Lu Hai
Impact in
- Mechanics of Materials top 5%
- Numerical methods in engineering
- Rock Mechanics and Modeling
- Fatigue and fracture mechanics
- Civil and Structural Engineering top 10%
- Structural Response to Dynamic Loads
- Innovative concrete reinforcement materials
- Geotechnical Engineering and Underground Structures
Papers in
-
- Numerical methods in engineering 15
- Rock Mechanics and Modeling 9
- Fatigue and fracture mechanics 3
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- Fluid Dynamics Simulations and Interactions 4
- Co-authors
- Jie Li (6 shared papers)Xiaodan Ren (2 shared papers)Hui Zhang (8 shared papers)Yujie Huang (6 shared papers)Peter Wriggers (5 shared papers)Jian‐Ying Wu (1 shared paper)Shilang Xu (3 shared papers)Meng‐Ze Lyu (1 shared paper)
In The Last Decade
Lu Hai
24 papers receiving 362 citations
Peers
Comparison fields: 5 of 59
- Mechanics of Materials 205
- Civil and Structural Engineering 119
- Computational Mechanics 66
- Building and Construction 32
- Materials Chemistry 107
Countries citing papers authored by Lu Hai
This map shows the geographic impact of Lu Hai'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 Lu Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Hai more than expected).
Fields of papers citing papers by Lu Hai
This network shows the impact of papers produced by Lu Hai. 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 Lu Hai. The network helps show where Lu Hai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Hai, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 48 | |
| 2 | 2019 | 43 | |
| 3 | 2023 | 40 | |
| 4 | 2021 | 38 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2014 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2013 | 15 | |
| 11 | 2025 | 15 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2025 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2012 | 3 |
About Lu Hai
Lu Hai is a scholar working on Mechanics of Materials, Computational Mechanics, Civil and Structural Engineering, Materials Chemistry and Ocean Engineering, having authored 25 papers that have together received 375 indexed citations. Recurring topics across this work include Numerical methods in engineering (15 papers), Rock Mechanics and Modeling (9 papers), High-Velocity Impact and Material Behavior (5 papers), Fluid Dynamics Simulations and Interactions (4 papers), Structural Response to Dynamic Loads (3 papers), Fatigue and fracture mechanics (3 papers), Geophysical Methods and Applications (3 papers) and Innovative concrete reinforcement materials (2 papers). The work is most often cited by research in Mechanics of Materials (205 citations), Civil and Structural Engineering (119 citations), Computational Mechanics (66 citations), Building and Construction (32 citations) and Materials Chemistry (107 citations). Lu Hai has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Jie Li, Xiaodan Ren, Hui Zhang, Yujie Huang, Peter Wriggers, Jian‐Ying Wu, Shilang Xu, Meng‐Ze Lyu, Ye Feng and Xiaoying Zhuang. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Engineering Fracture Mechanics, Theoretical and Applied Fracture Mechanics, Probabilistic Engineering Mechanics and Ocean Engineering.
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.