Kejia Pan

1.8k total citations
129 papers, 1.4k citations indexed

About

Kejia Pan is a scholar working on Computational Mechanics, Numerical Analysis and Biomedical Engineering. According to data from OpenAlex, Kejia Pan has authored 129 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computational Mechanics, 35 papers in Numerical Analysis and 26 papers in Biomedical Engineering. Recurrent topics in Kejia Pan's work include Advanced Numerical Methods in Computational Mathematics (39 papers), Nanofluid Flow and Heat Transfer (23 papers) and Electromagnetic Simulation and Numerical Methods (21 papers). Kejia Pan is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (39 papers), Nanofluid Flow and Heat Transfer (23 papers) and Electromagnetic Simulation and Numerical Methods (21 papers). Kejia Pan collaborates with scholars based in China, United States and Pakistan. Kejia Pan's co-authors include Dongdong He, Arif Ullah Khan, M. Riaz Khan, Zhengyong Ren, S. Nadeem, Jingtian Tang, Rashid Ali, Chaojian Chen, Naeem Ullah and Rongwen Guo and has published in prestigious journals such as Journal of Computational Physics, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kejia Pan

112 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kejia Pan China 20 533 388 340 300 240 129 1.4k
Dongwoo Sheen South Korea 21 883 1.7× 141 0.4× 307 0.9× 77 0.3× 160 0.7× 99 1.8k
Juan José Benito Spain 21 701 1.3× 53 0.1× 260 0.8× 72 0.2× 111 0.5× 58 1.6k
Dambaru Bhatta United States 13 309 0.6× 210 0.5× 169 0.5× 146 0.5× 18 0.1× 41 1.0k
Angelo Morro Italy 21 249 0.5× 592 1.5× 38 0.1× 111 0.4× 150 0.6× 218 2.1k
Francisco Ureña Spain 18 612 1.1× 49 0.1× 256 0.8× 62 0.2× 59 0.2× 60 1.4k
L. Gavete Spain 20 673 1.3× 49 0.1× 218 0.6× 67 0.2× 60 0.3× 51 1.4k
V. G. Romanov Russia 20 118 0.2× 426 1.1× 80 0.2× 95 0.3× 173 0.7× 151 2.1k
С. Л. Соболев Russia 21 257 0.5× 128 0.3× 247 0.7× 438 1.5× 38 0.2× 66 2.0k
Gary Cohen France 21 764 1.4× 100 0.3× 190 0.6× 93 0.3× 246 1.0× 40 1.6k
Marco Donatelli Italy 21 633 1.2× 131 0.3× 340 1.0× 51 0.2× 26 0.1× 102 1.4k

Countries citing papers authored by Kejia Pan

Since Specialization
Citations

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

Fields of papers citing papers by Kejia Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejia Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Kejia Pan. A scholar is included among the top collaborators of Kejia Pan 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 Kejia Pan. Kejia Pan 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.
Pan, Kejia, et al.. (2026). Unsteady MHD Casson ternary hybrid nanofluid flow over a rotating inclined disk in a non-Darcy porous medium: a comparative study of Xue and Yamada–Ota models. International Journal of Numerical Methods for Heat & Fluid Flow. 36(2). 1076–1095.
2.
3.
Pan, Kejia, et al.. (2025). A Fast Cascadic Multigrid Method for Exponential Compact FD Discretization of Singularly Perturbed Convection-Diffusion Equations. East Asian Journal on Applied Mathematics. 16(2). 301–325.
4.
Pan, Kejia, et al.. (2024). High order compact augmented methods for Stokes equations with different boundary conditions. Computer Physics Communications. 301. 109233–109233.
5.
Pan, Kejia, et al.. (2024). Biquadratic element discrete duality finite volume method for solving elliptic equations on quadrilateral mesh. Journal of Computational Physics. 503. 112857–112857.
6.
Pan, Kejia, et al.. (2024). A 3-D Magnetotelluric Inversion Method Based on the Joint Data-Driven and Physics-Driven Deep Learning Technology. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 4 indexed citations
7.
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Li, Zhilin, et al.. (2023). Accurate derivatives approximations and applications to some elliptic PDEs using HOC methods. Applied Mathematics and Computation. 459. 128265–128265. 1 indexed citations
9.
Pan, Kejia, et al.. (2023). A sixth order quasi-compact finite difference method for Helmholtz equations with variable wave numbers. Applied Mathematics Letters. 146. 108805–108805. 1 indexed citations
10.
Li, Zhilin, et al.. (2023). Stable high order FD methods for interface and internal layer problems based on non-matching grids. Numerical Algorithms. 96(4). 1647–1674.
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Shah, Murad Ali, Kejia Pan, Rui Chen, Zhengru Zhang, & Dongdong He. (2023). A decoupled finite element scheme for simulating the dynamics of red blood cells in an L-shaped cavity. Computers & Mathematics with Applications. 140. 169–182. 4 indexed citations
13.
Pan, Kejia, et al.. (2023). MT2DInv-Unet: A 2D magnetotelluric inversion method based on deep-learning technology. Geophysics. 89(2). G13–G27. 7 indexed citations
14.
Pan, Kejia, et al.. (2022). Extrapolation Cascadic Multigrid Method for Cell-Centered FV Discretization of Diffusion Equations with Strongly Discontinuous and Anisotropic Coefficients. Communications in Computational Physics. 31(5). 1561–1584. 2 indexed citations
15.
He, Dongdong, et al.. (2021). A conservative difference scheme with optimal pointwise error estimates for two‐dimensional space fractional nonlinear Schrödinger equations. Numerical Methods for Partial Differential Equations. 38(1). 4–32. 3 indexed citations
16.
Pan, Kejia, Dongdong He, & Zhilin Li. (2021). A High Order Compact FD Framework for Elliptic BVPs Involving Singular Sources, Interfaces, and Irregular Domains. Journal of Scientific Computing. 88(3). 13 indexed citations
17.
Li, Xi, Tongmao Li, Rungting Tu, et al.. (2020). Efficient energy stable scheme for volume-conserved phase-field elastic bending energy model of lipid vesicles. Journal of Computational and Applied Mathematics. 385. 113177–113177. 3 indexed citations
18.
Pan, Mingyang, et al.. (2020). Positive-definiteness preserving and energy stable time-marching scheme for a diffusive Oldroyd-B electrohydrodynamic model. Communications in Nonlinear Science and Numerical Simulation. 95. 105630–105630. 3 indexed citations
19.
Pan, Mingyang, Dongdong He, & Kejia Pan. (2020). Energy stable finite element method for an electrohydrodynamic model with variable density. Journal of Computational Physics. 424. 109870–109870. 13 indexed citations
20.
Pan, Kejia, et al.. (2019). Pointwise error estimates of a linearized difference scheme for strongly coupled fractional Ginzburg‐Landau equations. Mathematical Methods in the Applied Sciences. 43(2). 512–535. 11 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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