Jinkui Liu

439 total citations
29 papers, 340 citations indexed

About

Jinkui Liu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Jinkui Liu has authored 29 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Numerical Analysis, 12 papers in Computational Theory and Mathematics and 6 papers in Computational Mechanics. Recurrent topics in Jinkui Liu's work include Advanced Optimization Algorithms Research (20 papers), Iterative Methods for Nonlinear Equations (17 papers) and Sparse and Compressive Sensing Techniques (6 papers). Jinkui Liu is often cited by papers focused on Advanced Optimization Algorithms Research (20 papers), Iterative Methods for Nonlinear Equations (17 papers) and Sparse and Compressive Sensing Techniques (6 papers). Jinkui Liu collaborates with scholars based in China, Nigeria and South Africa. Jinkui Liu's co-authors include Yuming Feng, Shengjie Li, Shiping Wen, Wei Zhang, Paul Augustine Ejegwa, Ning Zhang, Zuliang Lu, Auwal Bala Abubakar, Fei Cai and Jiaxuan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Computers & Operations Research.

In The Last Decade

Jinkui Liu

27 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinkui Liu China 9 243 175 93 74 56 29 340
Yasushi Narushima Japan 12 429 1.8× 221 1.3× 216 2.3× 51 0.7× 54 1.0× 26 528
S.J. Li China 10 327 1.3× 122 0.7× 339 3.6× 54 0.7× 25 0.4× 29 490
Parin Chaipunya Thailand 10 138 0.6× 69 0.4× 136 1.5× 30 0.4× 20 0.4× 52 334
William La Cruz Venezuela 6 421 1.7× 200 1.1× 188 2.0× 70 0.9× 58 1.0× 13 506
Christopher Hendrich Germany 7 221 0.9× 188 1.1× 300 3.2× 116 1.6× 16 0.3× 11 371
Zhensheng Yu China 9 231 1.0× 109 0.6× 154 1.7× 36 0.5× 21 0.4× 47 321
Gong Chen United States 3 153 0.6× 123 0.7× 174 1.9× 47 0.6× 18 0.3× 4 278
Ismail Mohd Malaysia 10 237 1.0× 127 0.7× 133 1.4× 9 0.1× 45 0.8× 55 387
Yunier Bello-Cruz Brazil 14 453 1.9× 210 1.2× 491 5.3× 96 1.3× 9 0.2× 43 596
Andrzej Cegielski Poland 11 354 1.5× 122 0.7× 448 4.8× 74 1.0× 12 0.2× 25 515

Countries citing papers authored by Jinkui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jinkui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinkui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinkui Liu. A scholar is included among the top collaborators of Jinkui 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 Jinkui Liu. Jinkui 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, Jinkui, et al.. (2024). A three-term subspace projection method for solving systems of nonlinear monotone equations. Journal of Industrial and Management Optimization. 21(3). 1931–1945.
2.
Liu, Jinkui, et al.. (2024). An inertia projection method for nonlinear pseudo-monotone equations with convex constraints. Numerical Algorithms. 99(4). 1829–1853.
3.
Jiang, Shan, et al.. (2024). A Novel Spatiotemporal Periodic Polynomial Model for Predicting Road Traffic Speed. Symmetry. 16(5). 537–537. 1 indexed citations
4.
Xiong, Jiang, et al.. (2023). An adaptive conjugate gradient method for impulse noise removal. Journal of Industrial and Management Optimization. 20(6). 2050–2061. 1 indexed citations
5.
Zhang, Ning & Jinkui Liu. (2023). A self-adaptive projection method for nonlinear monotone equations with convex constraints. Journal of Industrial and Management Optimization. 19(11). 8152–8163. 4 indexed citations
6.
Abubakar, Auwal Bala, Poom Kumam, Jinkui Liu, Hassan Mohammad, & Christiane Tammer. (2023). New three-term conjugate gradient algorithm for solving monotone nonlinear equations and signal recovery problems. International Journal of Computer Mathematics. 100(10). 1992–2013. 1 indexed citations
7.
Abubakar, Auwal Bala, et al.. (2023). Comment on: “A derivative-free iterative method for nonlinear monotone equations with convex constraints”. Numerical Algorithms. 94(4). 1551–1560. 9 indexed citations
8.
Ejegwa, Paul Augustine, Shiping Wen, Yuming Feng, Wei Zhang, & Jinkui Liu. (2022). A three-way Pythagorean fuzzy correlation coefficient approach and its applications in deciding some real-life problems. Applied Intelligence. 53(1). 226–237. 25 indexed citations
9.
Liu, Jinkui & Shengjie Li. (2016). Multivariate spectral DY-type projection method for convex constrained nonlinear monotone equations. Journal of Industrial and Management Optimization. 13(1). 283–295. 34 indexed citations
10.
Liu, Jinkui, et al.. (2014). New three-term conjugate gradient method for solving unconstrained optimization problems. ScienceAsia. 40(4). 295–295. 10 indexed citations
11.
Liu, Jinkui. (2013). Convergence properties of a class of nonlinear conjugate gradient methods. Computers & Operations Research. 40(11). 2656–2661. 6 indexed citations
12.
Liu, Jinkui, et al.. (2013). GLOBAL CONVERGENCE OF AN EFFICIENT HYBRID CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION. Bulletin of the Korean Mathematical Society. 50(1). 73–81. 2 indexed citations
13.
Liu, Jinkui, et al.. (2012). Global Convergence of a Spectral Conjugate Gradient Method for Unconstrained Optimization. Abstract and Applied Analysis. 2012(1). 12 indexed citations
14.
Liu, Jinkui, et al.. (2012). A Mixed Spectral CD‐DY Conjugate Gradient Method. SHILAP Revista de lepidopterología. 2012(1). 6 indexed citations
15.
Liu, Jinkui, et al.. (2012). Global Convergence of a Modified LS Method. Mathematical Problems in Engineering. 2012(1). 1 indexed citations
16.
Liu, Jinkui, et al.. (2011). Steady-state Analysis of Bernoulli Feedback on GeomX /G/1 Queue with Multiple Vacation and Set-up Times. International Journal of Applied Physics and Mathematics. 60–65. 3 indexed citations
17.
Liu, Jinkui, et al.. (2011). Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization. Journal of Inequalities and Applications. 2011(1). 7 indexed citations
18.
Liu, Jinkui & Yuming Feng. (2011). Global convergence of a modified LS nonlinear conjugate gradient method. Procedia Engineering. 15. 4357–4361. 4 indexed citations
19.
Liu, Jinkui, et al.. (2011). Global Convergence Of A Spectral Hs Conjugate Gradient Method. Procedia Engineering. 15. 1487–1492. 12 indexed citations
20.
Liu, Jinkui. (2008). Global Convergence of Two Classes of Descent Nonlinear Conjugate Gradient Methods. Mathematica Applicata. 2 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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