Wang‐Ji Yan
- Civil and Structural Engineering top 2%
- Mechanics of Materials top 5%
- Mechanical Engineering top 10%
- Statistics, Probability and Uncertainty top 2%
- Control and Systems Engineering top 10%
- Co-authors
- Wei‐Xin RenDimitrios ChronopoulosKa‐Veng YuenQian SunDan LiCostas PapadimitriouSergio Cantero‐ChinchillaXin Ma
- Topics
- Structural Health Monitoring Techniques (26 papers)Ultrasonics and Acoustic Wave Propagation (13 papers)Probabilistic and Robust Engineering Design (12 papers)
- Cited by
- Civil and Structural EngineeringStatistics, Probability and UncertaintyMechanics of Materials
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Wang‐Ji Yan
30 papers receiving 650 citations
Peers
Comparison fields: 5 of 47
- Civil and Structural Engineering 521
- Mechanics of Materials 250
- Mechanical Engineering 203
- Statistics, Probability and Uncertainty 132
- Control and Systems Engineering 95
Countries citing papers authored by Wang‐Ji Yan
This map shows the geographic impact of Wang‐Ji Yan'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 Wang‐Ji Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang‐Ji Yan more than expected).
Fields of papers citing papers by Wang‐Ji Yan
This network shows the impact of papers produced by Wang‐Ji Yan. 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 Wang‐Ji Yan. The network helps show where Wang‐Ji Yan may publish in the future.
Co-authorship network of co-authors of Wang‐Ji Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Wang‐Ji Yan. A scholar is included among the top collaborators of Wang‐Ji Yan 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 Wang‐Ji Yan. Wang‐Ji Yan 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 57 | |
| 15 | 81 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 2 |
About Wang‐Ji Yan
Wang‐Ji Yan is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanics of Materials, having authored 32 papers that have together received 663 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (26 papers), Ultrasonics and Acoustic Wave Propagation (13 papers) and Probabilistic and Robust Engineering Design (12 papers). The work is most often cited by research in Civil and Structural Engineering (521 citations), Statistics, Probability and Uncertainty (132 citations) and Mechanics of Materials (250 citations). Wang‐Ji Yan has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Wei‐Xin Ren, Dimitrios Chronopoulos, Ka‐Veng Yuen, Qian Sun, Dan Li, Costas Papadimitriou, Sergio Cantero‐Chinchilla, Xin Ma, Yichen Zhu and Michael Beer. Their work appears in journals such as Sensors, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.
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.