Pinyan Lu
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods 31
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- Limits and Structures in Graph Theory 7
- Computational Mathematics top 10%
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- Complexity and Algorithms in Graphs 28
- Advanced Graph Theory Research 21
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- Auction Theory and Applications 25
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- Consumer Market Behavior and Pricing 17
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- Game Theory and Voting Systems 10
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- Optimization and Search Problems 9
- Journals
- SIAM Journal on Computing (9 papers)Journal of Computer and System Sciences (3 papers)Computational Complexity (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pinyan Lu
73 papers receiving 791 citations
Peers
Comparison fields: 5 of 63
- Statistics and Probability 331
- Discrete Mathematics and Combinatorics 93
- Computational Mathematics 14
- Computational Theory and Mathematics 371
- Management Science and Operations Research 258
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 0 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 10 | |
| 11 | 2016 | 2 | |
| 12 | 2014 | 5 | |
| 13 | Dichotomy for Holant* Problems with Domain Size 3. | 2013 | 6 |
| 14 | 2013 | 27 | |
| 15 | 2011 | 55 | |
| 16 | Complexity Dichotomies of Counting Problems. | 2011 | 3 |
| 17 | 2011 | 13 | |
| 18 | 2010 | 0 | |
| 19 | Holographic algorithms with unsymmetric signatures | 2008 | 3 |
| 20 | 2008 | 29 |
About Pinyan Lu
Pinyan Lu is a scholar working on Statistics and Probability, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Management Science and Operations Research and Marketing, having authored 78 papers that have together received 835 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (31 papers), Complexity and Algorithms in Graphs (28 papers), Auction Theory and Applications (25 papers), Advanced Graph Theory Research (21 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 (331 citations), Discrete Mathematics and Combinatorics (93 citations), Computational Mathematics (14 citations), Computational Theory and Mathematics (371 citations) and Management Science and Operations Research (258 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, Sangxia Huang, Xi Chen, Zeyuan Allen Zhu, Xiaorui Sun, Heng Guo and Yajun Wang. Their work appears in journals such as SIAM Journal on Computing, Journal of Computer and System Sciences, Computational Complexity, 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.