Xianfeng Yuan
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Topics
- Machine Fault Diagnosis Techniques (18 papers)Anomaly Detection Techniques and Applications (13 papers)Metaheuristic Optimization Algorithms Research (9 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xianfeng Yuan
58 papers receiving 848 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 360
- Control and Systems Engineering 333
- Computer Vision and Pattern Recognition 195
- Electrical and Electronic Engineering 138
- Mechanical Engineering 119
Countries citing papers authored by Xianfeng Yuan
This map shows the geographic impact of Xianfeng Yuan'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 Xianfeng Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianfeng Yuan more than expected).
Fields of papers citing papers by Xianfeng Yuan
This network shows the impact of papers produced by Xianfeng Yuan. 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 Xianfeng Yuan. The network helps show where Xianfeng Yuan may publish in the future.
Co-authorship network of co-authors of Xianfeng Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Xianfeng Yuan. A scholar is included among the top collaborators of Xianfeng Yuan 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 Xianfeng Yuan. Xianfeng Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Databreakdown → | 69 |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 156 |
About Xianfeng Yuan
Xianfeng Yuan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 68 papers that have together received 875 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (18 papers), Anomaly Detection Techniques and Applications (13 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Control and Systems Engineering (333 citations), Artificial Intelligence (360 citations) and Computer Vision and Pattern Recognition (195 citations). Xianfeng Yuan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Ke Chen, Fengyu Zhou, Fengyu Zhou, Yong Song, Qingyang Xu, Chengjin Zhang, Ziao Liu, Yan Ma, Yang Shao and Zichen Yan. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.