Haibo Lu
Impact in
- Computational Mechanics top 5%
- Laser and Thermal Forming Techniques
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Mechanics of Materials top 5%
- Metallurgy and Material Forming
Papers in
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- Metal Forming Simulation Techniques 9
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- Computational Fluid Dynamics and Aerodynamics 7
- Fluid Dynamics and Turbulent Flows 4
- Co-authors
- Paul A. Meehan (8 shared papers)Weiqiang Liu (5 shared papers)W.J.T. Daniel (7 shared papers)Yanle Li (4 shared papers)Songlin Zhang (1 shared paper)Xianhong Zheng (1 shared paper)Mengjuan Zhou (1 shared paper)Swee Ching Tan (1 shared paper)
In The Last Decade
Haibo Lu
60 papers receiving 1.0k citations
Haibo Lu's Hit Papers
Peers
Comparison fields: 5 of 125
- Computational Mechanics 281
- Mechanics of Materials 243
- Mechanical Engineering 339
- Applied Mathematics 68
- Aerospace Engineering 157
Countries citing papers authored by Haibo Lu
This map shows the geographic impact of Haibo Lu'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 Haibo Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibo Lu more than expected).
Fields of papers citing papers by Haibo Lu
This network shows the impact of papers produced by Haibo Lu. 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 Haibo Lu. The network helps show where Haibo Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haibo Lu, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MXene Functionalized, Highly Breathable and Sensitive Pressure Sensors with Multi‐Layered Porous Structure Hit paper breakdown → | 2023 | 178 |
| 2 | 2015 | 66 | |
| 3 | 2018 | 65 | |
| 4 | 2013 | 55 | |
| 5 | 2015 | 50 | |
| 6 | 2019 | 49 | |
| 7 | 2013 | 45 | |
| 8 | 2014 | 41 | |
| 9 | 2015 | 41 | |
| 10 | 2023 | 33 | |
| 11 | 2021 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2012 | 28 | |
| 14 | 2012 | 24 | |
| 15 | 2017 | 24 | |
| 16 | 2016 | 23 | |
| 17 | 2013 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2023 | 16 |
About Haibo Lu
Haibo Lu is a scholar working on Mechanical Engineering, Computational Mechanics, Computer Networks and Communications, Mechanics of Materials and Aerospace Engineering, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (9 papers), Metallurgy and Material Forming (9 papers), Distributed Control Multi-Agent Systems (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Advanced Surface Polishing Techniques (5 papers), Underwater Vehicles and Communication Systems (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Computational Mechanics (281 citations), Mechanics of Materials (243 citations), Mechanical Engineering (339 citations), Applied Mathematics (68 citations) and Aerospace Engineering (157 citations). Haibo Lu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Paul A. Meehan, Weiqiang Liu, W.J.T. Daniel, Yanle Li, Songlin Zhang, Xianhong Zheng, Mengjuan Zhou, Swee Ching Tan, Shuai Guo and Changlong Li. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Animals, Sensors, Journal of Computational Design and Engineering 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.