Jiang Yang

3.3k total citations · 2 hit papers
41 papers, 2.3k citations indexed

About

Jiang Yang is a scholar working on Materials Chemistry, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Jiang Yang has authored 41 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 17 papers in Computational Mechanics and 15 papers in Numerical Analysis. Recurrent topics in Jiang Yang's work include Solidification and crystal growth phenomena (18 papers), Differential Equations and Numerical Methods (11 papers) and Advanced Mathematical Modeling in Engineering (10 papers). Jiang Yang is often cited by papers focused on Solidification and crystal growth phenomena (18 papers), Differential Equations and Numerical Methods (11 papers) and Advanced Mathematical Modeling in Engineering (10 papers). Jiang Yang collaborates with scholars based in China, Hong Kong and United States. Jiang Yang's co-authors include Jie Shen, Jie Xu, Tao Tang, Qiang Du, Xinlong Feng, Zhi Zhou, Buyang Li, Chaoyu Quan, Lili Ju and Zhonghua Qiao and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Jiang Yang

38 papers receiving 2.2k citations

Hit Papers

The scalar auxiliary variable (SAV) approach for gradient... 2017 2026 2020 2023 2017 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The scalar auxiliary variable (SAV) approach for gradient flows
    2017 690 citations Jie Shen, Jie Xu et al. Journal of Computational Physics profile →
  2. A New Class of Efficient and Robust Energy Stable Schemes for Gradient Flows
    2019 449 citations Jie Shen, Jie Xu et al. SIAM Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiang Yang China 19 1.3k 1.2k 1.0k 570 377 41 2.3k
Zhonghua Qiao Hong Kong 27 1.4k 1.0× 1.5k 1.2× 1.0k 1.0× 675 1.2× 175 0.5× 89 2.5k
Yuezheng Gong China 18 410 0.3× 522 0.4× 608 0.6× 164 0.3× 172 0.5× 52 1.1k
Buyang Li Hong Kong 26 186 0.1× 1.1k 0.9× 1.2k 1.2× 529 0.9× 821 2.2× 117 2.4k
Jürgen Sprekels Germany 21 1.2k 0.9× 256 0.2× 143 0.1× 979 1.7× 111 0.3× 100 2.4k
Amy Novick-Cohen Israel 21 1.0k 0.8× 534 0.4× 155 0.2× 596 1.0× 75 0.2× 67 1.5k
Yinnian He China 38 434 0.3× 4.5k 3.7× 1.9k 1.8× 1.3k 2.2× 562 1.5× 237 5.4k
Georgios Akrivis Greece 23 171 0.1× 946 0.8× 1.0k 1.0× 348 0.6× 241 0.6× 64 1.7k
Hong-lin Liao China 23 303 0.2× 468 0.4× 1.8k 1.8× 150 0.3× 1.5k 4.0× 55 2.2k

Countries citing papers authored by Jiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Yang. A scholar is included among the top collaborators of Jiang Yang 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 Jiang Yang. Jiang Yang 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.
Li, Lingfeng, et al.. (2024). A Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs. Journal of Scientific Computing. 98(2). 3 indexed citations
2.
Du, Qiang, et al.. (2024). Computational and analytical studies of a new nonlocal phase-field crystal model in two dimensions. Mathematical Models and Methods in Applied Sciences. 34(11). 2099–2139. 3 indexed citations
3.
Li, Dongfang, et al.. (2024). Relaxation Exponential Runge-Kutta Methods and Their Applications to Semilinear Dissipative/Conservative Systems. Communications in Computational Physics. 36(4). 908–942. 6 indexed citations
4.
Quan, Chaoyu, Xu Wu, & Jiang Yang. (2023). Long time H1-stability of fast L2-1σ method on general nonuniform meshes for subdiffusion equations. Journal of Computational and Applied Mathematics. 440. 115647–115647. 6 indexed citations
5.
Yang, Jiang, et al.. (2022). A Local Deep Learning Method for Solving High Order Partial Differential Equations. Numerical Mathematics Theory Methods and Applications. 15(1). 42–67. 5 indexed citations
6.
Yang, Jiang, et al.. (2022). Energy-decreasing exponential time differencing Runge–Kutta methods for phase-field models. Journal of Computational Physics. 454. 110943–110943. 61 indexed citations
7.
Yang, Jiang, et al.. (2022). Arbitrarily High-Order Maximum Bound Preserving Schemes with Cut-off Postprocessing for Allen–Cahn Equations. Journal of Scientific Computing. 90(2). 29 indexed citations
8.
Fu, Zhaohui, Tao Tang, & Jiang Yang. (2022). Energy Plus Maximum Bound Preserving Runge–Kutta Methods for the Allen–Cahn Equation. Journal of Scientific Computing. 92(3). 8 indexed citations
9.
Yang, Jiang, Linfeng Gou, & Huihui Li. (2021). Robust Adaptive Diagnosis for Multiple Faults of Aeroengine Actuator. 4623–4629. 1 indexed citations
10.
Ju, Lili, et al.. (2021). Maximum bound principle preserving integrating factor Runge–Kutta methods for semilinear parabolic equations. Journal of Computational Physics. 439. 110405–110405. 60 indexed citations
11.
Tai, Xue‐Cheng, et al.. (2020). A new variational approach based on level-set function for convex hull problem with outliers. Inverse Problems and Imaging. 15(2). 315–338. 6 indexed citations
12.
Quan, Chaoyu, Tao Tang, & Jiang Yang. (2020). How to Define Dissipation-Preserving Energy for Time-Fractional Phase-Field Equations. 1(3). 478–490. 40 indexed citations
13.
Li, Huihui, et al.. (2020). Multiple Fault Diagnosis of Aeroengine Control System Based on Autoassociative Neural Network. 6. 107–113. 3 indexed citations
14.
Li, Buyang, Jiang Yang, & Zhi Zhou. (2020). Arbitrarily High-Order Exponential Cut-Off Methods for Preserving Maximum Principle of Parabolic Equations. SIAM Journal on Scientific Computing. 42(6). A3957–A3978. 59 indexed citations
15.
Du, Qiang, Jiang Yang, & Zhi Zhou. (2020). Time-Fractional Allen–Cahn Equations: Analysis and Numerical Methods. Journal of Scientific Computing. 85(2). 86 indexed citations
16.
17.
Shen, Jie, Jie Xu, & Jiang Yang. (2019). A New Class of Efficient and Robust Energy Stable Schemes for Gradient Flows. SIAM Review. 61(3). 474–506. 449 indexed citations breakdown →
18.
Shen, Jie, Jie Xu, & Jiang Yang. (2017). The scalar auxiliary variable (SAV) approach for gradient flows. Journal of Computational Physics. 353. 407–416. 690 indexed citations breakdown →
19.
Tang, Tao & Jiang Yang. (2016). Implicit-Explicit Scheme for the Allen-Cahn Equation Preserves the Maximum Principle. Journal of Computational Mathematics. 34(5). 451–461. 124 indexed citations
20.
Du, Qiang & Jiang Yang. (2016). Fast and accurate implementation of Fourier spectral approximations of nonlocal diffusion operators and its applications. Journal of Computational Physics. 332. 118–134. 30 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhonghua Qiao Breakdown of academic impact, for papers by Yuezheng Gong Breakdown of academic impact, for papers by Buyang Li Breakdown of academic impact, for papers by Jürgen Sprekels Breakdown of academic impact, for papers by Amy Novick-Cohen Breakdown of academic impact, for papers by Yinnian He Breakdown of academic impact, for papers by Georgios Akrivis Breakdown of academic impact, for papers by Hong-lin Liao
Rankless by CCL
2026