Yingjie Liang

1.3k total citations
74 papers, 1000 citations indexed

About

Yingjie Liang is a scholar working on Modeling and Simulation, Civil and Structural Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Yingjie Liang has authored 74 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Modeling and Simulation, 16 papers in Civil and Structural Engineering and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Yingjie Liang's work include Fractional Differential Equations Solutions (34 papers), Theoretical and Computational Physics (11 papers) and NMR spectroscopy and applications (9 papers). Yingjie Liang is often cited by papers focused on Fractional Differential Equations Solutions (34 papers), Theoretical and Computational Physics (11 papers) and NMR spectroscopy and applications (9 papers). Yingjie Liang collaborates with scholars based in China, Germany and United States. Yingjie Liang's co-authors include Wen Chen, Richard L. Magin, Wen Chen, Wei Xu, Xu Yang, Shuhong Wang, Wei Wang, Ralf Metzler, HongGuang Sun and Zhifang Zhou and has published in prestigious journals such as Cement and Concrete Research, Construction and Building Materials and International Journal of Heat and Mass Transfer.

In The Last Decade

Yingjie Liang

69 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjie Liang China 18 469 232 175 162 107 74 1000
Xiu Yang United States 18 137 0.3× 175 0.8× 109 0.6× 72 0.4× 84 0.8× 59 954
Dambaru Bhatta United States 13 296 0.6× 112 0.5× 63 0.4× 141 0.9× 169 1.6× 41 1.0k
Kristoffer G. van der Zee United Kingdom 16 162 0.3× 101 0.4× 31 0.2× 135 0.8× 140 1.3× 40 1.1k
Fajie Wang China 28 225 0.5× 238 1.0× 378 2.2× 1.4k 8.5× 158 1.5× 96 1.9k
Roberto Garra Italy 18 962 2.1× 254 1.1× 34 0.2× 165 1.0× 477 4.5× 72 1.4k
K. Sobczyk Poland 19 72 0.2× 165 0.7× 431 2.5× 398 2.5× 42 0.4× 59 1.3k
Kang‐Le Wang China 26 1.3k 2.7× 1.2k 5.1× 35 0.2× 187 1.2× 364 3.4× 92 1.8k
James Geer United States 18 67 0.1× 124 0.5× 70 0.4× 113 0.7× 114 1.1× 70 938
Xu Yang China 17 57 0.1× 163 0.7× 31 0.2× 107 0.7× 109 1.0× 108 986
HongGuang Sun China 15 1.7k 3.7× 481 2.1× 90 0.5× 446 2.8× 960 9.0× 24 2.2k

Countries citing papers authored by Yingjie Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yingjie Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjie Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjie Liang. A scholar is included among the top collaborators of Yingjie Liang 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 Yingjie Liang. Yingjie Liang 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.
Gu, Shuai, Yao Liu, Shuhong Xie, et al.. (2025). Data-driven anomalous diffusion law for particles motion in Friedel’s salt via an improved deep physical symbolic regression. Construction and Building Materials. 492. 143001–143001.
2.
Wang, Junpeng, et al.. (2025). Time-varying viscosity fractal derivative model for ultraslow creep of concrete. Engineering Fracture Mechanics. 316. 110868–110868. 2 indexed citations
3.
Qiu, Lin, et al.. (2025). Physics-informed radial basis function network based on Hausdorff fractal distance for solving Hausdorff derivative elliptic problems. Computers & Mathematics with Applications. 183. 271–286. 4 indexed citations
4.
Liu, Yao, et al.. (2025). A multiscale local structural derivative model to characterize anomalous diffusion in fresh cement pastes. Journal of Building Engineering. 102. 111949–111949.
5.
Liu, Yao, et al.. (2024). A space fractal derivative crack model for characterizing chloride ions superdiffusion in concrete in the marine tidal zone. Construction and Building Materials. 450. 138585–138585. 2 indexed citations
6.
Shen, Jiayi, Yingjie Liang, Huachang Hong, & Jiawang Chen. (2024). Numerical Investigation of Burial Depth Effects on Tension of Submarine Power Cables. Journal of Marine Science and Engineering. 12(11). 1972–1972.
7.
Xu, Wei, Hui Liu, Yingjie Liang, & Shijun Zhao. (2024). The Caputo Nonlocal Structural Derivative Ultraslow Diffusion Model of Language Change and the Microscopic Mechanism. Fractal and Fractional. 8(1). 66–66. 1 indexed citations
8.
Wen, Hui, et al.. (2024). Non-local Maxwell model for ultraslow relaxation of concrete under different normal stress levels. Journal of Building Engineering. 92. 109773–109773. 4 indexed citations
9.
Liang, Yingjie, et al.. (2024). Material coordinate driven time-space scaled models for anomalous water absorption in swelling soils. Physica D Nonlinear Phenomena. 472. 134472–134472. 1 indexed citations
10.
Liang, Yingjie, et al.. (2023). A fractal model for characterizing multi-scaling particle diffusion behaviors in alkali-activated materials system. Cement and Concrete Research. 175. 107386–107386. 10 indexed citations
11.
Liang, Yingjie, Wei Wang, Ralf Metzler, & Andrey G. Cherstvy. (2023). Nonergodicity of confined superdiffusive fractional Brownian motion. Physical review. E. 108(5). L052101–L052101. 15 indexed citations
12.
Liang, Yingjie, Wei Wang, & Ralf Metzler. (2023). Anomalous diffusion, non-Gaussianity, and nonergodicity for subordinated fractional Brownian motion with a drift. Physical review. E. 108(2). 24143–24143. 7 indexed citations
13.
Liang, Yingjie, et al.. (2023). Characterization of Solute Mixing in Heterogeneous Media by Means of Fractal Dilution Index. Transport in Porous Media. 148(1). 123–135. 7 indexed citations
14.
Liang, Yingjie, Trifce Sandev, & E. K. Lenzi. (2020). Reaction and ultraslow diffusion on comb structures. Physical review. E. 101(4). 42119–42119. 13 indexed citations
15.
Wang, Jiang, Yingjie Liang, Lin Qiu, & Xu Yang. (2020). IMPROVED MACHINE LEARNING TECHNIQUE FOR SOLVING HAUSDORFF DERIVATIVE DIFFUSION EQUATIONS. Fractals. 28(4). 2050071–2050071. 5 indexed citations
16.
Magin, Richard L., et al.. (2019). Fractional Order Complexity Model of the Diffusion Signal Decay in MRI. Mathematics. 7(4). 348–348. 16 indexed citations
17.
Liang, Yingjie. (2018). Diffusion entropy method for ultraslow diffusion using inverse Mittag-Leffler function. Fractional Calculus and Applied Analysis. 21(1). 104–117. 9 indexed citations
18.
Liang, Yingjie, Wen Chen, Belinda S. Akpa, et al.. (2017). Using spectral and cumulative spectral entropy to classify anomalous diffusion in Sephadex™ gels. Computers & Mathematics with Applications. 73(5). 765–774. 22 indexed citations
19.
Cherniak, D. J., E. Bruce Watson, & Yingjie Liang. (2012). Diffusion of highly charged cations in olivine. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
20.
Cherniak, D. J. & Yingjie Liang. (2008). Ti Diffusion in Pyroxene. AGU Fall Meeting Abstracts. 2008. 1 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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