Liupu Wang
Impact in
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- Social Media in Health Education
Papers in
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- Metaheuristic Optimization Algorithms Research 3
- Anomaly Detection Techniques and Applications 2
- Advanced Clustering Algorithms Research 1
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- Vehicle Routing Optimization Methods 3
- Advanced Manufacturing and Logistics Optimization 2
- Co-authors
- Yanchun Liang (7 shared papers)Juexin Wang (2 shared papers)Michael Wang (2 shared papers)Dong Xu (2 shared papers)Yong Li (1 shared paper)Xiaohu Shi (4 shared papers)Renchu Guan (2 shared papers)You Zhou (10 shared papers)
- Journals
- Expert Systems with Applications (2 papers)Journal of Medical Internet Research (1 paper)Artificial Intelligence in Medicine (1 paper)Journal of Biomedical Informatics (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Liupu Wang
12 papers receiving 274 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 6
- Health 26
- General Health Professions 67
- Artificial Intelligence 80
- Cancer Research 18
Countries citing papers authored by Liupu Wang
This map shows the geographic impact of Liupu Wang'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 Liupu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liupu Wang more than expected).
Fields of papers citing papers by Liupu Wang
This network shows the impact of papers produced by Liupu Wang. 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 Liupu Wang. The network helps show where Liupu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liupu Wang, 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 | 2012 | 151 | |
| 2 | 2010 | 51 | |
| 3 | 2019 | 25 | |
| 4 | 2010 | 25 | |
| 5 | 2008 | 12 | |
| 6 | 2007 | 7 | |
| 7 | 2025 | 5 | |
| 8 | 2011 | 5 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Liupu Wang
Liupu Wang is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, General Health Professions, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 287 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Health Literacy and Information Accessibility (2 papers), Advanced Clustering Algorithms Research (1 paper), Mobile Health and mHealth Applications (1 paper) and Human-Automation Interaction and Safety (1 paper). The work is most often cited by research in Health Informatics (6 citations), Health (26 citations), General Health Professions (67 citations), Artificial Intelligence (80 citations) and Cancer Research (18 citations). Liupu Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yanchun Liang, Juexin Wang, Michael Wang, Dong Xu, Yong Li, Xiaohu Shi, Renchu Guan, You Zhou, Yanwen Li and Haijun Li. Their work appears in journals such as Expert Systems with Applications, Journal of Medical Internet Research, Artificial Intelligence in Medicine, Journal of Biomedical Informatics and Applied Sciences.
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.