Xiaoying Zhuang
- Mechanics of Materials top 0.01%
- Numerical methods in engineering 136
- Rock Mechanics and Modeling 59
- Composite Material Mechanics 30
- Composite Structure Analysis and Optimization 26
- Civil and Structural Engineering top 0.02%
- Geotechnical Engineering and Underground Structures 33
- Cancer Research top 0.2%
- Computational Mechanics top 0.1%
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- Graphene research and applications 40
- Nonlocal and gradient elasticity in micro/nano structures 39
- 2D Materials and Applications 28
- Co-authors
- Timon RabczukHuilong RenShuwei ZhouBohayra MortazaviHehua ZhuXiaoyu XiangKhader M. HamdiaN. Vu‐Bac
In The Last Decade
Xiaoying Zhuang
407 papers receiving 28.7k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Mechanics of Materials 11.1k
- Civil and Structural Engineering 7.7k
- Cancer Research 3.6k
- Safety, Risk, Reliability and Quality 1.6k
- Computational Mechanics 3.2k
Countries citing papers authored by Xiaoying Zhuang
This map shows the geographic impact of Xiaoying Zhuang'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 Xiaoying Zhuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Zhuang more than expected).
Fields of papers citing papers by Xiaoying Zhuang
This network shows the impact of papers produced by Xiaoying Zhuang. 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 Xiaoying Zhuang. The network helps show where Xiaoying Zhuang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoying Zhuang, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 29 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 5 | |
| 12 | Kolmogorov–Arnold-Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networksbreakdown → | 2024 | 53 |
| 13 | 2024 | 7 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 17 | |
| 16 | 2023 | 20 | |
| 17 | 2023 | 29 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 17 | |
| 20 | 2014 | 31 |
About Xiaoying Zhuang
Xiaoying Zhuang is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Computational Mechanics, having authored 433 papers that have together received 29.3k indexed citations. Recurring topics across this work include Numerical methods in engineering (136 papers), Rock Mechanics and Modeling (59 papers), Graphene research and applications (40 papers), Nonlocal and gradient elasticity in micro/nano structures (39 papers), Geotechnical Engineering and Underground Structures (33 papers), Composite Material Mechanics (30 papers), 2D Materials and Applications (28 papers) and Composite Structure Analysis and Optimization (26 papers). The work is most often cited by research in Mechanics of Materials (11.1k citations), Civil and Structural Engineering (7.7k citations) and Cancer Research (3.6k citations). Xiaoying Zhuang has collaborated with scholars based in Germany, China and Vietnam. Frequent co-authors include Timon Rabczuk, Huilong Ren, Shuwei Zhou, Bohayra Mortazavi, Hehua Zhu, Xiaoyu Xiang, Khader M. Hamdia, N. Vu‐Bac, Zhongbin Deng and Yongchang Cai. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Frontiers of Structural and Civil Engineering, Theoretical and Applied Fracture Mechanics, Engineering Analysis with Boundary Elements and Composite Structures.
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.