Cunjun Wang
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanics of Materials top 10%
- Engineering Diagnostics and Reliability
Papers in
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- Structural Health Monitoring Techniques 6
- Infrastructure Maintenance and Monitoring 3
- Concrete Corrosion and Durability 2
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- Machine Fault Diagnosis Techniques 4
- Fault Detection and Control Systems 3
- Co-authors
- Zili Xu (9 shared papers)Lianping Wu (1 shared paper)Tian Guo (1 shared paper)Yan Song (2 shared papers)Jun Wang (1 shared paper)Zhen Wang (1 shared paper)Yan Song (1 shared paper)
- Journals
- Structural Health Monitoring (2 papers)International Journal of Fatigue (2 papers)Neurocomputing (2 papers)Engineering Failure Analysis (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- China
In The Last Decade
Cunjun Wang
10 papers receiving 439 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 208
- Mechanics of Materials 144
- Civil and Structural Engineering 120
- Mechanical Engineering 168
- Artificial Intelligence 85
Countries citing papers authored by Cunjun Wang
This map shows the geographic impact of Cunjun 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 Cunjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunjun Wang more than expected).
Fields of papers citing papers by Cunjun Wang
This network shows the impact of papers produced by Cunjun 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 Cunjun Wang. The network helps show where Cunjun Wang may publish in the future.
Co-authors
The 10 scholars most cited alongside Cunjun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 112 | |
| 2 | 2021 | 103 | |
| 3 | 2019 | 82 | |
| 4 | 2022 | 43 | |
| 5 | 2022 | 36 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 1 |
About Cunjun Wang
Cunjun Wang is a scholar working on Civil and Structural Engineering, Control and Systems Engineering, Mechanics of Materials, Artificial Intelligence and Mechanical Engineering, having authored 10 papers that have together received 445 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (6 papers), Machine Fault Diagnosis Techniques (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Fault Detection and Control Systems (3 papers), Anomaly Detection Techniques and Applications (2 papers), Fatigue and fracture mechanics (2 papers), Concrete Corrosion and Durability (2 papers) and Non-Destructive Testing Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (208 citations), Mechanics of Materials (144 citations), Civil and Structural Engineering (120 citations), Mechanical Engineering (168 citations) and Artificial Intelligence (85 citations). Cunjun Wang has collaborated with scholars based in China. Frequent co-authors include Zili Xu, Lianping Wu, Tian Guo, Yan Song, Jun Wang, Zhen Wang, Jun Wang, Jun Wang, Jun Wang and Yan Song. Their work appears in journals such as Structural Health Monitoring, International Journal of Fatigue, Neurocomputing, Engineering Failure Analysis and Knowledge-Based Systems.
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.