Jianping Liu
Impact in
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
- Geometry and Topology top 10%
- Graph theory and applications
Papers in
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- Machine Learning and ELM 5
- Neural Networks and Applications 3
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- Graph theory and applications 6
- Co-authors
- Peifeng Niu (4 shared papers)Xia Li (2 shared papers)Bo Liu (4 shared papers)Limeng Wu (2 shared papers)Xia Li (1 shared paper)Jinsong Chen (1 shared paper)Guoqiang Li (1 shared paper)Zhongqi Tan (1 shared paper)
In The Last Decade
Jianping Liu
20 papers receiving 212 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 37
- Geometry and Topology 50
- Numerical Analysis 30
- Discrete Mathematics and Combinatorics 14
- Energy Engineering and Power Technology 11
Countries citing papers authored by Jianping Liu
This map shows the geographic impact of Jianping 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 Jianping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianping Liu more than expected).
Fields of papers citing papers by Jianping Liu
This network shows the impact of papers produced by Jianping 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 Jianping Liu. The network helps show where Jianping Liu may publish in the future.
Co-authors
The 20 scholars most cited alongside Jianping 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 | 2018 | 92 | |
| 2 | 2016 | 21 | |
| 3 | 2008 | 21 | |
| 4 | 2016 | 18 | |
| 5 | 2018 | 17 | |
| 6 | 2021 | 10 | |
| 7 | 2009 | 7 | |
| 8 | 2017 | 6 | |
| 9 | 2014 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2018 | 3 | |
| 12 | The Data Picking Applied in the Research of Traditional Chinese Medicine | 2008 | 2 |
| 13 | 2012 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2009 | 2 | |
| 16 | Exploration on Sudden Incidents in College and Means of Prevention and Cure | 2005 | 1 |
| 17 | 2019 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2008 | 1 |
About Jianping Liu
Jianping Liu is a scholar working on Artificial Intelligence, Geometry and Topology, Computational Theory and Mathematics, Organic Chemistry and Numerical Analysis, having authored 21 papers that have together received 216 indexed citations. Recurring topics across this work include Graph theory and applications (6 papers), Machine Learning and ELM (5 papers), Advanced Algorithms and Applications (3 papers), Neural Networks and Applications (3 papers), Graph Labeling and Dimension Problems (3 papers), Iterative Methods for Nonlinear Equations (3 papers), Fractional Differential Equations Solutions (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Modeling and Simulation (37 citations), Geometry and Topology (50 citations), Numerical Analysis (30 citations), Discrete Mathematics and Combinatorics (14 citations) and Energy Engineering and Power Technology (11 citations). Jianping Liu has collaborated with scholars based in China and Spain. Frequent co-authors include Peifeng Niu, Xia Li, Bo Liu, Limeng Wu, Xia Li, Jinsong Chen, Xia Li, Guoqiang Li, Zhongqi Tan and Hui Luo. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Journal of Aerospace Engineering, IEEE Access, Abstract and Applied Analysis and Journal of Physics D Applied Physics.
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.