94.
[7] 顾秀丽,黄颖,孙蓓蓓,等.图书情报领域中的交叉科学研究:进展与展望[J].情报学报, 2020, 39(5):478-491.
[8] 张雪,张志强.学科交叉研究系统综述[J].图书情报工作, 2020, 64(14):112-125.
[9] 黄颖,顾秀丽,孙蓓蓓,等.我国交叉科学研究的演进与展望——基于学术著作视角[J].图书情报知识, 2022, 39(1):61-72.
[10] SCHARNHORST A, BÖRNER K, BESSELAAR P. Models of science dynamics:encounters between complexity theory and information sciences[M]. Springer, 2012.
[11] 佩奇.模型思维[M].贾拥民,译.杭州:浙江人民出版社, 2019.
[12] 马亚雪,毛进,李纲.面向科学社会计算的数据组织与建模方法[J].中国图书馆学报, 2021, 47(1):76-87.
[13] 龚才春.模型思维:简化世界的人工智能模型[M].北京:电子工业出版社, 2021.
[14] 王卫军,姚畅,乔子越,等.基于词嵌入的国家自然科学基金学科交叉知识发现方法——以"人工智能"与"信息管理"为例[J].情报学报, 2021, 40(8):831-845.
[15] TORRES-SALINAS D, ROMERO-FRÍAS E, ARROYO-MACHADO W. Mapping the backbone of the Humanities through the eyes of Wikipedia[J]. Journal of informetrics, 2019, 13(3):793-803.
[16] 吴小兰,章成志.基于社交媒体的高影响力跨学科用户发现研究[J].情报学报, 2017, 36(6):618-627.
[17] PIERCE S. Boundary crossing in research literatures as a means of interdisciplinary information transfer[J]. Journal of the American Society for Information Science, 1999, 50(3):271-279.
[18] RAFOLS I, MEYER M. Diversity and network coherence as indicators of interdisciplinarity:case studies in bionanoscience[J]. Scientometrics, 2010, 82(2):263-287.
[19] GLÄNZEL W, SCHUBERT A. A new classification scheme of science fields and subfields designed for scientometric evaluation purposes[J]. Scientometrics, 2003, 56(3):357-367.
[20] BÖRNER K, KLAVANS R, PATEK M, et al. Design and update of a classification system:the UCSD map of science[J]. PLoS one, 2012, 7(7):1-10.
[21] WALTMAN L, ECK N J. A new methodology for constructing a publication-level classification system of science[J]. Journal of the American society for information science and technology, 2012, 63(12):2378-2392.
[22] 程孟夏.基于单篇论文学科分类号的跨学科研究——以人文社会科学为例[D].南京:南京理工大学, 2021.
[23] STIRLING A. A general framework for analysing diversity in science, technology and society[J]. Journal of the royal society interface, 2007, 4(15):707-719.
[24] PORTER A, RAFOLS I. Is science becoming more interdisciplinary?measuring and mapping six research fields over time[J]. Scientometrics, 2009, 81(3):719-745.
[25] PORTER A, CHUBIN D. An indicator of cross-disciplinary research[J]. Scientometrics, 1985, 8(3/4):161-176.
[26] CHEN K, LIANG C. Disciplinary interflow of library and information science in Taiwan[J]. Journal of library and information studies, 2004, 2(2):31-55.
[27] BRILLOUIN L, HELLWARTH R. Science and information theory[J]. Physics today, 1956, 9(12):39-40.
[28] 马瑞敏,闫晓慧,申楠.学科交叉直接测度研究[J].情报学报, 2019, 38(7):688-696.
[29] PORTER A, COHEN A, ROESSNER J, et al. Measuring researcher interdisciplinarity[J]. Scientometrics, 2007, 72(1):117-118.
[30] 和晋飞,房俊民.一个跨学科性测度指标:作者专业度[J].情报理论与实践, 2015, 38(5):42-45.
[31] LEYDESDORFF L, RAFOLS I. Indicators of the interdisciplinarity of journals:diversity, centrality, and citations[J]. Journal of informetrics, 2011, 5(1):87-100.
[32] LEYDESDORFF L. Betweenness centrality as an indicator of the interdisciplinarity of scientific journals[J]. Journal of the American Society for Information Science and Technology, 2007, 58(9):1303-1319.
[33] 李长玲,纪雪梅,支岭,等.基于E-I指数的学科交叉程度分析——以情报学等5个学科为例[J].图书情报工作, 2011, 55(16):35-38.
[34] 吕海华,李江. 1987-2016年跨学科知识流动的规律:一个新的视角"学科势能"[J].图书情报知识, 2021, 38(4):125-135.
[35] 陈赛君,陈智高.领域交叉性分析指标与方法新探及其实证研究[J].情报学报, 2013, 32(11):1184-1195.
[36] ZHANG L, ROUSSEAU R, GLÄNZEL W. Diversity of references as an indicator of the interdisciplinarity of journals:taking similarity between subject fields into account[J]. Journal of the Association for Information Science and Technology, 2016, 67(5):1257-1265.
[37] 张琳,孙蓓蓓,黄颖.跨学科合作模式下的交叉科学测度研究——以ESI社会科学领域高被引学者为例[J].情报学报, 2018, 37(3):231-242.
[38] LEYDESDORFF L. Diversity and interdisciplinarity:how can one distinguish and recombine disparity, variety, and balance?[J]. Scientometrics, 2018, 116(3):2113-2121.
[39] 杨良斌,周秋菊,金碧辉.基于文献计量的跨学科测度及实证研究[J].图书情报工作, 2009, 53(10):87-90.
[40] LEYDESDORFF L, WAGNER C, Bornmann L. Interdisciplinarity as diversity in citation patterns among journals:Rao-Stirling diversity, relative variety, and the Gini coefficient[J]. Journal of informetrics, 2019, 13(1):255-269.
[41] WANG Q, SCHNEIDER J. Consistency and validity of interdisciplinarity measures[J]. Quantitative science studies, 2020, 1(1):239-263.
[42] 张琳,刘冬东,吕琦,等.论文学科交叉测度研究:从全部引文到章节引文[J].情报学报, 2020, 39(5):492-499.
[43] 章成志,徐庶睿,卢超.利用引文内容监测多学科交叉现象的方法与实证[J].图书情报工作, 2016, 60(19):108-115.
[44] 徐庶睿,卢超,章成志.术语引用视角下的学科交叉测度——以PLOS ONE上六个学科为例[J].情报学报, 2017, 36(8):809-820.
[45] 徐庶睿,章成志,卢超.利用引文内容进行主题级学科交叉类型分析[J].图书情报工作, 2017, 61(23):15-24.
[46] ZHANG L, JANSSENS F, LIANG L, et al. Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research[J]. Scientometrics, 2010, 82(3):687-706.
[47] SHU F, JULIEN C, ZHANG L, et al. Comparing journal and paper level classifications of science[J]. Journal of informetrics, 2019, 13(1):202-225.
[48] DE BRUIN R, MOED H. Delimitation of scientific subfields using cognitive words from corporate addresses in scientific publications[J]. Scientometrics, 1993, 26(1):65-80.
[49] GLÄNZEL W, SCHUBERT A, CZERWON H. An item-by-item subject classification of papers published in multidisciplinary and general journals using reference analysis[J]. Scientometrics, 1999, 44(3):427-439.
[50] GLÄNZEL W, SCHUBERT A, SCHOEPFLIN U, et al. An item-by-item subject classification of papers published in journals covered by the SSCI database using reference analysis[J]. Scientometrics, 1999, 46(3):431-441.
[51] GARFIELD E, MALIN M, SMALL H. A system for automatic classification of scientific literature[J]. Journal of the indian institute of science, 1974, 57(2):61-74.
[52] SMALL H, SWEENEY E, GREENLEE E. Clustering the Science Citation Index using co-citations. II. Mapping science[J]. Scientometrics, 1985, 8(5/6):321-340.
[53] SMALL H. Visualizing science by citation mapping[J]. Journal of the American Society for Information Science, 1999, 50(9):799-813.
[54] KLAVANS R, BOYACK K. Quantitative evaluation of large maps of science[J]. Scientometrics, 2006, 68(3):475-499.
[55] BOYACK K. Using detailed maps of science to identify potential collaborations[J]. Scientometrics, 2009, 79(1):27-44.
[56] BOYACK K, KLAVANS R. Including cited non-source items in a large-scale map of science:what difference does it make?[J]. Journal of informetrics, 2014, 8(3):569-580.
[57] RUIZ-CASTILLO J, WALTMAN L. Field-normalized citation impact indicators using algorithmically constructed classification systems of science[J]. Journal of informetrics, 2015, 9(1):102-117.
[58] LEYDESDORFF L, ROTOLO D, RAFOLS I. Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed[J]. Journal of the American Society for Information Science and Technology, 2012, 63(11):2239-2253.
[59] SKUPIN A, BIBERSTINE J, BÖRNER K. Visualizing the topical structure of the medical sciences:a self-organizing map approach[J]. PLoS one, 2013, 8(3):1-16.
[60] CHEN B, CHENG M, LI P, et al. Interdisciplinary research based on paper-level classifications of science-a preliminary case study of Chinese journals[C]//Proceedings of the 17th international conference on scientometrics and informetrics. Rome:ISSI, 2019.
[61] BOYACK K, KLAVANS R. Creation of a highly detailed, dynamic, global model and map of science[J]. Journal of the Association for Information Science and Technology, 2014, 65(4):670-685.
[62] KLAVANS R, BOYACK K. Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge?[J]. Journal of the Association for Information Science and Technology, 2017, 68(4):984-998.
[63] ZHANG G, DING Y, MILOJEVIC'S. Citation content analysis (CCA):A framework for syntactic and semantic analysis of citation content[J]. Journal of the American Society for Information Science and Technology, 2013, 64(7):1490-1503.
[64] SMALL H. Cited documents as concept symbols[J]. Social studies of science, 1978, 8(3):327-340.
[65] 胡志刚.全文引文分析:理论、方法与应用[M].北京:科学出版社, 2016.
[66] 祝清松,冷伏海.基于引文内容分析的高被引论文主题识别研究[J].中国图书馆学报, 2014, 40(1):39-49.
[67] LIU S, CHEN C. The differences between latent topics in abstracts and citation contexts of citing papers[J]. Journal of the American Society for Information Science and Technology, 2013, 64(3):627-639.
[68] 张琳,黄颖.交叉科学——测度、评价与应用[M].北京:科学出版社, 2019.
[69] RIJNSOEVER F, HESSELS L. Factors associated with disciplinary and interdisciplinary research collaboration[J]. Research policy, 2011, 40(3):463-472.
[70] HE B, DING Y, TANG J, et al. Mining diversity subgraph in multidisciplinary scientific collaboration networks:a meso perspective[J]. Journal of informetrics, 2013, 7(1):117-128.
[71] KARLOVEC M, MLADENIC'D. Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring[J]. Scientometrics, 2015, 102(1):433-454.
[72] ABRAMO G, D'ANGELO C, COSTA F. Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications[J]. Journal of the American Society for Information Science and Technology, 2012, 63(11):2206-2222.
[73] WANG W, WU Y, PAN Y. An investigation of collaborations between top Chinese universities:a new quantitative approach[J]. Scientometrics, 2014, 98(2):1535-1545.
[74] ZHANG L, SUN B, CHINCHILLA-RODRÍGUEZ Z, et al. Interdisciplinarity and collaboration:on the relationship between disciplinary diversity in departmental affiliations and reference lists[J]. Scientometrics, 2018, 117(1):271-291.
[75] ROUSSEAU R, LIU Y, YE Y. A preliminary investigation on diffusion through a layered system[J]. Journal of informetrics, 2012, 6(2):177-191.
[76] LIU Y, ROUSSEAU R, GUNS R. A layered framework to study collaboration as a form of knowledge sharing and diffusion[J]. Journal of informetrics, 2013, 7(3):651-664.
[77] ABRAMO G, D'ANGELO C, ZHANG L. A comparison of two approaches for measuring interdisciplinary research output:the disciplinary diversity of authors vs the disciplinary diversity of the reference list[J]. Journal of informetrics, 2018, 12(4):1182-1193.
[78] 张培,阮选敏,吕冬晴,等.人文社会科学学者的跨学科性对被引的影响研究[J].情报学报, 2019, 38(7):675-687.
[79] 邱均平,余厚强.跨学科发文视角下我国图书情报学跨学科研究态势分析[J].情报理论与实践, 2013, 36(5):5-10.
[80] 邓丹楠.期刊与单篇论文学科分类号视角下的全领域跨学科研究[D].南京:南京理工大学, 2021.
[81] 杨良斌.跨学科指标测度的数据集构建及数据预处理研究[J].图书情报工作, 2013, 57(11):90-95.
[82] 李长玲,刘非凡,郭凤娇.运用重叠社群可视化软件CFinder分析学科交叉研究主题——以情报学和计算机科学为例[J].图书情报工作, 2013, 57(7):75-80.
[83] 王连喜,曹树金.学科交叉视角下的网络舆情研究主题比较分析——以国内图书情报学和新闻传播学为例[J].情报学报, 2017, 36(2):159-169.
[84] PRICE D. Networks of scientific papers[J]. Science, 1965, 149(3683):510-515.
[85] LEYDESDORFF L. Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index[J]. Scientometrics, 2007, 71(3):391-405.
[86] LEYDESDORFF L, RAFOLS I. A global map of science based on the ISI subject categories[J]. Journal of the American Society for Information Science and Technology, 2009, 60(2):348-362.
[87] LEYDESDORFF L, HAMMARFELT B, SALAH A. The structure of the Arts&Humanities citation index:a mapping on the basis of aggregated citations among 1,157 journals[J]. Journal of the American Society for Information Science and Technology, 2011, 62(12):2414-2426.
[88] RICHARDSON M. Citography:the visualization of nineteen thousand journals through their recent citations[J]. Research trends, 2012, 26(1):3-7.
[89] RICHARDSON M. Mapping the multidisciplinarity of the Arts&Humanities[J]. Research trends, 2013, 32(3):15-19.
[90] 赵星,谭旻,余小萍,等.我国文科领域知识扩散之引文网络探析[J].中国图书馆学报, 2012, 38(5):59-67.
[91] CHEN B, WANG S, LIU Y, et al. Mapping the interdisciplinarity of the Arts, Humanities&Social Sciences by paper-level classifications of science[C]//Proceedings of the 18th international conference on scientometrics and informetrics. Leuven:ISSI, 2021.
[92] LEYDESDORFF L, RAFOLS I, CHEN C. Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations[J]. Journal of the American Society for Information Science and Technology, 2013, 64(12):2573-2586.
[93] CHEN C, LEYDESDORFF L. Patterns of connections and movements in dual-map overlays:a new method of publication portfolio analysis[J]. Journal of the Association for Information Science and Technology, 2014, 65(2):334-351.
[94] LARIVIōRE V, GINGRAS Y. On the relationship between interdisciplinarity and scientific impact[J]. Journal of the American Society for Information Science and Technology, 2010, 61(1):126-131.
[95] CHEN S, QIU J, ARSENAULT C, et al. Exploring the interdisciplinarity patterns of highly cited papers[J]. Journal of informetrics, 2021, 15(1):101124.
[96] 吕冬晴,阮选敏,李江,等.跨学科知识融合对D指数的影响[J].情报学报, 2022, 41(3):263-274.
[97] 李东,童寿传,李江.学科交叉与科学家学术影响力之间的关系研究[J].数据分析与知识发现,2018, 2(12):1-11.
[98] 张琳,孙蓓蓓,王贤文,等.交叉科学成果影响力研究:使用数据与引用数据视角[J].情报学报, 2020, 39(5):469-477.
[99] ABRAMO G, D'ANGELO C, COSTA F. Specialization versus diversification in research activities:the extent, intensity and relatedness of field diversification by individual scientists[J]. Scientometrics, 2017, 112(3):1403-1418.
[100] WOOTEN K, ROSE R, OSTIR G, et al. Assessing and evaluating multidisciplinary translational teams:a mixed methods approach[J]. Evaluation&the health professions, 2014, 37(1):33-49.
[101] BARK R, KRAGT M, ROBSON B. Evaluating an interdisciplinary research project:lessons learned for organisations, researchers and funders[J]. International journal of project management, 2016, 34(8):1449-1459.
[102] 张慧玲,许海云,岳增慧,等.学科交叉期刊的影响力评价方法研究[J].情报学报, 2019, 38(10):1030-1040.
[103] 张琳,彭玉杰,杜会英,等.技术会聚:内涵、现状与测度——兼论与学科交叉的关系[J].图书情报工作, 2021, 65(1):91-101.
[104] 张雪,张志强.美国科学基金会资助项目的学科交叉度演化规律及影响研究[J].情报理论与实践, 2021, 44(12):122-132.
[105] DING Y, SONG M, HAN J, et al. Entitymetrics:measuring the impact of entities[J]. Plos one, 2013, 8(8):e71416.
[106] HVIDTFELDT R. The structure of interdisciplinary science[M]. Cham:Palgrave Macmillan, 2018.
[107] REPCO A, SZOSTAK R. Interdisciplinary research:process and theory[M]. 4th ed. Los Angeles:SAGE publications, 2020.
[108] HERZOG C, HOOK D, KONKIEL S. Dimensions:bringing down barriers between scientometricians and data[J]. Quantitative science studies, 2020, 1(1):387-395.