Shu Lü

499 total citations
38 papers, 352 citations indexed

About

Shu Lü is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Shu Lü has authored 38 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 9 papers in Computer Networks and Communications and 9 papers in Control and Systems Engineering. Recurrent topics in Shu Lü's work include Optimization and Variational Analysis (9 papers), Neural Networks Stability and Synchronization (9 papers) and Risk and Portfolio Optimization (6 papers). Shu Lü is often cited by papers focused on Optimization and Variational Analysis (9 papers), Neural Networks Stability and Synchronization (9 papers) and Risk and Portfolio Optimization (6 papers). Shu Lü collaborates with scholars based in United States, China and Japan. Shu Lü's co-authors include Stephen M. Robinson, Yu Nie, Amarjit Budhiraja, Mao Ye, Zixin Liu, Shouming Zhong, Yufeng Liu, Liang Yin, Xuegang Ban and Michael C. Ferris and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Neurocomputing.

In The Last Decade

Shu Lü

35 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Lü United States 12 116 115 111 70 58 38 352
Bruce Calvert New Zealand 10 104 0.9× 41 0.4× 62 0.6× 44 0.6× 33 0.6× 41 418
Jayash Koshal United States 6 146 1.3× 13 0.1× 99 0.9× 33 0.5× 156 2.7× 8 515
Jean-Bernard Baillon France 13 529 4.6× 45 0.4× 83 0.7× 270 3.9× 21 0.4× 28 742
А. В. Дмитрук Russia 14 374 3.2× 55 0.5× 143 1.3× 146 2.1× 24 0.4× 51 712
Takashi Maeda Japan 8 192 1.7× 10 0.1× 94 0.8× 128 1.8× 162 2.8× 11 347
S. Sadiq Basha India 17 309 2.7× 14 0.1× 19 0.2× 39 0.6× 64 1.1× 35 971
Quan Shi China 10 153 1.3× 76 0.7× 62 0.6× 60 0.9× 17 0.3× 36 337
Khai T. Nguyen United States 11 66 0.6× 17 0.1× 54 0.5× 21 0.3× 38 0.7× 56 363
Xiantao Xiao China 10 124 1.1× 14 0.1× 56 0.5× 125 1.8× 46 0.8× 37 266
T.-H. Shiau United States 6 197 1.7× 10 0.1× 55 0.5× 156 2.2× 47 0.8× 10 350

Countries citing papers authored by Shu Lü

Since Specialization
Citations

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

Fields of papers citing papers by Shu Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Lü. A scholar is included among the top collaborators of Shu Lü 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 Shu Lü. Shu Lü 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.
Lü, Shu. (2024). Confidence Intervals for Piecewise Normal Distributions and Stochastic Variational Inequalities. Mathematics of Operations Research. 50(2). 1333–1363. 1 indexed citations
2.
Wang, Jingxing, Shu Lü, Hongsheng Liu, & Xuegang Ban. (2022). Transportation Origin-Destination Demand Estimation with Quasi-Sparsity. Transportation Science. 57(2). 289–312. 6 indexed citations
3.
Guan, Yu, Liang Yin, Shu Lü, & Yufeng Liu. (2019). Confidence Intervals for Sparse Penalized Regression With Random Designs. Journal of the American Statistical Association. 115(530). 794–809. 4 indexed citations
4.
Lü, Shu, Yufeng Liu, Liang Yin, & Kai Zhang. (2016). Confidence Intervals and Regions for the Lasso by Using Stochastic Variational Inequality Techniques in Optimization. Journal of the Royal Statistical Society Series B (Statistical Methodology). 79(2). 589–611. 18 indexed citations
5.
Lü, Shu, et al.. (2016). Individual confidence intervals for solutions to expected value formulations of stochastic variational inequalities. Mathematical Programming. 165(1). 151–196. 13 indexed citations
6.
Lü, Shu. (2014). Symmetric Confidence Regions and Confidence Intervals for Normal Map Formulations of Stochastic Variational Inequalities. SIAM Journal on Optimization. 24(3). 1458–1484. 11 indexed citations
7.
Liu, Zixin, Shu Lü, Shouming Zhong, & Mao Ye. (2010). Stabilization analysis for discrete-time systems with time delay. Applied Mathematics and Computation. 216(7). 2024–2035. 14 indexed citations
8.
Liu, Zixin, Shu Lü, Shouming Zhong, & Mao Ye. (2009). Improved exponential stability criteria for discrete-time neural networks with time-varying delay. Neurocomputing. 73(4-6). 975–985. 11 indexed citations
9.
Liu, Zixin, Shu Lü, Shouming Zhong, & Mao Ye. (2009). Advanced Gronwall-Bellman-Type Integral Inequalities And Their Applications. Zenodo (CERN European Organization for Nuclear Research).
10.
Lü, Shu & Yu Nie. (2009). Stability of user-equilibrium route flow solutions for the traffic assignment problem. Transportation Research Part B Methodological. 44(4). 609–617. 50 indexed citations
11.
Liu, Zixin, Shu Lü, Shouming Zhong, & Mao Ye. (2009). Pth Moment Exponential Synchronization Of A Class Of Chaotic Neural Networks With Mixed Delays. Zenodo (CERN European Organization for Nuclear Research). 3(9). 715–720. 1 indexed citations
12.
Lü, Shu. (2009). Implications of the constant rank constraint qualification. Mathematical Programming. 126(2). 365–392. 23 indexed citations
13.
Lü, Shu. (2008). Sensitivity of Static Traffic User Equilibria with Perturbations in Arc Cost Function and Travel Demand. Transportation Science. 42(1). 105–123. 33 indexed citations
14.
Liu, Zixin, Shu Lü, & Shouming Zhong. (2008). A New Delayed Projection Neural Network for Solving Linear Variational Inequalities and Quadratic Optimization Problems. i and ii. 211–214. 1 indexed citations
15.
Robinson, Stephen M. & Shu Lü. (2007). Solution continuity in variational conditions. Journal of Global Optimization. 40(1-3). 405–415. 16 indexed citations
16.
Yang, Helin, Wu Liu, & Shu Lü. (2002). EM scattering by rectangular conducting flat plates with thin uniaxial anisotropic materials. 26. 213–216. 1 indexed citations
17.
Lü, Shu, et al.. (2000). A study on composite scattering of targets and environment. 34. 53–56. 1 indexed citations
18.
Zhang, Changjiang, et al.. (1999). The optimizing research about radar absorbent material parameters. Wuhan University Journal of Natural Sciences. 4(4). 445–448. 1 indexed citations
19.
Ai, Yong, Mamoru Ishii, Minoru Kubota, et al.. (1998). Airglow observation by Fabry-Perot interferometer. Wuhan University Journal of Natural Sciences. 3(2). 175–180. 1 indexed citations
20.
Chen, Jingyang, et al.. (1991). Vector wave function expansion for solving electromagnetic scattering by buried objects. Journal of Electronics (China). 8(3). 239–246. 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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