Linxia Gu
- Mechanics of Materials top 0.05%
- Computational Mechanics top 0.2%
- Civil and Structural Engineering top 0.2%
- Automotive Engineering top 1%
-
- Coronary Interventions and Diagnostics 37
-
- Elasticity and Material Modeling 19
- Bone Tissue Engineering Materials 13
-
- Automotive and Human Injury Biomechanics 18
- Aortic aneurysm repair treatments 13
-
- Traumatic Ocular and Foreign Body Injuries 15
-
- Cardiac Imaging and Diagnostics 14
-
- Cardiac Valve Diseases and Treatments 13
Linxia Gu
162 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Mechanics of Materials 6.0k
- Computational Mechanics 2.9k
- Civil and Structural Engineering 2.9k
- Automotive Engineering 679
- Statistics, Probability and Uncertainty 338
Countries citing papers authored by Linxia Gu
This map shows the geographic impact of Linxia Gu'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 Linxia Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linxia Gu more than expected).
Fields of papers citing papers by Linxia Gu
This network shows the impact of papers produced by Linxia Gu. 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 Linxia Gu. The network helps show where Linxia Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linxia Gu, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 22 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 30 | |
| 17 | Mechanical engineering capstone projects in rehabilitation design | 2017 | 1 |
| 18 | Episcleral Venous Pressure And Intraocular Pressure As Biomarkers For Intracranial Pressure Changes | 2017 | 2 |
| 19 | 2015 | 31 | |
| 20 | Crack propagation by element-free Galerkin methodsbreakdown → | 1995 | 440 |
About Linxia Gu
Linxia Gu is a scholar working on Ophthalmology, Pulmonary and Respiratory Medicine, Biomaterials, Surgery and Neurology, having authored 170 papers that have together received 10.1k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (37 papers), Elasticity and Material Modeling (19 papers), Automotive and Human Injury Biomechanics (18 papers), Traumatic Ocular and Foreign Body Injuries (15 papers), Cardiac Imaging and Diagnostics (14 papers), Cardiac Valve Diseases and Treatments (13 papers), Aortic aneurysm repair treatments (13 papers) and Bone Tissue Engineering Materials (13 papers). The work is most often cited by research in Mechanics of Materials (6.0k citations), Computational Mechanics (2.9k citations), Civil and Structural Engineering (2.9k citations), Automotive Engineering (679 citations) and Statistics, Probability and Uncertainty (338 citations). Linxia Gu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ted Belytschko, Ye Lu, Shengmao Lin, Aleksandr Ovsianikov, Liesbeth Tytgat, Sandra Van Vlierberghe, R. J. Yang, Pengfei Dong, Hozhabr Mozafari and Shijia Zhao. Their work appears in journals such as Applied Sciences, Nanotechnology Reviews, Composites Part B Engineering, Journal of Biomechanical Engineering 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.