Liping Wang
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Computational Theory and Mathematics top 10%
- Applied Mathematics top 5%
- Information Systems top 10%
- Co-authors
- Béchir JarrayaStanislas DehaeneLynn UhrigJuncheng WeiChuang LiHarald NiederreiterXuemin LinQing Li
- Topics
- Nonlinear Partial Differential Equations (8 papers)ECG Monitoring and Analysis (6 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesCurrent BiologyJournal of Cleaner Production
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liping Wang
73 papers receiving 589 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 147
- Cognitive Neuroscience 145
- Computational Theory and Mathematics 71
- Applied Mathematics 68
- Information Systems 52
Countries citing papers authored by Liping Wang
This map shows the geographic impact of Liping 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 Liping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liping Wang more than expected).
Fields of papers citing papers by Liping Wang
This network shows the impact of papers produced by Liping 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 Liping Wang. The network helps show where Liping Wang may publish in the future.
Co-authorship network of co-authors of Liping Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Liping Wang. A scholar is included among the top collaborators of Liping Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liping Wang. Liping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 105 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | Analysis on Difficulties of Data Ming Application in University | 1 |
| 19 | 0 | |
| 20 | 13 |
About Liping Wang
Liping Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Applied Mathematics, having authored 86 papers that have together received 608 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (8 papers), ECG Monitoring and Analysis (6 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Cognitive Neuroscience (145 citations), Applied Mathematics (68 citations) and Artificial Intelligence (147 citations). Liping Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Béchir Jarraya, Stanislas Dehaene, Lynn Uhrig, Juncheng Wei, Chuang Li, Harald Niederreiter, Xuemin Lin, Qing Li, Na Li and Yang Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology and Journal of Cleaner Production.
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.