Shengxin Liu
- Animal Science and Zoology top 5%
- Artificial Intelligence top 10%
- Algorithms and Data Compression 2
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- Quantum and electron transport phenomena 2
- Quantum many-body systems 2
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- Auction Theory and Applications 4
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- Game Theory and Voting Systems 7
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- Data Management and Algorithms 4
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- Geographic Information Systems Studies 2
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- Data Mining Algorithms and Applications 2
Shengxin Liu
22 papers receiving 327 citations
Peers
Comparison fields: 5 of 61
- Animal Science and Zoology 109
- Infectious Diseases 105
- Artificial Intelligence 114
- Atomic and Molecular Physics, and Optics 76
- Management Science and Operations Research 26
Countries citing papers authored by Shengxin Liu
This map shows the geographic impact of Shengxin 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 Shengxin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengxin Liu more than expected).
Fields of papers citing papers by Shengxin Liu
This network shows the impact of papers produced by Shengxin 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 Shengxin Liu. The network helps show where Shengxin Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shengxin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 20 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 4 | |
| 18 | 2016 | 29 | |
| 19 | 2011 | 2 | |
| 20 | 2006 | 111 |
About Shengxin Liu
Shengxin Liu is a scholar working on Signal Processing, Geography, Planning and Development, Management Science and Operations Research, Economics and Econometrics and Computational Theory and Mathematics, having authored 29 papers that have together received 338 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (7 papers), Auction Theory and Applications (4 papers), Data Management and Algorithms (4 papers), Quantum and electron transport phenomena (2 papers), Geographic Information Systems Studies (2 papers), Data Mining Algorithms and Applications (2 papers), Quantum many-body systems (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Animal Science and Zoology (109 citations), Infectious Diseases (105 citations), Artificial Intelligence (114 citations), Atomic and Molecular Physics, and Optics (76 citations) and Management Science and Operations Research (26 citations). Shengxin Liu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Xiang-Mu Kong, Zifeng Han, Li Feng, Guangzhi Tong, Xiangang Kong, Yao Shao, Xiaohui Bei, Cheng Long, Chung Keung Poon and Da Yan. Their work appears in journals such as Physical Review A, Journal of Petroleum Science and Engineering, IET Radar Sonar & Navigation, Journal of Artificial Intelligence Research and Autonomous Agents and Multi-Agent Systems.
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.