Xinlong Feng

5.0k total citations
301 papers, 3.9k citations indexed

About

Xinlong Feng is a scholar working on Computational Mechanics, Numerical Analysis and Mechanics of Materials. According to data from OpenAlex, Xinlong Feng has authored 301 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Computational Mechanics, 132 papers in Numerical Analysis and 64 papers in Mechanics of Materials. Recurrent topics in Xinlong Feng's work include Advanced Numerical Methods in Computational Mathematics (170 papers), Differential Equations and Numerical Methods (94 papers) and Computational Fluid Dynamics and Aerodynamics (83 papers). Xinlong Feng is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (170 papers), Differential Equations and Numerical Methods (94 papers) and Computational Fluid Dynamics and Aerodynamics (83 papers). Xinlong Feng collaborates with scholars based in China, United States and Canada. Xinlong Feng's co-authors include Yinnian He, Shuying Zhai, Xufeng Xiao, Pengzhan Huang, Zhifeng Weng, Haiyan Su, Jiang Yang, Tao Tang, Dongwei GUI and Demin Liu and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Xinlong Feng

285 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinlong Feng China 30 2.3k 1.5k 825 807 708 301 3.9k
Božidar Šarler Slovenia 34 1.6k 0.7× 466 0.3× 2.5k 3.0× 476 0.6× 148 0.2× 211 3.9k
Stefan Turek Germany 34 3.4k 1.5× 492 0.3× 483 0.6× 273 0.3× 641 0.9× 166 5.0k
Alberto Valli Italy 19 3.2k 1.4× 1.0k 0.7× 1.3k 1.5× 96 0.1× 1.5k 2.1× 59 5.1k
Zhiping Mao United States 18 927 0.4× 570 0.4× 397 0.5× 187 0.2× 165 0.2× 37 3.1k
C. Vuik Netherlands 34 2.1k 0.9× 456 0.3× 651 0.8× 402 0.5× 1.3k 1.8× 312 4.7k
E.J. Kansa United States 27 2.7k 1.2× 826 0.5× 4.9k 5.9× 139 0.2× 209 0.3× 65 6.0k
Mostafa Abbaszadeh Iran 41 982 0.4× 2.3k 1.5× 2.1k 2.6× 139 0.2× 201 0.3× 165 4.5k
Jacques Louis Lions France 22 2.2k 0.9× 1.2k 0.8× 1.9k 2.3× 279 0.3× 5.5k 7.8× 56 9.5k
J.I. Ramos Spain 24 1.1k 0.5× 990 0.7× 202 0.2× 89 0.1× 160 0.2× 253 3.0k
William Layton United States 39 4.3k 1.9× 956 0.6× 616 0.7× 65 0.1× 1.4k 1.9× 161 4.8k

Countries citing papers authored by Xinlong Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xinlong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlong Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlong Feng. A scholar is included among the top collaborators of Xinlong Feng 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 Xinlong Feng. Xinlong Feng 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.
Feng, Xinlong, et al.. (2025). Finite Element Method for Time-Fractional Navier–Stokes Equations with Nonlinear Damping. Fractal and Fractional. 9(7). 445–445. 1 indexed citations
2.
Jiang, Lixiang, et al.. (2025). Prediction of compressor blade cascade flow field based on Fourier neural operator. Aerospace Science and Technology. 163. 110208–110208. 1 indexed citations
3.
Wang, Yan, Junxiang Yang, Xufeng Xiao, & Xinlong Feng. (2024). Efficient numerical simulation for the dendritic crystal growth with melt convection in complex domains. International Journal of Heat and Mass Transfer. 233. 126036–126036. 3 indexed citations
4.
Feng, Xinlong, et al.. (2024). Error analysis of Crank-Nicolson-Leapfrog scheme for the two-phase Cahn-Hilliard-Navier-Stokes incompressible flows. Computers & Mathematics with Applications. 172. 78–93. 1 indexed citations
5.
Wang, Jie, Xinlong Feng, & Hui Xu. (2024). Adaptive sampling points based multi-scale residual network for solving partial differential equations. Computers & Mathematics with Applications. 169. 223–236. 5 indexed citations
6.
Xiao, Xufeng, et al.. (2024). Direct RBF-PU method combined with the tangent plane approach for parabolic equation on surface. Engineering Analysis with Boundary Elements. 165. 105794–105794. 2 indexed citations
7.
Feng, Xinlong, et al.. (2024). An analysis of second-order sav-filtered time-stepping finite element method for unsteady natural convection problems. Communications in Nonlinear Science and Numerical Simulation. 140. 108365–108365. 2 indexed citations
8.
Liu, Yaru, et al.. (2024). Difference Finite Element Methods Based on Different Discretization Elements for the Four-Dimensional Poisson Equation. East Asian Journal on Applied Mathematics. 15(2). 415–438.
9.
Wang, Wenhu, et al.. (2023). Prediction of shear strength of RC slender beams based on interpretable machine learning. Structures. 57. 105171–105171. 12 indexed citations
10.
Wang, Yan, Xufeng Xiao, & Xinlong Feng. (2023). Efficient numerical simulation of the conserved Allen–Cahn type flow-coupled binary fluid-surfactant model by a dimension splitting method. International Journal of Multiphase Flow. 169. 104607–104607. 6 indexed citations
11.
Wang, Yan, et al.. (2023). An efficient dimension splitting p-adaptive method for the binary fluid surfactant phase field model. Computers & Mathematics with Applications. 142. 84–96. 2 indexed citations
12.
Wang, Sixuan, et al.. (2023). Prediction of shear strength of RC deep beams based on interpretable machine learning. Construction and Building Materials. 387. 131640–131640. 26 indexed citations
13.
Liu, Yajun, et al.. (2023). A stable radial basis function partition of unity method for solving convection–diffusion equations on surfaces. Engineering Analysis with Boundary Elements. 155. 148–159. 10 indexed citations
14.
15.
Wang, Haolin, Dongwei GUI, Xinlong Feng, et al.. (2023). Simulation of potential vegetation distribution in arid areas at regional scale. CATENA. 232. 107428–107428. 10 indexed citations
16.
Zhang, Jiaqi, Haiyan Su, & Xinlong Feng. (2023). Gauge–Uzawa-based, highly efficient decoupled schemes for the diffuse interface model of two-phase magnetohydrodynamic. Communications in Nonlinear Science and Numerical Simulation. 126. 107477–107477. 2 indexed citations
17.
Weng, Zhifeng, et al.. (2023). Energy dissipation and maximum bound principle preserving scheme for solving a nonlocal ternary Allen-Cahn model. Computers & Mathematics with Applications. 155. 150–164. 14 indexed citations
18.
Xiao, Xufeng, et al.. (2020). A Petrov–Galerkin finite element method for simulating chemotaxis models on stationary surfaces. Computers & Mathematics with Applications. 79(11). 3189–3205. 7 indexed citations
19.
Gao, Zhiming, et al.. (2019). A positivity-preserving nonlinear finite volume scheme for radionuclide transport calculations in geological radioactive waste repository. International Journal of Numerical Methods for Heat & Fluid Flow. 30(2). 516–534. 6 indexed citations
20.
Ping, Yuan, Haiyan Su, Jianping Zhao, & Xinlong Feng. (2019). Parallel two-step finite element algorithm based on fully overlapping domain decomposition for the time-dependent natural convection problem. International Journal of Numerical Methods for Heat & Fluid Flow. 30(2). 496–515. 10 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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