Lina Chang

970 total citations · 1 hit paper
18 papers, 778 citations indexed

About

Lina Chang is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Lina Chang has authored 18 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 6 papers in Computational Mechanics and 5 papers in Numerical Analysis. Recurrent topics in Lina Chang's work include Advanced Numerical Methods in Computational Mathematics (6 papers), Nonlinear Waves and Solitons (6 papers) and Nonlinear Photonic Systems (5 papers). Lina Chang is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), Nonlinear Waves and Solitons (6 papers) and Nonlinear Photonic Systems (5 papers). Lina Chang collaborates with scholars based in China, United States and Taiwan. Lina Chang's co-authors include I.-H. Tan, Evelyn L. Hu, Gregory L. Snider, Shunlong Luo, Guangwei Yuan, Hongting Song, Nan Li, Hanze Liu, Xiangpeng Xin and Lijun Zhang and has published in prestigious journals such as Journal of Applied Physics, Nuclear Physics B and Journal of Computational Physics.

In The Last Decade

Lina Chang

18 papers receiving 744 citations

Hit Papers

A self-consistent solution of Schrödinger–Poisson equatio... 1990 2026 2002 2014 1990 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lina Chang China 8 479 361 200 156 134 18 778
P. Singha Deo India 16 1.0k 2.2× 306 0.8× 601 3.0× 114 0.7× 109 0.8× 48 1.2k
Andreas Ruffing Germany 9 342 0.7× 177 0.5× 53 0.3× 143 0.9× 75 0.6× 32 521
D. R. Gulevich United Kingdom 17 554 1.2× 133 0.4× 216 1.1× 59 0.4× 45 0.3× 39 669
Steven E. Laux United States 7 867 1.8× 946 2.6× 143 0.7× 176 1.1× 24 0.2× 10 1.4k
V. N. Gladilin Belgium 18 1.0k 2.2× 387 1.1× 420 2.1× 293 1.9× 81 0.6× 76 1.3k
Shan-Wen Tsai United States 18 903 1.9× 177 0.5× 477 2.4× 477 3.1× 191 1.4× 58 1.3k
D. J. Rieger United States 15 346 0.7× 538 1.5× 433 2.2× 164 1.1× 111 0.8× 45 864
J. M. Hong United States 19 1.0k 2.1× 361 1.0× 280 1.4× 219 1.4× 24 0.2× 40 1.3k
Zhongqing Ji China 13 818 1.7× 281 0.8× 239 1.2× 381 2.4× 40 0.3× 29 946
M. Holland United Kingdom 16 934 1.9× 593 1.6× 170 0.8× 159 1.0× 32 0.2× 58 1.2k

Countries citing papers authored by Lina Chang

Since Specialization
Citations

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

Fields of papers citing papers by Lina Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Chang

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

All Works

18 of 18 papers shown
1.
Chang, Lina, et al.. (2024). Research on GCN-LSTM Emotion Recognition Algorithm with Attention Mechanism based on EEG. 170–174. 1 indexed citations
2.
Wang, Yihong, et al.. (2022). An edge-centered scheme for anisotropic diffusion problems with discontinuities on distorted quadrilateral meshes. Journal of Computational Science. 64. 101832–101832. 1 indexed citations
3.
Tang, Min, Lina Chang, & Yihong Wang. (2021). Tailored Finite Point Method for Diffusion Equations with Interfaces on Distorted Meshes. Journal of Scientific Computing. 90(1). 2 indexed citations
4.
Chang, Lina, Hanze Liu, & Lijun Zhang. (2020). Symmetry Reductions, Dynamical Behavior and Exact Explicit Solutions to a Class of Nonlinear Shallow Water Wave Equation. Qualitative Theory of Dynamical Systems. 19(1). 8 indexed citations
5.
Chang, Lina, Hanze Liu, & Xiangpeng Xin. (2020). Invariant Subspace Classification and Exact Explicit Solutions to a Class of Nonlinear Wave Equation. Qualitative Theory of Dynamical Systems. 19(2). 1 indexed citations
6.
Chang, Lina, Hanze Liu, & Xiangpeng Xin. (2020). Lie symmetry analysis, bifurcations and exact solutions for the (2+1)-dimensional dissipative long wave system. Journal of Applied Mathematics and Computing. 64(1-2). 807–823. 7 indexed citations
7.
Liu, Hanze, Lijun Zhang, Xuexia Li, & Lina Chang. (2020). Equivalent transformations, bifurcations and exact solutions to a class of variable-coefficient PDE. Nuclear Physics B. 960. 115172–115172. 2 indexed citations
8.
Li, Xuexia, Hanze Liu, & Lina Chang. (2020). Invariant Subspaces and Exact Solutions to the Generalized Strongly Dispersive DGH Equation. Journal of Applied Mathematics and Physics. 8(8). 1654–1663. 1 indexed citations
9.
Chang, Lina, et al.. (2019). Exact Solutions for a Class of Nonlinear PDE with Variable Coefficients Using ET and ETEM. Journal of Applied Mathematics and Physics. 7(11). 2685–2700. 1 indexed citations
10.
Chang, Lina, Zhiqiang Sheng, & Guangwei Yuan. (2019). An improvement of the two-point flux approximation scheme on polygonal meshes. Journal of Computational Physics. 392. 187–204. 6 indexed citations
11.
Chang, Lina, et al.. (2017). Boundary Element Calculation of Near-Boundary Solutions in 3D Generally Anisotropic Solids by the Self-Regularization Scheme. Journal of Mechanics. 33(6). 813–820. 1 indexed citations
12.
Chang, Lina, Nan Li, Shunlong Luo, & Hongting Song. (2014). Optimal extraction of information from two spins. Physical Review A. 89(4). 11 indexed citations
13.
Chang, Lina & Shunlong Luo. (2013). Remedying the local ancilla problem with geometric discord. Physical Review A. 87(6). 82 indexed citations
14.
Chang, Lina. (2013). A reconstruction algorithm with flexible stencils for anisotropic diffusion equations on 2D skewed meshes. Journal of Computational Physics. 256. 484–500. 2 indexed citations
15.
Song, Hongting, Shunlong Luo, Nan Li, & Lina Chang. (2013). Comparing quantum cloning: A Fisher-information perspective. Physical Review A. 88(4). 20 indexed citations
16.
Chang, Lina & Guangwei Yuan. (2012). An efficient and accurate reconstruction algorithm for the formulation of cell-centered diffusion schemes. Journal of Computational Physics. 231(20). 6935–6952. 9 indexed citations
17.
Chang, Lina & Guangwei Yuan. (2009). Cell-centered finite volume methods with flexible stencils for diffusion equations on general nonconforming meshes. Computer Methods in Applied Mechanics and Engineering. 198(17-20). 1638–1646. 24 indexed citations
18.
Tan, I.-H., Gregory L. Snider, Lina Chang, & Evelyn L. Hu. (1990). A self-consistent solution of Schrödinger–Poisson equations using a nonuniform mesh. Journal of Applied Physics. 68(8). 4071–4076. 599 indexed citations breakdown →

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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