UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| This paper introduces the concept of triangular citation that combines direct citation, co-citation and bibliographic coupling, and defines three kinds of literature used in triangular citation, namely, original Literature A, intermediary Literature B and following Literature C. Taking citation data from the CNKI database as the experimental sample, it was found that there are triangular citations in the actual citation network, with a high coverage rate. Additionally, the authors analyzed the triangular citation sample data from the different perspectives of reference time, literature type, impact factor, interdisciplinary citation, and the author's self-citation, thereby finding the external characteristics of literature and internal trends of citation in the triangular citation. Additionally, it was concluded that the literature between A and C has an "indirect citation"mechanism. The citation characteristics of the two, i.e., A and C, are different from the direct citation relationship characteristics of A and B and B and C. The triangular citation proposed in this paper provides a new research perspective for bibliometrics, and it can be used to explore hidden literature relationships, citation mechanisms and citation motivations. |
| References |
Biglu, M. H. (2008). The influence of references per paper in the SCI to impact factors and the matthew effect. Scientometrics, 74(3), 453-470. doi:10.1007/s11192-007-1815-8 Bookstein, A., & Yitzhaki, M. (1999). Own-language preference: A new measure of "relative language self-citation". Scientometrics, 46(2), 337-348. doi:10.1007/BF02464782 Bornmann, L., & Marx, W. (2014). The wisdom of citing scientists. Journal of the Association for Information Science and Technology, 65(6), 1288-1292. doi:10.1002/asi.23100 Boyack, K. W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389-2404. doi:10.1002/asi.21419 Braam, R. R., Moed, H. F., & van Raan, A. F. J. (1991). Mapping of science by combined co‐citation and word analysis. I. structural aspects. Journal of the American Society for Information Science, 42(4), 233-251. doi:10.1002/(SICI)1097-4571(199105)42:4<233::AID-ASI1>3.0.CO;2-I Chen, C., & Hicks, D. (2004). Tracing knowledge diffusion. Scientometrics, 59(2), 199-211. doi:10.1023/B:SCIE.0000018528.59913.48 Chen, L. -., & Lien, Y. -. (2011). Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective. Scientometrics, 89(3), 867-886. doi:10.1007/s11192-011-0458-y Duan, Q. F., & Pan, X. H. (2018). Empirical research on impact of documents similarity upon scientific citation preference. Library and Information Service in China, 62(4), 97-106. Retrieved from www.scopus.com Egghe, L., & Rousseau, R. (2002). Co-citation, bibliographic coupling and a characterization of lattice citation networks. Scientometrics, 55(3), 349-361. doi:10.1023/A:1020458612014 Feng, Z. G., Li, C. L., Liu, X. H., & Fu, X. S. (2018). Interdisciplinary analysis of library and information science based on citing and cited reference information. Information Science, 36(3), 105-111. Retrieved from www.scopus.com Gao, J. (2017). Review and study of digital humanities intellectual structure. Library Tribune in China, 37(1), 1-9. Retrieved from www.scopus.com Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471-479. doi:10.1126/science.178.4060.471 Garfield, E. (2004). Historiographic mapping of knowledge domains literature. Journal of Information Science, 30(2), 119-145. doi:10.1177/0165551504042802 Garfield, E. (1994). The impact factor. Current Contents, 25(25), 3-7. Retrieved from www.scopus.com Glanzel, W., & Czerwon, H. J. (1996). A new methodological approach to bibliographic coupling and its application to the national, regional and institutional level. Scientometrics, 37(2), 195-221. doi:10.1007/BF02093621 Gong, K. L., Xie, J., Cheng, Y., & Meng, F. S. (2019). Internationalization of references in journal papers: An empirical study on library and information science. Information Science, 37(3), 127-135. Retrieved from www.scopus.com Hanney, S., Frame, I., Grant, J., Green, P., & Buxton, M. (2003). From Bench to Bedside: Tracing the Payback Forwards from Basic Or Early Clinical Research - A Preliminary Exercise and Proposals for A Future Study, HERG Research Report no.31, Retrieved from www.scopus.com Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. doi:10.1073/pnas.0507655102 Hirsch, J. E. (2010). An index to quantify an individual's scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85(3), 741-754. doi:10.1007/s11192-010-0193-9 Huang, M. -., & Chang, C. -. (2014). Detecting research fronts in OLED field using bibliographic coupling with sliding window. Scientometrics, 98(3), 1721-1744. doi:10.1007/s11192-013-1126-1 Jarneving, B. (2005). A comparison of two bibliometric methods for mapping of the research front. Scientometrics, 65(2), 245-263. doi:10.1007/s11192-005-0270-7 Jarneving, B. (2005). A comparison of two bibliometric methods for mapping of the research front. Scientometrics, 65(2), 245-263. doi:10.1007/s11192-005-0270-7 Jin, B. H., Wang, S. Y., Ren, S. L., & Liu, Y. J. (2000). On the relationship between journal impact factors and academic quality of papers. Chinese Journal of Scientific and Technical Periodicals, 11(4), 202-205. Retrieved from www.scopus.com Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10-25. Retrieved from www.scopus.com Klavans, R., & Boyack, K. W. (2006). Identifying a better measure of relatedness for mapping science. Journal of the American Society for Information Science and Technology, 57(2), 251-263. doi:10.1002/asi.20274 Li, J. (2014). The concept and measurement of interdisciplinarity. Documentation, Information & Knowledge, 3thed, (3), 87-93. Retrieved from www.scopus.com Li, L., Liu, D. -., & Zhang, C. -. (2016). Research on evaluation of the academic impact of scientific papers based on the theory of knowledge flow. Information Science, 34(7), 113-119. Retrieved from www.scopus.com Liang, Y. D., Wang, X. Y., Luo, H. L., Ma, B. R., Li, Y., & Kui, Y. (2017). Metrology and visualization analysis of acupuncture and moxibustion related literature of web of science in the past 5 years by CiteSpace application. China J Trad Chin Med Pharm, 32, 2163-2168. Retrieved from www.scopus.com Liang, Y. X. (2012). Knowledge Graph of Citation Analysis, , 118. Retrieved from www.scopus.com Liu, J., & Adie, E. (2013). Five challenges in altmetrics: A toolmaker's perspective. Bulletin of the American Society for Information Science and Technology, 39(4), 31-34. Retrieved from www.scopus.com Liu, Y. M., Li, C. L., Feng, Z. G., & Liu, X. H. (2017). Discussion of improved p-index evaluating the academic quality of single paper. Library and Information Service in China, 61(21), 106-113. Retrieved from www.scopus.com Lu, W. H., & Li, Z. (2020). A comparative analysis of citation features of zero-cited and high-cited librarian thesis. Library Journal in China, 39(1), 76-84. Retrieved from www.scopus.com Ma, N., & Guan, J. C. (2006). Using citation analysis methods to identify the progress and prospects of research frontiers. Forum on Science and Technology in China, (4) Retrieved from www.scopus.com Min, C., Ding, Y., Li, J., Bu, Y., Pei, L., & Sun, J. (2018). Innovation or imitation: The diffusion of citations. Journal of the Association for Information Science and Technology, 69(10), 1271-1282. doi:10.1002/asi.24047 Newman, M. (2014). Introduction to Network Science, , 70-72. Retrieved from www.scopus.com Persson, O. (1994). The intellectual base and research fronts of JASIS 1986–1990. Journal of the American Society for Information Science, 45(1), 31-38. doi:10.1002/(SICI)1097-4571(199401)45:1<31::AID-ASI4>3.0.CO;2-G Prathap, G. (2010). Is there a place for a mock h-index? Scientometrics, 84(1), 153-165. doi:10.1007/s11192-009-0066-2 Qiu, J. P., & Yu, H. Q. (2013). Analysis of the situation of interdisciplinary research on library and information science in china from the perspective of interdisciplinary publication. Information Studies: Theory & Application in China, 36(5), 5-10. Retrieved from www.scopus.com Ren, S., & Rousseau, R. (2002). International visibility of chinese scientific journals. Scientometrics, 53(3), 389-405. doi:10.1023/A:1014877130166 Schiebel, E. (2012). Visualization of research fronts and knowledge bases by three-dimensional areal densities of bibliographically coupled publications and co-citations. Scientometrics, 91(2), 557-566. doi:10.1007/s11192-012-0626-8 Schneider, J. W., & Costas, R. (2017). Identifying potential “breakthrough” publications using refined citation analyses: Three related explorative approaches. Journal of the Association for Information Science and Technology, 68(3), 709-723. doi:10.1002/asi.23695 Shen, H. -., & Barabási, A. -. (2014). Collective credit allocation in science. Proceedings of the National Academy of Sciences of the United States of America, 111(34), 12325-12330. doi:10.1073/pnas.1401992111 Shibata, N., Kajikawa, Y., & Sakata, I. (2011). Detecting potential technological fronts by comparing scientific papers and patents. Foresight, 13(5), 51-60. doi:10.1108/14636681111170211 Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2009). Comparative study on methods of detecting research fronts using different types of citation. Journal of the American Society for Information Science and Technology, 60(3), 571-580. doi:10.1002/asi.20994 Sidiropoulos, A., Gogoglou, A., Katsaros, D., & Manolopoulos, Y. (2016). Gazing at the skyline for star scientists. Journal of Informetrics, 10(3), 789-813. doi:10.1016/j.joi.2016.04.009 Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269. doi:10.1002/asi.4630240406 Small, H. (2006). Tracking and predicting growth areas in science. Scientometrics, 68(3), 595-610. doi:10.1007/s11192-006-0132-y Small, H., & Griffith, B. C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Social Studies of Science, 4(1), 17-40. doi:10.1177/030631277400400102 Su, C., Pan, Y., Zhen, Y., Ma, Z., Yuan, J., Guo, H., . . . Wu, Y. (2011). PrestigeRank: A new evaluation method for papers and journals. Journal of Informetrics, 5(1), 1-13. doi:10.1016/j.joi.2010.03.011 Su, C., Pan, Y. T., Ma, Z., Yuan, J. P., Yu, Z. L., & Guo, H. (2012). PrestigeRank and peer review for evaluation of scientific papers. Journal of the China Society for Scientific and Technical Information, 31(2), 180-188. Retrieved from www.scopus.com Tahamtan, I., Safipour Afshar, A., & Ahamdzadeh, K. (2016). Factors affecting number of citations: A comprehensive review of the literature. Scientometrics, 107(3), 1195-1225. doi:10.1007/s11192-016-1889-2 Takeda, Y., & Kajikawa, Y. (2009). Optics: A bibliometric approach to detect emerging research domains and intellectual bases. Scientometrics, 78(3), 543-558. doi:10.1007/s11192-007-2012-5 Tang, L., Philip, S., & Jan, Y. (2016). Is there a clubbing effect underlying chinese research citation increases? Journal of Finance and Economics in China, 42(10), 94-107. Retrieved from www.scopus.com Tao, Y., Zhou, L., & Song, Y. H. (2017). The overview of co-citation and coupling in knowledge domain visualization. Library and Information Service in China, 61(11), 140-148. Retrieved from www.scopus.com Thelwall, M., Haustein, S., Larivière, V., & Sugimoto, C. R. (2013). Do altmetrics work? twitter and ten other social web services. PLoS ONE, 8(5) doi:10.1371/journal.pone.0064841 Tol, R. S. J. (2009). The matthew effect defined and tested for the 100 most prolific economists. Journal of the American Society for Information Science and Technology, 60(2), 420-426. doi:10.1002/asi.20968 Wang, C. H., & Chen, M. L. (2007). Analysis on the ten factors of the frequency of influencing academic thesis cited by others. Technology and Innovation Management in China, (4), 44-46. Retrieved from www.scopus.com Wang, F., Jia, C., Wang, X., Liu, J., Xu, S., Liu, Y., & Yang, C. (2019). Exploring all-author tripartite citation networks: A case study of gene editing. Journal of Informetrics, 13(3), 856-873. doi:10.1016/j.joi.2019.08.002 Wang, F. F., Wang, X. H., & Liu, Y. (2018). Evaluation of scholarly impact from an integrated perspective of three-dimensional citations: A case study of gene editing. Journal of the China Society for Scientific and Technical Information, 37(6), 610-620. Retrieved from www.scopus.com Weinberg, B. H. (1974). Bibliographic coupling: A review. Information Storage and Retrieval, 10(5-6), 189-196. doi:10.1016/0020-0271(74)90058-8 Wu, J. H. (2011). Evaluation of journal impact and U-JI. Acta Editologica in China, 23(6), 552-554. Retrieved from www.scopus.com Xu, H. Y., & Fang, X. (2013). Study of evaluation index based on distribution and networks of citation for academic journals. Information Science in China, 31(2), 130-134. Retrieved from www.scopus.com Ye, F. Y., & Leydesdorff, L. (2014). The "academic trace" of the performance matrix: A mathematical synthesis of the h-index and the integrated impact indicator (I3). Journal of the Association for Information Science and Technology, 65(4), 742-750. doi:10.1002/asi.23075 Yoon, J., Chung, E., & Byun, J. (2015). An identification of the image retrieval domain from the perspective of library and information science with author co-citation and author bibliographic coupling analyses. Journal of the Korean Library and Information Science Society, 49(4), 99-124. Retrieved from www.scopus.com Zhang, Y. H., & Pan, Y. T. (2007). Research infl uence of scientific papers related factors. Acta Editologica, 19(2), 81-84. Retrieved from www.scopus.com Zhao, D., & Strotmann, A. (2008). Evolution of research activities and intellectual influences in information science 1996-2005: Introducing author bibliographic-coupling analysis. Journal of the American Society for Information Science and Technology, 59(13), 2070-2086. doi:10.1002/asi.20910 Zhao, Y., & Wu, Y. S. (2017). Tracing origins: A study on the characteristics of important literature cited by a famous scientometrician. Journal of the China Society for Scientific and Technical Information, 36(11), 1099-1107. Retrieved from www.scopus.com |
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