Li‐Zhi Liao

3.5k total citations
88 papers, 2.6k citations indexed

About

Li‐Zhi Liao is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Li‐Zhi Liao has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computational Theory and Mathematics, 46 papers in Numerical Analysis and 18 papers in Control and Systems Engineering. Recurrent topics in Li‐Zhi Liao's work include Advanced Optimization Algorithms Research (43 papers), Optimization and Variational Analysis (31 papers) and Matrix Theory and Algorithms (20 papers). Li‐Zhi Liao is often cited by papers focused on Advanced Optimization Algorithms Research (43 papers), Optimization and Variational Analysis (31 papers) and Matrix Theory and Algorithms (20 papers). Li‐Zhi Liao collaborates with scholars based in Hong Kong, China and United States. Li‐Zhi Liao's co-authors include Y. H. Dai, Bing He, Bingsheng He, Houduo Qi, Hai Yang, Deren Han, Liqun Qi, Christine A. Shoemaker, Michael K. Ng and Delin Chu and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

Li‐Zhi Liao

82 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Zhi Liao Hong Kong 25 1.1k 981 667 504 382 88 2.6k
Ya-xiang Yuan China 28 2.1k 2.0× 1.5k 1.5× 1.2k 1.8× 597 1.2× 447 1.2× 89 3.8k
Dominique Orban Canada 16 1.2k 1.1× 1.0k 1.1× 538 0.8× 300 0.6× 388 1.0× 73 2.4k
Stephen A. Vavasis United States 29 584 0.5× 1.0k 1.0× 710 1.1× 392 0.8× 207 0.5× 72 2.8k
Marcos Raydan Venezuela 22 2.0k 1.9× 1.5k 1.5× 1.3k 2.0× 384 0.8× 239 0.6× 80 3.3k
James V. Burke United States 34 1.8k 1.7× 2.0k 2.0× 812 1.2× 334 0.7× 964 2.5× 90 3.5k
Henry Wolkowicz Canada 35 2.5k 2.3× 2.8k 2.8× 1.2k 1.8× 469 0.9× 636 1.7× 126 5.1k
Kyle A. Gallivan United States 32 776 0.7× 713 0.7× 631 0.9× 476 0.9× 421 1.1× 147 3.5k
Allan Pinkus Israel 23 993 0.9× 652 0.7× 745 1.1× 767 1.5× 355 0.9× 95 3.6k
Hongchao Zhang United States 22 2.1k 1.9× 1.3k 1.3× 1.6k 2.4× 581 1.2× 276 0.7× 61 3.5k
Erich Novak Germany 22 1.2k 1.1× 713 0.7× 482 0.7× 270 0.5× 79 0.2× 84 2.5k

Countries citing papers authored by Li‐Zhi Liao

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Zhi Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Zhi Liao. 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 Li‐Zhi Liao. The network helps show where Li‐Zhi Liao may publish in the future.

Co-authorship network of co-authors of Li‐Zhi Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Zhi Liao. A scholar is included among the top collaborators of Li‐Zhi Liao 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 Li‐Zhi Liao. Li‐Zhi Liao 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.
Liao, Li‐Zhi, et al.. (2024). Evaluating the influence of Nano-GO concrete pavement mechanical properties on road performance and traffic safety using ANN-GA and PSO techniques. Environmental Research. 262(Pt 2). 119884–119884. 2 indexed citations
2.
Gao, Xingbao & Li‐Zhi Liao. (2023). Novel Continuous- and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9814–9828. 1 indexed citations
3.
Liao, Li‐Zhi, et al.. (2019). Dynamics of a space-time crystal in an atomic Bose-Einstein condensate. Physical review. A. 99(1). 15 indexed citations
4.
Liao, Li‐Zhi, et al.. (2018). Observation of a Space-Time Crystal in a Superfluid Quantum Gas. Physical Review Letters. 121(18). 185301–185301. 109 indexed citations
5.
Sun, Jie, Li‐Zhi Liao, & Brian Rodrigues. (2017). Quadratic two-stage stochastic optimization with coherent measures of risk. Mathematical Programming. 168(1-2). 599–613. 10 indexed citations
6.
Zhang, Xiaowei, Cheng Li, Delin Chu, et al.. (2016). Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data. SIAM Journal on Scientific Computing. 38(3). B414–B439. 7 indexed citations
7.
Chu, Delin, Li‐Zhi Liao, Michael K. Ng, & Xiaowei Zhang. (2013). Sparse Kernel Canonical Correlation Analysis. National University of Singapore. 322–327. 15 indexed citations
8.
Kelley, C. T. & Li‐Zhi Liao. (2013). Explicit pseudo-transient continuation. HKBU Institutional Repository (Hong Kong Baptist University). 9(1). 77–91. 8 indexed citations
9.
Liao, Li‐Zhi. (2013). A Study of the Dual Affine Scaling Continuous Trajectories for Linear Programming. Journal of Optimization Theory and Applications. 163(2). 548–568. 5 indexed citations
10.
Liao, Li‐Zhi, et al.. (2010). A New One-Layer Neural Network for Linear and Quadratic Programming. IEEE Transactions on Neural Networks. 21(6). 918–929. 47 indexed citations
11.
Ng, Michael K., Li‐Zhi Liao, & Lei‐Hong Zhang. (2010). On sparse linear discriminant analysis algorithm for high‐dimensional data classification. Numerical Linear Algebra with Applications. 18(2). 223–235. 12 indexed citations
12.
Wang, Xiang, Bingsheng He, & Li‐Zhi Liao. (2009). Steplengths in the extragradient type methods. Journal of Computational and Applied Mathematics. 233(11). 2925–2939. 2 indexed citations
13.
Kelley, C. T., et al.. (2008). A continuous Newton-type method for unconstrained optimization. 4(2). 259–277. 12 indexed citations
14.
He, Bing, Li‐Zhi Liao, & Yuan Xiao. (2006). LQP based interior prediction-correction method for nonlinear complementarity problems. Journal of Computational Mathematics. 24(1). 33–44. 20 indexed citations
15.
He, Bing, et al.. (2006). Alternating projection based prediction-correction methods for structured variational inequalities. Journal of Computational Mathematics. 24(6). 693–710. 19 indexed citations
16.
Gao, Xing, Li‐Zhi Liao, & Liqun Qi. (2005). A Novel Neural Network for Variational Inequalities With Linear and Nonlinear Constraints. IEEE Transactions on Neural Networks. 16(6). 1305–1317. 50 indexed citations
17.
Liao, Li‐Zhi & Shengli Wang. (2002). A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities. Computers & Mathematics with Applications. 43(1-2). 41–48. 4 indexed citations
18.
Liao, Li‐Zhi, Houduo Qi, & Liqun Qi. (2001). Solving nonlinear complementarity problems with neural networks: a reformulation method approach. Journal of Computational and Applied Mathematics. 131(1-2). 343–359. 48 indexed citations
19.
Qi, Houduo, et al.. (1999). Regularized Smoothing Approximations to Vertical Nonlinear Complementarity Problems. Journal of Mathematical Analysis and Applications. 230(1). 261–276. 11 indexed citations
20.
Shoemaker, Christine A., Liang‐Cheng Chang, Li‐Zhi Liao, & Philip L.‐F. Liu. (1989). Supercomputers and Optimal Control of Groundwater Quality. 129–132. 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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