Houpu Yao
- Civil and Structural Engineering top 5%
- Mechanical Engineering
- Mechanics of Materials top 10%
- Materials Chemistry
- Artificial Intelligence
- Co-authors
- Yongming LiuYi RenYang YuRuijin CangYang JiaoYi GaoYutian PangZe Ji
- Topics
- Model Reduction and Neural Networks (6 papers)Structural Health Monitoring Techniques (4 papers)Non-Destructive Testing Techniques (3 papers)
- Cited by
- Statistics, Probability and UncertaintyCivil and Structural EngineeringStatistical and Nonlinear Physics
- Journals
- Computer Methods in Applied Mechanics and EngineeringNeurocomputingEngineering Fracture Mechanics
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Houpu Yao
20 papers receiving 541 citations
Peers
Comparison fields: 5 of 83
- Civil and Structural Engineering 177
- Mechanical Engineering 134
- Mechanics of Materials 102
- Materials Chemistry 86
- Artificial Intelligence 84
Countries citing papers authored by Houpu Yao
This map shows the geographic impact of Houpu Yao'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 Houpu Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Houpu Yao more than expected).
Fields of papers citing papers by Houpu Yao
This network shows the impact of papers produced by Houpu Yao. 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 Houpu Yao. The network helps show where Houpu Yao may publish in the future.
Co-authorship network of co-authors of Houpu Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Houpu Yao. A scholar is included among the top collaborators of Houpu Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Houpu Yao. Houpu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 60 | |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 90 | |
| 9 | 44 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 41 | |
| 14 | 7 | |
| 15 | 55 | |
| 16 | 156 | |
| 17 | 17 | |
| 18 | 17 | |
| 19 | One-Shot Optimal Topology Generation through Theory-Driven Machine Learning. | 1 |
| 20 | 6 |
About Houpu Yao
Houpu Yao is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Civil and Structural Engineering, having authored 21 papers that have together received 560 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (6 papers), Structural Health Monitoring Techniques (4 papers) and Non-Destructive Testing Techniques (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (59 citations), Civil and Structural Engineering (177 citations) and Statistical and Nonlinear Physics (83 citations). Houpu Yao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yongming Liu, Yi Ren, Yang Yu, Ruijin Cang, Yang Jiao, Yi Gao, Yutian Pang, Ze Ji, Min Xia and Feng Xu. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Neurocomputing and Engineering Fracture Mechanics.
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.