Benkuan Wang
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Aerospace Engineering
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Datong LiuXiyuan PengYu PengLiansheng LiuZeyang WangKai GuoWenjuan WangWang Liu
- Topics
- Anomaly Detection Techniques and Applications (15 papers)Fault Detection and Control Systems (12 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceStatistics, Probability and Uncertainty
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Instrumentation and MeasurementIEEE Sensors Journal
- Partner nations
- ChinaUnited States
In The Last Decade
Benkuan Wang
23 papers receiving 376 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 214
- Control and Systems Engineering 192
- Aerospace Engineering 72
- Computer Vision and Pattern Recognition 55
- Electrical and Electronic Engineering 50
Countries citing papers authored by Benkuan Wang
This map shows the geographic impact of Benkuan 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 Benkuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benkuan Wang more than expected).
Fields of papers citing papers by Benkuan Wang
This network shows the impact of papers produced by Benkuan 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 Benkuan Wang. The network helps show where Benkuan Wang may publish in the future.
Co-authorship network of co-authors of Benkuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Benkuan Wang. A scholar is included among the top collaborators of Benkuan 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 Benkuan Wang. Benkuan 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 74 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 107 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 53 | |
| 17 | 24 | |
| 18 | 20 | |
| 19 | 11 | |
| 20 | 1 |
About Benkuan Wang
Benkuan Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 25 papers that have together received 378 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (15 papers), Fault Detection and Control Systems (12 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Control and Systems Engineering (192 citations), Artificial Intelligence (214 citations) and Statistics, Probability and Uncertainty (25 citations). Benkuan Wang has collaborated with scholars based in China and United States. Frequent co-authors include Datong Liu, Xiyuan Peng, Yu Peng, Liansheng Liu, Zeyang Wang, Kai Guo, Wenjuan Wang, Wang Liu, Dawei Pan and Yafeng Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.