Shu Liu
Impact in
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- Multi-Criteria Decision Making
- Water Science and Technology top 10%
- Minerals Flotation and Separation Techniques
Papers in
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- Cryptography and Data Security 2
- Computational Physics and Python Applications 1
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- Blockchain Technology Applications and Security 2
- Co-authors
- Feng Shan (1 shared paper)Deng‐Feng Li (1 shared paper)Yongchun Wang (1 shared paper)Takahiko Yoshimoto (1 shared paper)Yoshio Makino (1 shared paper)Saneyuki Kawabata (1 shared paper)Seiichi Oshita (1 shared paper)Kaiwen Li (1 shared paper)
- Journals
- SIAM Journal on Numerical Analysis (1 paper)BMC Bioinformatics (1 paper)Journal of Dynamics and Differential Equations (1 paper)Applied Network Science (1 paper)Test (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shu Liu
18 papers receiving 394 citations
Peers
Comparison fields: 5 of 92
- Management Science and Operations Research 141
- Water Science and Technology 140
- Statistics and Probability 62
- Geochemistry and Petrology 23
- Control and Systems Engineering 72
Countries citing papers authored by Shu Liu
This map shows the geographic impact of Shu Liu'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 Shu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Liu more than expected).
Fields of papers citing papers by Shu Liu
This network shows the impact of papers produced by Shu Liu. 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 Shu Liu. The network helps show where Shu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu Liu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 186 | |
| 2 | 2008 | 152 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2020 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2022 | 0 |
About Shu Liu
Shu Liu is a scholar working on Artificial Intelligence, Information Systems, Applied Mathematics, Electrical and Electronic Engineering and Statistics and Probability, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (3 papers), Blockchain Technology Applications and Security (2 papers), Cryptography and Data Security (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Electricity Theft Detection Techniques (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (141 citations), Water Science and Technology (140 citations), Statistics and Probability (62 citations), Geochemistry and Petrology (23 citations) and Control and Systems Engineering (72 citations). Shu Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Shan, Deng‐Feng Li, Yongchun Wang, Takahiko Yoshimoto, Yoshio Makino, Saneyuki Kawabata, Seiichi Oshita, Kaiwen Li, Zuhe Li and Haomin Zhou. Their work appears in journals such as SIAM Journal on Numerical Analysis, BMC Bioinformatics, Journal of Dynamics and Differential Equations, Applied Network Science and Test.
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.