Pinyan Lu
Impact in
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
-
- Limits and Structures in Graph Theory
Papers in
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- Complexity and Algorithms in Graphs 30
- Advanced Graph Theory Research 22
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- Markov Chains and Monte Carlo Methods 34
- Co-authors
- Jin‐Yi Cai (25 shared papers)Mingji Xia (13 shared papers)Nick Gravin (7 shared papers)Ning Chen (5 shared papers)Yitong Yin (3 shared papers)Liang Li (3 shared papers)Sangxia Huang (4 shared papers)Xi Chen (3 shared papers)
- Journals
- SIAM Journal on Computing (9 papers)Computational Complexity (3 papers)Journal of Computer and System Sciences (3 papers)Algorithmica (2 papers)Theoretical Computer Science (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pinyan Lu
77 papers receiving 892 citations
Peers
Comparison fields: 5 of 63
- Statistics and Probability 400
- Discrete Mathematics and Combinatorics 110
- Computational Theory and Mathematics 428
- Computational Mathematics 14
- Management Science and Operations Research 266
Countries citing papers authored by Pinyan Lu
This map shows the geographic impact of Pinyan Lu'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 Pinyan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinyan Lu more than expected).
Fields of papers citing papers by Pinyan Lu
This network shows the impact of papers produced by Pinyan Lu. 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 Pinyan Lu. The network helps show where Pinyan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinyan Lu, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 78 | |
| 2 | 2011 | 55 | |
| 3 | 2009 | 47 | |
| 4 | 2012 | 35 | |
| 5 | Correlation decay up to uniqueness in spin systems | 2013 | 33 |
| 6 | 2011 | 33 | |
| 7 | 2013 | 32 | |
| 8 | 2008 | 31 | |
| 9 | 2013 | 30 | |
| 10 | 2007 | 28 | |
| 11 | 2013 | 27 | |
| 12 | 2012 | 21 | |
| 13 | 2011 | 21 | |
| 14 | 2010 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2014 | 18 | |
| 18 | Approximate counting via correlation decay in spin systems | 2012 | 17 |
| 19 | 2015 | 17 | |
| 20 | 2006 | 16 |
About Pinyan Lu
Pinyan Lu is a scholar working on Computational Theory and Mathematics, Statistics and Probability, Management Science and Operations Research, Marketing and Artificial Intelligence, having authored 82 papers that have together received 941 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (34 papers), Complexity and Algorithms in Graphs (30 papers), Auction Theory and Applications (25 papers), Advanced Graph Theory Research (22 papers), Consumer Market Behavior and Pricing (17 papers), Game Theory and Voting Systems (10 papers), Optimization and Search Problems (9 papers) and Limits and Structures in Graph Theory (7 papers). The work is most often cited by research in Statistics and Probability (400 citations), Discrete Mathematics and Combinatorics (110 citations), Computational Theory and Mathematics (428 citations), Computational Mathematics (14 citations) and Management Science and Operations Research (266 citations). Pinyan Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jin‐Yi Cai, Mingji Xia, Nick Gravin, Ning Chen, Yitong Yin, Liang Li, Sangxia Huang, Xi Chen, Yajun Wang and Heng Guo. Their work appears in journals such as SIAM Journal on Computing, Computational Complexity, Journal of Computer and System Sciences, Algorithmica and Theoretical Computer Science.
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.