Yongren Shi

1.3k total citations · 1 hit paper
45 papers, 904 citations indexed

About

Yongren Shi is a scholar working on Condensed Matter Physics, Sociology and Political Science and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yongren Shi has authored 45 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Condensed Matter Physics, 14 papers in Sociology and Political Science and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yongren Shi's work include Physics of Superconductivity and Magnetism (19 papers), Magnetic and transport properties of perovskites and related materials (8 papers) and Magnetic properties of thin films (7 papers). Yongren Shi is often cited by papers focused on Physics of Superconductivity and Magnetism (19 papers), Magnetic and transport properties of perovskites and related materials (8 papers) and Magnetic properties of thin films (7 papers). Yongren Shi collaborates with scholars based in United States, United Kingdom and China. Yongren Shi's co-authors include Michael W. Macy, D A Cardwell, Daniel DellaPosta, N. Hari Babu, K. Iida, A R Dennis, J H Durrell, Fedor A. Dokshin, Matthew E. Brashears and Zhanwei Xu and has published in prestigious journals such as Applied Physics Letters, Contemporary Sociology A Journal of Reviews and PLoS ONE.

In The Last Decade

Yongren Shi

42 papers receiving 867 citations

Hit Papers

Why Do Liberals Drink Lat... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongren Shi United States 15 450 254 195 132 126 45 904
Kenichi Ishii Japan 22 59 0.1× 413 1.6× 52 0.3× 278 2.1× 178 1.4× 100 1.7k
Michael O’Loughlin United States 31 114 0.3× 136 0.5× 240 1.2× 118 0.9× 19 0.2× 138 3.7k
Kenneth D. Mackenzie United States 20 87 0.2× 116 0.5× 73 0.4× 652 4.9× 45 0.4× 91 1.7k
Andrea Lucarelli Sweden 21 436 1.0× 739 2.9× 273 1.4× 48 0.4× 31 0.2× 49 1.5k
Laurence Anthony Japan 22 183 0.4× 53 0.2× 85 0.4× 396 3.0× 49 0.4× 76 1.8k
Norman Booth Australia 12 108 0.2× 192 0.8× 110 0.6× 77 0.6× 60 0.5× 27 822
D. Olguı́n Mexico 18 75 0.2× 108 0.4× 125 0.6× 326 2.5× 45 0.4× 55 1.2k
Ken’ichi Ikeda Japan 16 97 0.2× 470 1.9× 34 0.2× 37 0.3× 361 2.9× 64 930
M. Kosugi Japan 11 162 0.4× 143 0.6× 65 0.3× 45 0.3× 17 0.1× 38 632
Mark White United States 14 208 0.5× 231 0.9× 102 0.5× 102 0.8× 31 0.2× 49 898

Countries citing papers authored by Yongren Shi

Since Specialization
Citations

This map shows the geographic impact of Yongren Shi'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 Yongren Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongren Shi more than expected).

Fields of papers citing papers by Yongren Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongren Shi. 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 Yongren Shi. The network helps show where Yongren Shi may publish in the future.

Co-authorship network of co-authors of Yongren Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yongren Shi. A scholar is included among the top collaborators of Yongren Shi 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 Yongren Shi. Yongren Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Yongren, Kevin Kiley, & Freda B. Lynn. (2025). Beyond statistical variables: Examining the duality of persons and groups in structuring cultural space. Poetics. 108. 101967–101967. 1 indexed citations
2.
Shi, Yongren, et al.. (2025). Moral disagreement in everyday life: An inductive framework for capturing ‘moral order’. Social Science Research. 127. 103139–103139.
3.
Liu, Yang, Haijun Hu, Yongren Shi, et al.. (2025). Microstructure and mechanical properties of Al matrix composites produced by Al-CeO2 in-situ reaction. Materials Characterization. 228. 115373–115373. 2 indexed citations
4.
Lynn, Freda B., Yongren Shi, & Kevin Kiley. (2024). Intersectional Group Agreement on the Occupational Order. Social Psychology Quarterly. 88(1). 135–148. 2 indexed citations
5.
Sauder, Michael, Yongren Shi, & Freda B. Lynn. (2024). Multiple Meritocracies: A Text-Based Analysis of Personal Narratives Revealing Distinct Frames of Success. RSF The Russell Sage Foundation Journal of the Social Sciences. 10(5). 86–117. 4 indexed citations
6.
7.
Shi, Yongren, Kevin Kiley, & Stephanie M. DiPietro. (2024). To the Extreme: Exploring the Rise of a Deviant Culture in a Misogynist Digital Community. Socius Sociological Research for a Dynamic World. 10. 2 indexed citations
8.
Lynn, Freda B., et al.. (2024). Up-or-Out Systems? Quantifying Path Flexibility in the Lived Curriculum of College Majors. Research in Higher Education. 65(6). 1185–1207. 1 indexed citations
9.
Shi, Yongren, et al.. (2023). Distinguishing social mechanisms of membership adoption in emerging technology communities. Social Science Research. 114. 102917–102917. 3 indexed citations
10.
Shi, Yongren, et al.. (2023). The Social Overload Thesis Revisited: Exploring the Mechanisms of Size-Dependent Participation Behavior in Voluntary Communities. Socius Sociological Research for a Dynamic World. 9. 1 indexed citations
11.
Shi, Yongren. (2020). Bian, Y. (2019). Guanxi: How China Works. Work and Occupations. 48(1). 104–106. 1 indexed citations
12.
Shi, Yongren, et al.. (2019). Comparison of the superconducting properties of Y-Ba-Cu-O and Y-Ba-Cu-O-Ag bulk superconductors. IOP Conference Series Materials Science and Engineering. 502. 12181–12181. 5 indexed citations
13.
Shi, Yongren, et al.. (2018). Innovation or deviation? The relationship between boundary crossing and audience evaluation in the music field. PLoS ONE. 13(10). e0203065–e0203065. 6 indexed citations
14.
Shi, Yongren, et al.. (2017). Cultural Fault Lines and Political Polarization. 213–217. 20 indexed citations
15.
Shi, Yongren, et al.. (2015). Use of Sm-123+Sm-211 Mixed-Powder Buffers to Assist the Growth of SmBCO and ZrO2-doped SmBCO Single Grain, Bulk Superconductors. Apollo (University of Cambridge). 3 indexed citations
16.
DellaPosta, Daniel, Yongren Shi, & Michael W. Macy. (2015). Why Do Liberals Drink Lattes?. American Journal of Sociology. 120(5). 1473–1511. 254 indexed citations breakdown →
17.
Zhou, Li, Fengming Zhang, Yongren Shi, et al.. (2014). A neural network model for the prediction of malaria in Jingmen City, China. International Journal of Infectious Diseases. 21. 270–270. 1 indexed citations
18.
Shi, Yongren, et al.. (2014). Mechanical characterization of GdBCO/Ag and YBCO single grains fabricated by top-seeded melt growth at 77 and 300 K. Superconductor Science and Technology. 27(11). 115011–115011. 34 indexed citations
19.
Iida, K., N. Hari Babu, Yongren Shi, & D A Cardwell. (2005). Seeded infiltration and growth of large, single domain Y–Ba–Cu–O bulk superconductors with very high critical current densities. Superconductor Science and Technology. 18(11). 1421–1427. 103 indexed citations
20.
Lo, Wai, et al.. (1999). Development of non-weak link bulk YBCO grain boundaries for high magnetic field engineering applications. IEEE Transactions on Applied Superconductivity. 9(2). 2042–2045. 19 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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