Baoping Liu
Impact in
- Mathematical Physics top 10%
- Advanced Mathematical Physics Problems
- Biomaterials top 10%
- Nanocomposite Films for Food Packaging
Papers in ⓘ
-
- Advanced Mathematical Physics Problems 9
- Co-authors
- Bin Li (7 shared papers)Paul N. Smith (2 shared papers)Hongye Li (4 shared papers)Guochang Sun (3 shared papers)Bin Xiao (1 shared paper)Huaiqiang Zhang (1 shared paper)Kai Su (1 shared paper)Guan‐Lin Xie (5 shared papers)
- Journals
- Nature Communications (2 papers)Nonlinear Analysis (2 papers)International Mathematics Research Notices (2 papers)American Journal of Mathematics (1 paper)Ceramics International (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Baoping Liu
53 papers receiving 775 citations
Peers
Comparison fields: 5 of 124
- Mathematical Physics 103
- Biomaterials 97
- Applied Mathematics 74
- Information Systems 87
- Plant Science 142
Countries citing papers authored by Baoping Liu
This map shows the geographic impact of Baoping 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 Baoping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoping Liu more than expected).
Fields of papers citing papers by Baoping Liu
This network shows the impact of papers produced by Baoping 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 Baoping Liu. The network helps show where Baoping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoping 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 87 | |
| 2 | 2016 | 84 | |
| 3 | 2016 | 79 | |
| 4 | 2012 | 49 | |
| 5 | 2013 | 44 | |
| 6 | 2012 | 34 | |
| 7 | 2023 | 31 | |
| 8 | 2016 | 30 | |
| 9 | 2016 | 28 | |
| 10 | miRNA-101 inhibits ovarian cancer cells proliferation and invasion by down-regulating expression of SOCS-2. | 2015 | 28 |
| 11 | 2023 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2015 | 23 | |
| 14 | 2010 | 23 | |
| 15 | 2011 | 19 | |
| 16 | 2017 | 17 | |
| 17 | 2011 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 1982 | 13 | |
| 20 | 2015 | 12 |
About Baoping Liu
Baoping Liu is a scholar working on Mathematical Physics, Numerical Analysis, Statistical and Nonlinear Physics, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (9 papers), Plant Pathogenic Bacteria Studies (5 papers), Nonlinear Waves and Solitons (5 papers), Nonlinear Photonic Systems (4 papers), RNA Research and Splicing (4 papers), Plant Pathogens and Fungal Diseases (3 papers), RNA modifications and cancer (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Mathematical Physics (103 citations), Biomaterials (97 citations), Applied Mathematics (74 citations), Information Systems (87 citations) and Plant Science (142 citations). Baoping Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bin Li, Paul N. Smith, Hongye Li, Guochang Sun, Bin Xiao, Huaiqiang Zhang, Kai Su, Guan‐Lin Xie, Daniel Tataru and Muhammad Ibrahim. Their work appears in journals such as Nature Communications, Nonlinear Analysis, International Mathematics Research Notices, American Journal of Mathematics and Ceramics International.
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.