Chao Dang
- Statistics, Probability and Uncertainty top 0.2%
- Civil and Structural Engineering top 2%
- Computational Theory and Mathematics top 2%
- Mechanics of Materials top 10%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Jun XuMichael BeerPengfei WeiMarcos A. ValdebenitoMatthias G.R. FaesJingwen SongFan KongChangting Zhong
- Topics
- Probabilistic and Robust Engineering Design (47 papers)Structural Health Monitoring Techniques (17 papers)Advanced Multi-Objective Optimization Algorithms (14 papers)
- Cited by
- Statistics, Probability and UncertaintyCivil and Structural EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE AccessComputer Methods in Applied Mechanics and EngineeringJournal of Sound and Vibration
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Chao Dang
51 papers receiving 966 citations
Peers
Comparison fields: 5 of 61
- Statistics, Probability and Uncertainty 822
- Civil and Structural Engineering 520
- Computational Theory and Mathematics 210
- Mechanics of Materials 191
- Safety, Risk, Reliability and Quality 157
Countries citing papers authored by Chao Dang
This map shows the geographic impact of Chao Dang'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 Chao Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Dang more than expected).
Fields of papers citing papers by Chao Dang
This network shows the impact of papers produced by Chao Dang. 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 Chao Dang. The network helps show where Chao Dang may publish in the future.
Co-authorship network of co-authors of Chao Dang
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Dang. A scholar is included among the top collaborators of Chao Dang 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 Chao Dang. Chao Dang 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 | 1 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 15 | |
| 16 | 17 | |
| 17 | 31 | |
| 18 | 22 | |
| 19 | 23 | |
| 20 | 87 |
About Chao Dang
Chao Dang is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (47 papers), Structural Health Monitoring Techniques (17 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (822 citations), Civil and Structural Engineering (520 citations) and Safety, Risk, Reliability and Quality (157 citations). Chao Dang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Jun Xu, Michael Beer, Pengfei Wei, Marcos A. Valdebenito, Matthias G.R. Faes, Jingwen Song, Fan Kong, Changting Zhong, Yu Shrike Zhang and Ding Wang. Their work appears in journals such as IEEE Access, Computer Methods in Applied Mechanics and Engineering and Journal of Sound and Vibration.
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.