DaKES Institute


Academic Foundation


The services of DaKES Institute were based on our studies. Here are selected publications in both English and Chinese.

Wang, J.J., Shao, S.X. & Ye, F. Y.* (2021). Identifying 'seed’ papers in sciences. Scientometrics, 126(7), 6001-6011. DOI: 10.1007/s11192-021-03980-5 Wei, S. X., Wang, H. Y., Cao, C.* & Ye, F. Y.* (2021). One big science project or 1000 smaller ones? Current Science, 121(4), 479-484. DOI: 10.18520/cs/v121/i4/479-484 Ye, F. Y. (2020). A quantum scalar-vector-spinor model as vortex-field theory for approaching physical unification without dark sectors. International Journal of Physics, 8(2): 48-63. DOI: 10.12691/ijp-8-2-3 Ye, F. Y. (2020). A mathematical principle of quantum mechanism. Journal of Physical Mathematics, 11(2): 1-5. DOI: 10.37421/jpm.2020.11.317 Ye, F.Y. (2020). An economic analysis of efficiency and equity combining epistemological true with axiological good through microeconomics to macroeconomics. International Journal of Economics and Financial Research, 6(7): 159-169. DOI: 10.32861/ijefr.67.159.169 Zhang, H. H. & Ye, F. Y.* (2020). Identifying ‘Associated-Sleeping-Beauties’ in ‘Swan groups’ based on Small Qualified Datasets of Physics and Economics. Scientometrics, 122(3): 1525-1537.DOI 10.1007/s11192-020-03359-y Ye, F. Y. (2019). A physical philosophy for approaching the true and then the beautiful: principled review on the progress of contemporary physics. Scientific Review, 5(9): 163-172. DOI: 10.32861/sr.59.163.172 Ye, F. Y. (2019). Triad philosophy: an initiative idea for merging Western and Eastern thoughts. Philosophy Study, 9(8): 445-451.DOI:10.17265/2159-5313/2019.08.002 Wang, R. W. & Ye, F. Y.* (2019). Simplifying Heterogeneous Weighted Network with Extracting Its h-Structure via s-Degree. Scientific Reports, 2019, 9: 18819. DOI: 10.1038/s41598-019-55399-x Zhang, H. H.; Zuccala, A. A. & Ye, F. Y.* (2019). Tracing the ‘Swan-groups’ of Physics and Economics in the Key Publications of Nobel Laureates, Scientometrics, 119: 425-436. DOI: 10.1007/s11192-019-03036-9 Zhang, R. J.; Stanley, H.E.* & Ye, F. Y.* (2018). Extracting h-Backbone as a core structure in weighted network. Scientific Reports, 8: 14356. DOI: 10.1038/s41598-018-32430-1 Ye, F. Y* & Bornmann, L. (2018). “Smart girls” versus “sleeping beauties” in the sciences: The identification of instant and delayed recognition by using the citation angle. Journal of the Association for Information Science and Technology, 69(3): 359-367. DOI: 10.1002/asi.23846 Li, S.S., Ye, A. Y., Qi, E. P, Stanley, H.E.* & Ye, F. Y. *(2018). Characterizing Core-periphery Structure of Complex Network by h-core and fingerprint curve. Physica A, 492: 1206-1215. DOI: 10.1016/j.physa.2017.11.048 Zeng, C.J., Qi, E. P, Li, S.S. Stanley, H.E.* & Ye, F. Y.* (2017). Statistical Characteristics of Breakthrough Discoveries in Science Using the Metaphor of Black and White Swans. Physica A, 487: 40-46. DOI: 10.1016/j.physa.2017.05.041 Ye, F. Y*, Bornmann, L. & Leydesdorff, L. (2017). h-based I3-type multivariate vectors: multidimensional indicators of publication and citation scores. COLLNET Journal of Scientometrics and Information Management, 11(1): 153-171. DOI: 10.1080/09737766.2017.1284954 Bornmann, L*, Ye, A.Y. & Ye, F.Y. (2017). Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method. Scientometrics, 113(3): 1665–1680. DOI: 10.1007/s11192-017-2521-9 Ye, F. Y. (2016). Measuring Knowledge: A Quantitative Approach to Knowledge Theory. International Journal of Data Science and Analysis, 2(2): 32-35. DOI: 10.11648/j.ijdsa.20160202.13 Li, S.S., Lin, X. Liu, X. & Ye, F. Y.* (2016). H-crystal as a core structure in multilayer weighted networks. American Journal of Information Science and Computing Engineering, 2(4): 29-44. Zhang, L.*, Glanzel, W. & Ye, F. Y*. (2016).The Dynamic evolution of core documents, an experimental study based on h-related literature (2005–2013). Scientometrics, 106(1): 369-381. DOI: 10.1007/s11192-015-1705-4 Li, J.* & Ye, F. Y.* (2016). Distinguishing sleeping beauties in science. Scientometrics, 108: 821-828. DOI: 10.1007/s11192-016-1977-3 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 Li, J.; Shi, D.B.; Zhao, S.X. & Ye, F.Y.* (2014). A study of the “heartbeat spectra” for “sleeping beauties”. Journal of Informetrics, 8(3): 493-502. DOI: 10.1016/j.joi.2014.04.002 Zhao, S.X.; Zhang, P.L.; Li, J.; Tan, A.M. & Ye, F.Y.* (2014). Abstracting Core Subnet of Weighted Networks Based on Link Strengths. Journal of the Association for Information Science and Technology, 65(5): 984-994. DOI: 10.1002/asi.23030 Ye, F.Y. & Rousseau, R.* (2013). Modelling continuous percentile rank scores and integrated impact indicators (I3). Canadian Journal of Information and Library Science, 37(3): 201-206. DOI: 10.1353/ils.2013.0016 Ye, F. Y.*, Yu, S.S. & Leydesdorff, L. (2013). The triple helix of university-industry-government relations at the country level and its dynamic evolution under the pressures of globalization. Journal of the American Society for Information Science and Technology, 64(11): 2317-2325. DOI: 10.1002/asi.22931 Zhao, S.X. & Ye, F.Y.* (2013). Power-law link strength distribution in paper co-citation networks. Journal of the American Society for Information Science and Technology, 64(7): 1480–1489. DOI: 10.1002/asi.22846 Chen, D-Z; Huang, M-H & Ye, F.Y.*. (2013). A probe into dynamic measures for h-core and h-tail. Journal of Informetrics, 7(1): 129-137. DOI: 10.1016/j.joi.2012.10.002 Zhao, S.X.; Tan, A.M & Ye, F.Y.*. (2012). Distributive h-indices for measuring multi-level impact. Journal of the American Society for Information Science and Technology, 63(10): 2074–2086. DOI: 10.1002/asi.22682 Li, J. & Ye, F.Y.* (2012). The phenomenon of all-elements-sleeping-beauties in scientific literature. Scientometrics, 92(3): 795–799. DOI: 10.1007/s11192-012-0643-7 Tan, A.M; Zhao, S.X. & Ye, F.Y.*. (2012). Funds promote scientific output. Current Science, 102 (4): 542-543 Zhao, S. X. & Ye, F.Y.*. (2012). Exploring the directed h-degree in directed weighted networks. Journal of Informetrics, 6(4): 619-634. DOI: 10.1016/j.joi.2012.06.007 Zhao, S. X.; Rousseau, R. & Ye, F.Y.* (2011). h-Degree as a basic measure in weighted networks. Journal of Informetrics, 5(4): 668-677. DOI: 10.1016/j.joi.2011.06.005 Ye, F. Y. (2011). A theoretical approach to the unification of informetric models by wave-heat equations. Journal of the American Society for Information Science and Technology, 62(6): 1208-1211. DOI: 10.1002/asi.21498 Ye, F.Y. (2011). A unification of three models for the h-index. Journal of the American Society for Information Science and Technology, 62(1): 205–207. DOI: 10.1002/asi.21456 Zhao, S. X. & Ye, F.Y.* (2011). h-Efficiency, measuring input-output performance of research funds. Current Science, 101: 21-22 Ye, F. Y. (2010). National scientific fingerprint. Current Science, 99(12): 1641-1642 Ye, F. Y. & Rousseau, R. (2010). Probing the h-core, an investigation of the tail-core ratio for rank distributions. Scientometrics, 84(2): 431-439. DOI: 10.1007/s11192-009-0099-6 Ye, F. Y. (2009). A Clifford-Finslerian physical unification and fractal dynamics. Chaos, Solitons and Fractals, 2009, 41(5): 2301-2305 Ye, F. Y. (2009). From chaos to unification: U theory vs. M theory. Chaos, Solitons and Fractals, 2009, 42(1): 89-93 Ye, F. Y. (2009). An investigation on mathematical models of the h-index. Scientometrics, 2009, 81(2): 493-498. DOI: 10.1007/s11192-008-2169-6 Ye, F. Y. & Rousseau, R. (2008). The power law model and total career h-index sequences. Journal of Informetrics, 2(4): 288-297. DOI: 10.1016/j.joi.2008.09.002 Rousseau, R. & Ye, F. Y. (2008). A proposal for a dynamic h-type index. Journal of the American Society for Information Science and Technology, 59(11): 1853–1855. DOI: 10.1002/asi.20890 Ye, F. Y. (2007). A Quantitative Relationship between Per Capita GDP and Scientometric Criteria. Scientometrics, 71(3): 407-413. DOI: 10.1007/s11192-007-1678-z 王静静, 叶鹰. 生成式AI及其GPT类技术应用对信息管理与传播的变革探析[J/OL]. 中国图书馆学报, 2023. 王静静, 叶鹰, 王婉茹. GPT类技术应用开启智能信息处理之颠覆性变革[J/OL]. 图书馆杂志, 2023: 2-7. 叶鹰等. 从ChatGPT爆发到GPT技术革命的启示[J/OL]. 情报理论与实践, 2023: 2-6. 刘启元,叶鹰.文献题录信息挖掘技术方法及其软件SATI的实现——以中外图书情报学为例. 信息资源管理学报,2012,1(1): 50-58. 叶鹰. 智能信息处理和智能信息分析前瞻. 图书与情报, 2017(6):70-73, 95. 叶鹰. 智能信息处理的基础理论探讨. 情报科学, 2008(9):1281-1285, 1291. 叶鹰. 智能信息分析的理论基础与技术模型. 情报学报, 2005, 24(2): 233-236. 刘千里; 叶鹰. 实验情报学的理论设计与现实基础. 情报学报, 2018, 37(12): 1249-1261 戚尔鹏, 叶鹰. 漂移幂函数的数值拟合与理论分析. 情报学报, 2016, 35(12): 1285-1295 叶鹰;马费成. 数据科学兴起及其与信息科学的关联. 情报学报, 2015, 34(6): 575-580 叶鹰. 质性知识构造与量化知识分析综论:兼论学术对标法理论基础.中国图书馆学报, 2022, 48(1): 38-51 叶鹰. 试论图书情报学的主干知识及有效方法:兼论双证法和模本法之效用.中国图书馆学报, 2021,47(3):58-66 叶鹰. 图书情报学的学术思想与技术方法及其开新. 中国图书馆学报,2019, 45(2):15-25 刘炜,叶鹰.数字人文的技术体系与理论结构探讨.中国图书馆学报,2017, 43(5):32-41 叶鹰. 书理学论纲 中国图书馆学报,2008, 34(1): 22-26