Pengjie Liu

571 total citations
33 papers, 344 citations indexed

About

Pengjie Liu is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Pengjie Liu has authored 33 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 20 papers in Numerical Analysis and 11 papers in Computational Theory and Mathematics. Recurrent topics in Pengjie Liu's work include Sparse and Compressive Sensing Techniques (21 papers), Advanced Optimization Algorithms Research (20 papers) and Iterative Methods for Nonlinear Equations (7 papers). Pengjie Liu is often cited by papers focused on Sparse and Compressive Sensing Techniques (21 papers), Advanced Optimization Algorithms Research (20 papers) and Iterative Methods for Nonlinear Equations (7 papers). Pengjie Liu collaborates with scholars based in China, Hong Kong and United States. Pengjie Liu's co-authors include Hu Shao, Xiaoyu Wu, Jinbao Jian, Xianzhen Jiang, Xiaoyu Wu, Chen Zhang, Bo He, Huimin Huang, Zhengbing He and Lin Yang and has published in prestigious journals such as Journal of Power Sources, Transportation Research Part C Emerging Technologies and Transportation Research Part E Logistics and Transportation Review.

In The Last Decade

Pengjie Liu

27 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengjie Liu China 13 232 219 99 96 38 33 344
Yasushi Narushima Japan 12 429 1.8× 221 1.0× 54 0.5× 216 2.3× 51 1.3× 26 528
Wah June Leong Malaysia 10 243 1.0× 123 0.6× 20 0.2× 155 1.6× 18 0.5× 35 357
Chunming Tang China 11 335 1.4× 174 0.8× 20 0.2× 235 2.4× 20 0.5× 43 423
Jamaludin Md. Ali Malaysia 11 52 0.2× 307 1.4× 93 0.9× 16 0.2× 14 0.4× 51 381
Max L. N. Gonçalves Brazil 11 214 0.9× 90 0.4× 9 0.1× 169 1.8× 34 0.9× 29 284
Marie‐Laurence Mazure France 19 138 0.6× 795 3.6× 160 1.6× 97 1.0× 33 0.9× 73 895
Andreas Themelis Japan 8 131 0.6× 138 0.6× 65 0.7× 77 0.8× 32 0.8× 21 270
Georg Vossen Germany 7 57 0.2× 64 0.3× 16 0.2× 46 0.5× 8 0.2× 20 244
Hideki Sano Japan 9 60 0.3× 35 0.2× 22 0.2× 144 1.5× 64 1.7× 63 308
İdiris Dağ Türkiye 10 83 0.4× 36 0.2× 10 0.1× 29 0.3× 10 0.3× 15 266

Countries citing papers authored by Pengjie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pengjie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengjie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengjie Liu. A scholar is included among the top collaborators of Pengjie Liu 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 Pengjie Liu. Pengjie Liu 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.
Liu, Pengjie, et al.. (2025). An accelerated Dai–Yuan conjugate gradient projection method with the optimal choice. Engineering Optimization. 57(12). 3648–3676.
2.
Wu, Zheng, Zhiwei Zhao, Zheng Fang, et al.. (2025). Rapid sorting of retired lithium-ion batteries using novel sorting feature extraction and a two-step classification method. Journal of Power Sources. 654. 237845–237845.
3.
Liu, Pengjie, et al.. (2025). Solving unconstrained optimization using a spectral CG method with restart feature and its application. Journal of Applied Mathematics and Computing. 71(3). 3087–3107. 1 indexed citations
4.
Liu, Pengjie, et al.. (2025). Two inertial-relaxed hybridized CG projection-based algorithms for solving nonlinear monotone equations applied in image restoration. Journal of Computational and Applied Mathematics. 464. 116546–116546. 1 indexed citations
5.
Liu, Pengjie, et al.. (2025). Modeling the sparsity and density of measurement errors for origin–destination demand estimation. Transportation Research Part E Logistics and Transportation Review. 201. 104253–104253.
6.
Liu, Pengjie, et al.. (2025). A Family of Effective Spectral CG Methods With an Adaptive Restart Scheme. Mathematical Methods in the Applied Sciences. 48(5). 6035–6047. 1 indexed citations
7.
8.
9.
Chen, Zibo, et al.. (2024). An efficient hybrid conjugate gradient method with an adaptive strategy and applications in image restoration problems. Applied Numerical Mathematics. 204. 362–379. 10 indexed citations
10.
Liu, Pengjie, et al.. (2024). A Bregman-Style Improved ADMM and its Linearized Version in the Nonconvex Setting: Convergence and Rate Analyses. Journal of the Operations Research Society of China. 12(2). 298–340. 3 indexed citations
11.
Shao, Hu, et al.. (2023). Two families of self-adjusting spectral hybrid DL conjugate gradient methods and applications in image denoising. Applied Mathematical Modelling. 118. 393–411. 22 indexed citations
12.
Jian, Jinbao, et al.. (2023). Convergence analysis of an improved Bregman-type Peaceman–Rachford splitting algorithm for nonconvex nonseparable linearly constrained optimization problems. Journal of Computational and Applied Mathematics. 426. 115086–115086. 2 indexed citations
13.
Wu, Xiaoyu, et al.. (2023). An Inertial Spectral CG Projection Method Based on the Memoryless BFGS Update. Journal of Optimization Theory and Applications. 198(3). 1130–1155. 24 indexed citations
14.
15.
Liu, Pengjie, et al.. (2023). A family of inertial‐based derivative‐free projection methods with a correction step for constrained nonlinear equations and their applications. Numerical Linear Algebra with Applications. 31(2). 10 indexed citations
16.
17.
Zheng, Liang, Pengjie Liu, Huimin Huang, Bin Ran, & Zhengbing He. (2022). Time-of-day pricing for toll roads under traffic demand uncertainties: A distributionally robust simulation-based optimization method. Transportation Research Part C Emerging Technologies. 144. 103894–103894. 19 indexed citations
18.
Jian, Jinbao, Pengjie Liu, Xianzhen Jiang, & Chen Zhang. (2022). Two classes of spectral conjugate gradient methods for unconstrained optimizations. Journal of Applied Mathematics and Computing. 68(6). 4435–4456. 14 indexed citations
19.
Jian, Jinbao, et al.. (2021). A QCQP-based splitting SQP algorithm for two-block nonconvex constrained optimization problems with application. Journal of Computational and Applied Mathematics. 390. 113368–113368. 14 indexed citations
20.
Jian, Jinbao, et al.. (2020). A Spectral Conjugate Gradient Method with Descent Property. Mathematics. 8(2). 280–280. 20 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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