Zequn Wang
- Statistics, Probability and Uncertainty top 0.1%
- Computational Theory and Mathematics top 1%
- Civil and Structural Engineering top 2%
- Mechanics of Materials top 5%
- Electrical and Electronic Engineering top 10%
- Topics
- Probabilistic and Robust Engineering Design (36 papers)Advanced Multi-Objective Optimization Algorithms (23 papers)Optimal Experimental Design Methods (16 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zequn Wang
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 139
- Statistics, Probability and Uncertainty 1.1k
- Computational Theory and Mathematics 592
- Civil and Structural Engineering 498
- Mechanics of Materials 319
- Electrical and Electronic Engineering 318
Countries citing papers authored by Zequn Wang
This map shows the geographic impact of Zequn 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 Zequn Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zequn Wang more than expected).
Fields of papers citing papers by Zequn Wang
This network shows the impact of papers produced by Zequn 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 Zequn Wang. The network helps show where Zequn Wang may publish in the future.
Co-authorship network of co-authors of Zequn Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zequn Wang. A scholar is included among the top collaborators of Zequn 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 Zequn Wang. Zequn 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 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 60 | |
| 8 | 27 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 41 | |
| 13 | 28 | |
| 14 | 39 | |
| 15 | 20 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 47 | |
| 20 | 13 |
About Zequn Wang
Zequn Wang is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (36 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Optimal Experimental Design Methods (16 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Computational Theory and Mathematics (592 citations) and Management Science and Operations Research (300 citations). Zequn Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Pingfeng Wang, Mingyang Li, Wei Chen, Meng An, Guangxing Bai, Kai Zhou, Weiming Zhou, Liwei Wang, Abdulaziz T. Almaktoom and Yanping Xu. Their work appears in journals such as Advanced Materials, Nature Communications and Nano Letters.
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.