Guanghui Lan
Impact in
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
- Computational Mechanics top 0.2%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Stochastic Gradient Optimization Techniques 43
-
- Sparse and Compressive Sensing Techniques 41
- Co-authors
- Saeed Ghadimi (6 shared papers)Alexander Shapiro (4 shared papers)Arkadi Nemirovski (2 shared papers)Anatoli Juditsky (2 shared papers)Yuyuan Ouyang (6 shared papers)Yunmei Chen (5 shared papers)Renato D. C. Monteiro (4 shared papers)Hongchao Zhang (2 shared papers)
- Journals
- Mathematical Programming (23 papers)SIAM Journal on Optimization (16 papers)Computational Optimization and Applications (4 papers)Operations Research Letters (2 papers)Journal of Reconstructive Microsurgery (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Guanghui Lan
74 papers receiving 3.9k citations
Guanghui Lan's Hit Papers
Peers
Comparison fields: 5 of 137
- Numerical Analysis 871
- Computational Mechanics 2.0k
- Artificial Intelligence 2.5k
- Computational Mathematics 41
- Management Science and Operations Research 796
Countries citing papers authored by Guanghui Lan
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
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-authors
The 25 scholars most cited alongside Guanghui Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust Stochastic Approximation Approach to Stochastic Programming Hit paper breakdown → | 2009 | 1010 |
| 2 | Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming Hit paper breakdown → | 2013 | 493 |
| 3 | Accelerated gradient methods for nonconvex nonlinear and stochastic programming Hit paper breakdown → | 2015 | 242 |
| 4 | 2010 | 210 | |
| 5 | 2014 | 193 | |
| 6 | 2021 | 145 | |
| 7 | 2020 | 142 | |
| 8 | 2012 | 136 | |
| 9 | 2015 | 129 | |
| 10 | 2014 | 109 | |
| 11 | 2005 | 109 | |
| 12 | 2009 | 96 | |
| 13 | 2018 | 85 | |
| 14 | 2013 | 84 | |
| 15 | 2011 | 59 | |
| 16 | 2015 | 59 | |
| 17 | 2016 | 58 | |
| 18 | 2020 | 47 | |
| 19 | 2013 | 46 | |
| 20 | 2017 | 45 |
About Guanghui Lan
Guanghui Lan is a scholar working on Artificial Intelligence, Computational Mechanics, Numerical Analysis, Management Science and Operations Research and Computational Theory and Mathematics, having authored 78 papers that have together received 4.1k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (43 papers), Sparse and Compressive Sensing Techniques (41 papers), Advanced Optimization Algorithms Research (25 papers), Risk and Portfolio Optimization (14 papers), Optimization and Variational Analysis (7 papers), Advanced Bandit Algorithms Research (6 papers), Markov Chains and Monte Carlo Methods (5 papers) and Distributed Control Multi-Agent Systems (5 papers). The work is most often cited by research in Numerical Analysis (871 citations), Computational Mechanics (2.0k citations), Artificial Intelligence (2.5k citations), Computational Mathematics (41 citations) and Management Science and Operations Research (796 citations). Guanghui Lan has collaborated with scholars based in United States, China and France. Frequent 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. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, Computational Optimization and Applications, Operations Research Letters and Journal of Reconstructive Microsurgery.
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.