Wenbin Cai
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Computer Networks and Communications
- Topics
- Machine Learning and Algorithms (8 papers)Machine Learning and Data Classification (7 papers)Algorithms and Data Compression (4 papers)
- Cited by
- Artificial IntelligenceControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsApplied Soft ComputingReliability Engineering & System Safety
- Partner nations
- ChinaUnited States
In The Last Decade
Wenbin Cai
15 papers receiving 372 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 167
- Control and Systems Engineering 114
- Computer Vision and Pattern Recognition 84
- Mechanical Engineering 67
- Computer Networks and Communications 32
Countries citing papers authored by Wenbin Cai
This map shows the geographic impact of Wenbin Cai'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 Wenbin Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbin Cai more than expected).
Fields of papers citing papers by Wenbin Cai
This network shows the impact of papers produced by Wenbin Cai. 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 Wenbin Cai. The network helps show where Wenbin Cai may publish in the future.
Co-authorship network of co-authors of Wenbin Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Wenbin Cai. A scholar is included among the top collaborators of Wenbin Cai 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 Wenbin Cai. Wenbin Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced databreakdown → | 33 |
| 2 | Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced databreakdown → | 16 |
| 3 | 8 | |
| 4 | Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noisebreakdown → | 65 |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 49 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 103 | |
| 12 | 5 | |
| 13 | 50 | |
| 14 | 9 | |
| 15 | [UV-vis spectrometric characterization of the composition of active complex in the Ni-P plating solution]. | 0 |
| 16 | On General Legal Principles of Administrative Law | 1 |
About Wenbin Cai
Wenbin Cai is a scholar working on Artificial Intelligence, Health Information Management and Bioengineering, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (7 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Control and Systems Engineering (114 citations) and Computer Vision and Pattern Recognition (84 citations). Wenbin Cai has collaborated with scholars based in China and United States. Frequent co-authors include Ya Zhang, Dezun Zhao, Jun Zhou, Lingli Cui, Muhan Zhang, Zhu Qingbao, Jun Hu, Tianyang Wang, Wenquan Wang and Siyuan Zhou. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Applied Soft Computing and Reliability Engineering & System Safety.
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.