Fred Y. Ye

1.1k total citations
58 papers, 723 citations indexed

About

Fred Y. Ye is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Fred Y. Ye has authored 58 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics, Probability and Uncertainty, 21 papers in Statistical and Nonlinear Physics and 11 papers in Economics and Econometrics. Recurrent topics in Fred Y. Ye's work include scientometrics and bibliometrics research (29 papers), Complex Network Analysis Techniques (20 papers) and Web visibility and informetrics (8 papers). Fred Y. Ye is often cited by papers focused on scientometrics and bibliometrics research (29 papers), Complex Network Analysis Techniques (20 papers) and Web visibility and informetrics (8 papers). Fred Y. Ye collaborates with scholars based in China, Belgium and United States. Fred Y. Ye's co-authors include Ronald Rousseau, Jiang Li, Star X. Zhao, Lutz Bornmann, Loet Leydesdorff, Adam Yongxin Ye, H. Eugene Stanley, Jean J. Wang, Wanru Wang and Ronald W. Rousseau and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Fred Y. Ye

56 papers receiving 699 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fred Y. Ye China	15	359	227	105	104	98	58	723
Orion Penner United States	10	210 0.6×	90 0.4×	52 0.5×	166 1.6×	91 0.9×	23	534
Xiaojun Hu China	10	197 0.5×	65 0.3×	54 0.5×	61 0.6×	49 0.5×	43	478
Bihui Jin China	11	498 1.4×	119 0.5×	22 0.2×	70 0.7×	67 0.7×	31	741
Yoshiko Okubo France	12	315 0.9×	107 0.5×	80 0.8×	111 1.1×	147 1.5×	19	586
Jin Mao China	16	127 0.4×	91 0.4×	35 0.3×	44 0.4×	32 0.3×	56	595
Frizo Janssens Belgium	13	237 0.7×	160 0.7×	39 0.4×	25 0.2×	44 0.4×	24	683
H. -J. Czerwon Germany	8	262 0.7×	51 0.2×	32 0.3×	51 0.5×	57 0.6×	11	507
Chao Min China	12	167 0.5×	67 0.3×	27 0.3×	36 0.3×	45 0.5×	21	395
Fuyuki Yoshikane Japan	10	174 0.5×	60 0.3×	30 0.3×	36 0.3×	27 0.3×	41	419

Countries citing papers authored by Fred Y. Ye

Since Specialization

Citations

This map shows the geographic impact of Fred Y. Ye's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fred Y. Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Y. Ye more than expected).

Fields of papers citing papers by Fred Y. Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Y. Ye. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fred Y. Ye. The network helps show where Fred Y. Ye may publish in the future.

Co-authorship network of co-authors of Fred Y. Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Y. Ye. A scholar is included among the top collaborators of Fred Y. Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fred Y. Ye. Fred Y. Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Deng, Sanhong, et al.. (2025). Measuring the university–industry–government relations synthesized by the Triple Helix and the diversity. Journal of Informetrics. 19(3). 101686–101686.

Wang, Wanru, et al.. (2024). A complement to the novel disruption indicator based on knowledge entities. Journal of Informetrics. 18(2). 101524–101524.

Ye, Fred Y., et al.. (2023). Characterizing patent big data upon IPC: a survey of triadic patent families and PCT applications. Journal Of Big Data. 10(1). 6 indexed citations

Ye, Fred Y., et al.. (2023). Identifying grey-rhino in eminent technologies via patent analysis. Journal of Data and Information Science. 8(1). 47–71. 1 indexed citations

Zhou, Wei‐Zhen, Wenke Li, Wanru Wang, et al.. (2022). CHDbase: A Comprehensive Knowledgebase for Congenital Heart Disease-Related Genes and Clinical Manifestations. Genomics Proteomics & Bioinformatics. 21(1). 216–227. 5 indexed citations

Wang, Jean J., et al.. (2021). Identifying 'seed' papers in sciences. Scientometrics. 126(7). 6001–6011. 3 indexed citations

Ye, Fred Y., et al.. (2020). Identifying ‘associated-sleeping-beauties’ in ‘swan-groups’ based on small qualified datasets of physics and economics. Scientometrics. 122(3). 1525–1537. 6 indexed citations

Wang, Wanru & Fred Y. Ye. (2019). Simplifying Weighted Heterogeneous Networks by Extracting h-Structure via s-Degree. Scientific Reports. 9(1). 18819–18819. 5 indexed citations

Bornmann, Lutz, Adam Yongxin Ye, & Fred Y. Ye. (2018). Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores. Scientometrics. 116(2). 655–674. 16 indexed citations

10.

Stanley, H. Eugene, et al.. (2018). Extracting h-Backbone as a Core Structure in Weighted Networks. Scientific Reports. 8(1). 14356–14356. 14 indexed citations

11.

Bornmann, Lutz, Adam Yongxin Ye, & Fred Y. Ye. (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. 4 indexed citations

12.

Stanley, H. Eugene, et al.. (2017). Statistical characteristics of breakthrough discoveries in science using the metaphor of black and white swans. Physica A Statistical Mechanics and its Applications. 487. 40–46. 8 indexed citations

13.

Ye, Fred Y., Mu‐Hsuan Huang, & Dar‐Zen Chen. (2016). Comparative Study of Trace Metrics between Bibliometrics and Patentometrics. Journal of Data and Information Science. 1(2). 13–31. 1 indexed citations

14.

Li, Jiang & Fred Y. Ye. (2016). Distinguishing sleeping beauties in science. Scientometrics. 108(2). 821–828. 30 indexed citations

15.

Li, Jiang & Fred Y. Ye. (2014). A probe into the citation patterns of high-quality and high-impact publications. Malaysian Journal of Library & Information Science. 19(2). 14 indexed citations

16.

Zhao, Star X., et al.. (2014). Abstracting the core subnet of weighted networks based on link strengths. Journal of the Association for Information Science and Technology. 65(5). 984–994. 23 indexed citations

17.

Zhao, Star X. & Fred Y. Ye. (2012). Exploring the directed h-degree in directed weighted networks. Journal of Informetrics. 6(4). 619–630. 23 indexed citations

18.

Rousseau, Ronald & Fred Y. Ye. (2011). A Simple Impact Measure and Its Evolution over Time. SHILAP Revista de lepidopterología. 4 indexed citations

19.

Ye, Fred Y., Star X. Zhao, & Ronald Rousseau. (2011). AN EMPIRICAL RELATION BETWEEN K-SHELLS AND THE H-INDEX IN SCALE-FREE NETWORKS. Malaysian Journal of Library & Information Science. 16(3). 9–16. 2 indexed citations

20.

Ye, Fred Y.. (2009). An investigation on mathematical models of the h-index. Scientometrics. 81(2). 493–498. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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