Jinbao Jian

2.5k total citations
168 papers, 1.7k citations indexed

About

Jinbao Jian is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Jinbao Jian has authored 168 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Numerical Analysis, 96 papers in Computational Theory and Mathematics and 67 papers in Computational Mechanics. Recurrent topics in Jinbao Jian's work include Advanced Optimization Algorithms Research (122 papers), Optimization and Variational Analysis (86 papers) and Sparse and Compressive Sensing Techniques (64 papers). Jinbao Jian is often cited by papers focused on Advanced Optimization Algorithms Research (122 papers), Optimization and Variational Analysis (86 papers) and Sparse and Compressive Sensing Techniques (64 papers). Jinbao Jian collaborates with scholars based in China, Australia and Malaysia. Jinbao Jian's co-authors include Xianzhen Jiang, Linfeng Yang, Jianghua Yin, Chunming Tang, Shanshan Pan, Qingjie Hu, Zhaoyang Dong, Pengjie Liu, Zhibin Zhu and Ke Meng and has published in prestigious journals such as Applied Energy, European Journal of Operational Research and IEEE Transactions on Power Systems.

In The Last Decade

Jinbao Jian

153 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinbao Jian China 24 935 667 613 501 284 168 1.7k
Frank E. Curtis United States 20 532 0.6× 374 0.6× 397 0.6× 88 0.2× 225 0.8× 63 1.0k
Zengxin Wei China 24 1.6k 1.7× 760 1.1× 936 1.5× 55 0.1× 156 0.5× 69 1.9k
Neculai Andrei Romania 26 1.5k 1.6× 688 1.0× 881 1.4× 69 0.1× 170 0.6× 48 1.8k
Matthias Gerdts Germany 19 301 0.3× 155 0.2× 277 0.5× 94 0.2× 573 2.0× 101 1.3k
Rekha R. Thomas United States 17 216 0.2× 148 0.2× 573 0.9× 96 0.2× 104 0.4× 56 1.1k
Min Tao China 15 333 0.4× 868 1.3× 263 0.4× 154 0.3× 45 0.2× 48 1.2k
Xudong Li China 16 208 0.2× 310 0.5× 218 0.4× 88 0.2× 52 0.2× 62 818
Yanqin Bai China 23 998 1.1× 493 0.7× 973 1.6× 63 0.1× 259 0.9× 108 1.8k
Saman Babaie–Kafaki Iran 19 861 0.9× 466 0.7× 383 0.6× 35 0.1× 65 0.2× 96 1.1k
R. Hettich Germany 11 646 0.7× 171 0.3× 702 1.1× 53 0.1× 361 1.3× 23 1.1k

Countries citing papers authored by Jinbao Jian

Since Specialization
Citations

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

Fields of papers citing papers by Jinbao Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinbao Jian

This figure shows the co-authorship network connecting the top 25 collaborators of Jinbao Jian. A scholar is included among the top collaborators of Jinbao Jian 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 Jinbao Jian. Jinbao Jian 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.
Jian, Jinbao, Mingxia Wang, & Jianghua Yin. (2025). A hybrid acceleration Douglas-Rachford splitting method for solving large-scale absolute value equations. Optimization Letters. 20(1). 67–87.
2.
Zhang, Chen, Jinbao Jian, & Linfeng Yang. (2025). A two-stage distributionally robust CVaR-constrained framework and its approximations for self-scheduling microgrid. International Journal of Electrical Power & Energy Systems. 168. 110653–110653. 2 indexed citations
3.
Ong, Pauline, et al.. (2024). Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 324. 125001–125001. 1 indexed citations
4.
Li, Wei, Linfeng Yang, & Jinbao Jian. (2024). Household Appliance Non-Intrusive Load Monitoring Using Alternating Direction Method of Multipliers Based on Relaxation Distance and Neighborhood Search. IEEE Transactions on Consumer Electronics. 70(4). 6409–6419. 1 indexed citations
5.
Jiang, Xianzhen, et al.. (2024). A family of spectral conjugate gradient methods with strong convergence and its applications in image restoration and machine learning. Journal of the Franklin Institute. 361(13). 107033–107033. 6 indexed citations
6.
Jian, Jinbao, et al.. (2024). An IDFPM-based algorithm without Lipschitz continuity to constrained nonlinear equations for sparse signal and blurred image restoration problems. Journal of Computational and Applied Mathematics. 456. 116234–116234. 1 indexed citations
7.
Jian, Jinbao, et al.. (2024). A Family of Inertial Three‐Term CGPMs for Large‐Scale Nonlinear Pseudo‐Monotone Equations With Convex Constraints. Numerical Linear Algebra with Applications. 32(1). 3 indexed citations
8.
Yang, Linfeng, et al.. (2024). Fully distributed convex hull pricing based on alternating direction method of multipliers. Computers & Operations Research. 173. 106823–106823. 2 indexed citations
9.
Lu, Y. P., et al.. (2024). An efficient regularized PR splitting type algorithm for two-block nonconvex linear constrained programs in ℓ1/2 regularized compressed sensing problems. Journal of Computational and Applied Mathematics. 453. 116145–116145. 1 indexed citations
10.
11.
Jian, Jinbao, et al.. (2014). A QP-free algorithm of quasi-strongly sub-feasible directions for inequality constrained optimization. Journal of Industrial and Management Optimization. 11(1). 307–328. 1 indexed citations
12.
Jian, Jinbao, et al.. (2014). A new superlinearly convergent algorithm of combining QP subproblem with system of linear equations for nonlinear optimization. Journal of Computational and Applied Mathematics. 273. 88–102. 3 indexed citations
13.
Jian, Jinbao, et al.. (2014). A hybrid conjugate gradient method with descent property for unconstrained optimization. Applied Mathematical Modelling. 39(3-4). 1281–1290. 61 indexed citations
14.
Jian, Jinbao. (2010). Solution of Large Scale Unit Commitment by Second-order Cone Programming. Proceedings of the CSEE. 5 indexed citations
15.
Jian, Jinbao, et al.. (2009). A feasible QP-free algorithm combining the interior-point method with active set for constrained optimization. Computers & Mathematics with Applications. 58(8). 1520–1533. 5 indexed citations
16.
Jian, Jinbao & Chunming Tang. (2005). An SQP feasible descent algorithm for nonlinear inequality constrained optimization without strict complementarity. Computers & Mathematics with Applications. 49(2-3). 223–238. 14 indexed citations
17.
Jian, Jinbao, et al.. (2004). Finitely Convergent Algorithms of Generalized Gradient Projection for Systems of Nonlinear Inequalities.. 12. 207–218. 3 indexed citations
18.
Jian, Jinbao. (2003). Incorrect Results for E-Convex Functions and E-Convex Programming. Journal of Mathematical Research and Exposition. 1 indexed citations
19.
Jian, Jinbao. (1997). A Combined Feasible-Nonfeasible Point Continuation Algorithm for Monotone Variational Inequalities. 2 indexed citations
20.
Jian, Jinbao. (1994). A Superlinearly Convergent Combined PhaseI-PhaseII Subfeasible Method. 1 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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