Peng Hao
Impact in
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- Probabilistic and Robust Engineering Design
- Civil and Structural Engineering top 0.2%
- Topology Optimization in Engineering
- Structural Health Monitoring Techniques
- Structural Analysis and Optimization
- Structural Load-Bearing Analysis
Papers in
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- Probabilistic and Robust Engineering Design 45
-
- Topology Optimization in Engineering 54
- Structural Health Monitoring Techniques 26
- Structural Load-Bearing Analysis 18
Peng Hao
198 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 106
- Statistics, Probability and Uncertainty 1.4k
- Civil and Structural Engineering 3.0k
- Mechanics of Materials 2.5k
- Computational Theory and Mathematics 971
- Mechanical Engineering 1.3k
Countries citing papers authored by Peng Hao
This map shows the geographic impact of Peng Hao'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 Peng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Hao more than expected).
Fields of papers citing papers by Peng Hao
This network shows the impact of papers produced by Peng Hao. 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 Peng Hao. The network helps show where Peng Hao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peng Hao, 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 22 | |
| 16 | 2023 | 27 | |
| 17 | 2021 | 1 | |
| 18 | 2018 | 60 | |
| 19 | The Analysis of Detection Performance for STSS IR Sensor | 2012 | 1 |
| 20 | 2002 | 1 |
About Peng Hao
Peng Hao is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics and General Engineering, having authored 208 papers that have together received 6.3k indexed citations. Recurring topics across this work include Composite Structure Analysis and Optimization (69 papers), Topology Optimization in Engineering (54 papers), Probabilistic and Robust Engineering Design (45 papers), Advanced Multi-Objective Optimization Algorithms (31 papers), Structural Health Monitoring Techniques (26 papers), Advanced Numerical Analysis Techniques (19 papers), Structural Load-Bearing Analysis (18 papers) and Vibration and Dynamic Analysis (16 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), Civil and Structural Engineering (3.0k citations), Mechanics of Materials (2.5k citations), Computational Theory and Mathematics (971 citations) and Mechanical Engineering (1.3k citations). Peng Hao has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Bo Wang, Kuo Tian, Behrooz Keshtegar, Zeng Meng, Gang Li, Kaifan Du, Dragan Maksimović, Yutian Wang, Gang Li and Eduard Alarcón. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Thin-Walled Structures, Structural and Multidisciplinary Optimization, Composite Structures and AIAA Journal.
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.