Minliang Liu
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Nuclear and High Energy Physics top 10%
- Co-authors
- Wei SunLiang LiangC. F. MartinJohn A. ElefteriadesHualei WangCaitlin MartinF. R. XuBradley G. Leshnower
- Topics
- Nuclear physics research studies (33 papers)Elasticity and Material Modeling (21 papers)Aortic aneurysm repair treatments (18 papers)
- Cited by
- Nuclear and High Energy PhysicsStatistical and Nonlinear PhysicsCardiology and Cardiovascular Medicine
- Journals
- CirculationSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Minliang Liu
65 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Biomedical Engineering 390
- Pulmonary and Respiratory Medicine 261
- Cardiology and Cardiovascular Medicine 220
- Surgery 166
- Nuclear and High Energy Physics 156
Countries citing papers authored by Minliang Liu
This map shows the geographic impact of Minliang 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 Minliang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minliang Liu more than expected).
Fields of papers citing papers by Minliang Liu
This network shows the impact of papers produced by Minliang 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 Minliang Liu. The network helps show where Minliang Liu may publish in the future.
Co-authorship network of co-authors of Minliang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Minliang Liu. A scholar is included among the top collaborators of Minliang Liu 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 Minliang Liu. Minliang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | Abstract 14347: Biomechanical and Histological Analysis Supports Increased Stiffness and Fibrosis in Chronic versus Acute Aortic Dissection Flaps | 1 |
| 17 | A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysisbreakdown → | 326 |
| 18 | 59 | |
| 19 | 19 | |
| 20 | 23 |
About Minliang Liu
Minliang Liu is a scholar working on Nuclear and High Energy Physics, Radiation and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nuclear physics research studies (33 papers), Elasticity and Material Modeling (21 papers) and Aortic aneurysm repair treatments (18 papers). The work is most often cited by research in Nuclear and High Energy Physics (156 citations), Statistical and Nonlinear Physics (126 citations) and Cardiology and Cardiovascular Medicine (220 citations). Minliang Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wei Sun, Liang Liang, C. F. Martin, John A. Elefteriades, Hualei Wang, Caitlin Martin, F. R. Xu, Bradley G. Leshnower, Hai Dong and Xiaoying Lou. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.
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.