Guanghui Lan

9.0k total citations · 3 hit papers
78 papers, 4.0k citations indexed

About

Guanghui Lan is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Guanghui Lan has authored 78 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 41 papers in Computational Mechanics and 25 papers in Numerical Analysis. Recurrent topics in Guanghui Lan's work include Stochastic Gradient Optimization Techniques (43 papers), Sparse and Compressive Sensing Techniques (41 papers) and Advanced Optimization Algorithms Research (25 papers). Guanghui Lan is often cited by papers focused on Stochastic Gradient Optimization Techniques (43 papers), Sparse and Compressive Sensing Techniques (41 papers) and Advanced Optimization Algorithms Research (25 papers). Guanghui Lan collaborates with scholars based in United States, China and France. Guanghui Lan's co-authors include Saeed Ghadimi, Alexander Shapiro, Arkadi Nemirovski, Anatoli Juditsky, Yuyuan Ouyang, Yunmei Chen, Renato D. C. Monteiro, Hongchao Zhang, Yi Zhou and Gail W. DePuy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and European Journal of Operational Research.

In The Last Decade

Guanghui Lan

71 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust Stochastic Approximation Approach to Stochastic Programming

2009 999 citations Guanghui Lan, Alexander Shapiro et al. SIAM Journal on Optimization profile →
Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming

2013 481 citations Saeed Ghadimi, Guanghui Lan SIAM Journal on Optimization profile →
Accelerated gradient methods for nonconvex nonlinear and stochastic programming

2015 238 citations Saeed Ghadimi, Guanghui Lan Mathematical Programming profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guanghui Lan United States	28	2.5k	2.0k	852	782	654	78	4.0k
Katya Scheinberg United States	26	1.3k 0.5×	1.0k 0.5×	1.1k 1.3×	364 0.5×	1.1k 1.7×	55	3.5k
Hoai An Le Thi France	27	686 0.3×	1.0k 0.5×	1.3k 1.5×	396 0.5×	1.1k 1.7×	144	3.3k
Anatoli Juditsky France	23	2.4k 1.0×	1.2k 0.6×	353 0.4×	735 0.9×	404 0.6×	68	5.1k
Zhaosong Lu Canada	26	500 0.2×	1.1k 0.5×	481 0.6×	218 0.3×	369 0.6×	69	2.0k
Samuel Burer United States	26	545 0.2×	702 0.4×	1.3k 1.5×	210 0.3×	1.2k 1.9×	60	2.8k
Adil Bagirov Australia	28	875 0.4×	423 0.2×	669 0.8×	130 0.2×	726 1.1×	134	2.5k
Reha Tütüncü United States	18	312 0.1×	557 0.3×	837 1.0×	934 1.2×	828 1.3×	31	3.6k
Qing Ling China	30	2.0k 0.8×	1.3k 0.6×	149 0.2×	223 0.3×	263 0.4×	203	5.0k
P. Tseng United States	12	592 0.2×	712 0.4×	342 0.4×	74 0.1×	314 0.5×	15	2.3k
Constantine Caramanis United States	30	615 0.2×	678 0.3×	150 0.2×	1.0k 1.3×	367 0.6×	120	5.2k

Countries citing papers authored by Guanghui Lan

Since Specialization

Citations

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

Fields of papers citing papers by Guanghui Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghui Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Guanghui Lan. A scholar is included among the top collaborators of Guanghui Lan 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 Guanghui Lan. Guanghui Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lan, Guanghui, et al.. (2024). Level constrained first order methods for function constrained optimization. Mathematical Programming. 209(1-2). 1–61. 4 indexed citations

Gao, Ji, et al.. (2024). Reinforcement learning-based control for waste biorefining processes under uncertainty. SHILAP Revista de lepidopterología. 3(1). 5 indexed citations

Li, Xudong, et al.. (2024). Data-Driven Minimax Optimization with Expectation Constraints. Operations Research. 73(3). 1345–1365. 3 indexed citations

Lan, Guanghui & Alexander Shapiro. (2024). Numerical Methods for Convex Multistage Stochastic Optimization. 6(2). 63–144.

Lan, Guanghui, et al.. (2023). Block Policy Mirror Descent. SIAM Journal on Optimization. 33(3). 2341–2378.

Lan, Guanghui, et al.. (2023). Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation. SIAM Journal on Mathematics of Data Science. 5(1). 174–200. 1 indexed citations

Zhang, Bopeng, et al.. (2020). Backwash sequence optimization of a pilot-scale ultrafiltration membrane system using data-driven modeling for parameter forecasting. Journal of Membrane Science. 612. 118464–118464. 35 indexed citations

Lan, Guanghui & Zhiqiang Zhou. (2020). Algorithms for stochastic optimization with function or expectation constraints. Computational Optimization and Applications. 76(2). 461–498. 32 indexed citations

Ghadimi, Saeed, Guanghui Lan, & Hongchao Zhang. (2019). Generalized Uniformly Optimal Methods for Nonlinear Programming. Journal of Scientific Computing. 79(3). 1854–1881. 25 indexed citations

10.

Chen, Yunmei, et al.. (2019). Fast bundle-level methods for unconstrained and ball-constrained convex optimization. Computational Optimization and Applications. 73(1). 159–199. 2 indexed citations

11.

Lan, Guanghui, Zhize Li, & Yi Zhou. (2019). A unified variance-reduced accelerated gradient method for convex optimization. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 32. 10462–10472. 3 indexed citations

12.

Wang, Zhe, Yi Zhou, Yingbin Liang, & Guanghui Lan. (2018). Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization.. arXiv (Cornell University). 2 indexed citations

13.

Chen, Yunmei, Guanghui Lan, & Yuyuan Ouyang. (2017). Accelerated schemes for a class of variational inequalities. Mathematical Programming. 165(1). 113–149. 44 indexed citations

14.

Lan, Guanghui & Yi Zhou. (2017). An optimal randomized incremental gradient method. Mathematical Programming. 171(1-2). 167–215. 42 indexed citations

15.

Lan, Guanghui, et al.. (2017). Conditional Accelerated Lazy Stochastic Gradient Descent. International Conference on Machine Learning. 1965–1974. 1 indexed citations

16.

Lan, Guanghui, et al.. (2014). Randomized Methods for Saddle Point Computation. arXiv (Cornell University). 2 indexed citations

17.

Lan, Guanghui, et al.. (2014). A linearly convergent first-order algorithm for total variation minimisation in image processing. International Journal of Bioinformatics Research and Applications. 10(1). 4–4. 1 indexed citations

18.

Ghadimi, Saeed & Guanghui Lan. (2013). Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming. SIAM Journal on Optimization. 23(4). 2341–2368. 481 indexed citations breakdown →

19.

Iohom, Gabriella, et al.. (2005). Long-term evaluation of motor function following intraneural injection of ropivacaine using walking track analysis in rats. British Journal of Anaesthesia. 94(4). 524–529. 26 indexed citations

20.

Durand, Pierre–Yves, et al.. (2000). Evaluation of Low-Pressure Arterial and Venous Clamps: Electron Microscopic Study and Possible Clinical Applications. Journal of Reconstructive Microsurgery. 16(6). 465–472. 4 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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