Lan Shu
Impact in
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- Multi-Criteria Decision Making
- Fuzzy and Soft Set Theory
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- Rough Sets and Fuzzy Logic
Papers in
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- Rough Sets and Fuzzy Logic 26
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- Quantum Computing Algorithms and Architecture 8
- Quantum Information and Cryptography 8
- Co-authors
- Haidong Zhang (9 shared papers)Shouming Zhong (9 shared papers)Dong Qiu (9 shared papers)Xin Wang (4 shared papers)Xuehua Li (5 shared papers)Zhiwen Mo (9 shared papers)Xiu Liu (4 shared papers)Jing Jiang (2 shared papers)
- Journals
- Fuzzy Sets and Systems (6 papers)Soft Computing (5 papers)International Journal of Fuzzy Systems (4 papers)Information Sciences (3 papers)Journal of the Franklin Institute (3 papers)
- Partner nations
- ChinaNew ZealandRussia
In The Last Decade
Lan Shu
90 papers receiving 958 citations
Peers
Comparison fields: 5 of 91
- Management Science and Operations Research 322
- Computational Theory and Mathematics 288
- Statistics and Probability 78
- Computer Networks and Communications 207
- Artificial Intelligence 226
Countries citing papers authored by Lan Shu
This map shows the geographic impact of Lan Shu'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 Lan Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Shu more than expected).
Fields of papers citing papers by Lan Shu
This network shows the impact of papers produced by Lan Shu. 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 Lan Shu. The network helps show where Lan Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Shu, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2011 | 43 | |
| 3 | 2014 | 43 | |
| 4 | 2015 | 40 | |
| 5 | 2016 | 40 | |
| 6 | 2008 | 38 | |
| 7 | 2023 | 37 | |
| 8 | 2018 | 35 | |
| 9 | 2015 | 32 | |
| 10 | 2022 | 32 | |
| 11 | 2015 | 31 | |
| 12 | 2015 | 31 | |
| 13 | 2014 | 28 | |
| 14 | 2014 | 24 | |
| 15 | 2014 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2008 | 21 | |
| 18 | 2012 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2018 | 16 |
About Lan Shu
Lan Shu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications and Control and Systems Engineering, having authored 99 papers that have together received 986 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (26 papers), Multi-Criteria Decision Making (15 papers), Neural Networks Stability and Synchronization (15 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Distributed Control Multi-Agent Systems (8 papers), Quantum Mechanics and Applications (8 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum Information and Cryptography (8 papers). The work is most often cited by research in Management Science and Operations Research (322 citations), Computational Theory and Mathematics (288 citations), Statistics and Probability (78 citations), Computer Networks and Communications (207 citations) and Artificial Intelligence (226 citations). Lan Shu has collaborated with scholars based in China, New Zealand and Russia. Frequent co-authors include Haidong Zhang, Shouming Zhong, Dong Qiu, Xin Wang, Xuehua Li, Zhiwen Mo, Xiu Liu, Jing Jiang, Guimin Huang and Yao Zhang. Their work appears in journals such as Fuzzy Sets and Systems, Soft Computing, International Journal of Fuzzy Systems, Information Sciences and Journal of the Franklin Institute.
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.