Tianzhe Wang
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Civil and Structural Engineering
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Jialong HeJunchi YanYanmin QianShuai WangKai YuChao LiuZhaojun YangGuofa Li
- Topics
- Probabilistic and Robust Engineering Design (6 papers)Structural Health Monitoring Techniques (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Cited by
- Statistics, Probability and UncertaintySignal ProcessingComputational Theory and Mathematics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceReliability Engineering & System SafetyInternational Journal of Thermal Sciences
- Partner nations
- ChinaUnited States
In The Last Decade
Tianzhe Wang
11 papers receiving 113 citations
Peers
Comparison fields: 5 of 29
- Statistics, Probability and Uncertainty 56
- Artificial Intelligence 38
- Civil and Structural Engineering 24
- Computer Vision and Pattern Recognition 23
- Signal Processing 23
Countries citing papers authored by Tianzhe Wang
This map shows the geographic impact of Tianzhe Wang'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 Tianzhe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianzhe Wang more than expected).
Fields of papers citing papers by Tianzhe Wang
This network shows the impact of papers produced by Tianzhe Wang. 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 Tianzhe Wang. The network helps show where Tianzhe Wang may publish in the future.
Co-authorship network of co-authors of Tianzhe Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianzhe Wang. A scholar is included among the top collaborators of Tianzhe Wang 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 Tianzhe Wang. Tianzhe Wang 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 17 | |
| 9 | 21 | |
| 10 | 5 | |
| 11 | 22 | |
| 12 | Once-for-All: Train One Network and Specialize it for Efficient Deployment on Diverse Hardware Platforms | 2 |
| 13 | 23 |
About Tianzhe Wang
Tianzhe Wang is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics, having authored 13 papers that have together received 120 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Structural Health Monitoring Techniques (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (56 citations), Signal Processing (23 citations) and Computational Theory and Mathematics (20 citations). Tianzhe Wang has collaborated with scholars based in China and United States. Frequent co-authors include Jialong He, Junchi Yan, Yanmin Qian, Shuai Wang, Kai Yu, Chao Liu, Zhaojun Yang, Guofa Li, Bo Liu and Run Shi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Reliability Engineering & System Safety and International Journal of Thermal Sciences.
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.