Xiaoan Yan

5.0k total citations · 5 hit papers
94 papers, 4.0k citations indexed

About

Xiaoan Yan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Xiaoan Yan has authored 94 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Control and Systems Engineering, 61 papers in Mechanical Engineering and 35 papers in Mechanics of Materials. Recurrent topics in Xiaoan Yan's work include Machine Fault Diagnosis Techniques (83 papers), Gear and Bearing Dynamics Analysis (50 papers) and Engineering Diagnostics and Reliability (29 papers). Xiaoan Yan is often cited by papers focused on Machine Fault Diagnosis Techniques (83 papers), Gear and Bearing Dynamics Analysis (50 papers) and Engineering Diagnostics and Reliability (29 papers). Xiaoan Yan collaborates with scholars based in China, Canada and Australia. Xiaoan Yan's co-authors include Minping Jia, Yadong Xu, Beibei Sun, Zheng Liu, Ling Xiang, Xianbo Wang, Zhi-Xin Yang, Ying Liu, Daoming She and Maoyou Ye and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Xiaoan Yan

91 papers receiving 3.8k citations

Hit Papers

A novel optimized SVM classification algorithm with multi... 2017 2026 2020 2023 2018 2017 2023 2024 2024 100 200 300 400

Peers

Xiaoan Yan
Xiaoan Yan
Citations per year, relative to Xiaoan Yan Xiaoan Yan (= 1×) peers Diego Cabrera

Countries citing papers authored by Xiaoan Yan

Since Specialization
Citations

This map shows the geographic impact of Xiaoan 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 Xiaoan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoan Yan more than expected).

Fields of papers citing papers by Xiaoan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoan 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 Xiaoan Yan. The network helps show where Xiaoan Yan may publish in the future.

Co-authorship network of co-authors of Xiaoan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoan Yan. A scholar is included among the top collaborators of Xiaoan 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 Xiaoan Yan. Xiaoan Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Wan, et al.. (2025). Rolling bearing degradation stage division and RUL prediction based on recursive exponential slow feature analysis and Bi-LSTM model. Reliability Engineering & System Safety. 259. 110923–110923. 6 indexed citations
2.
Yan, Xiaoan, et al.. (2025). A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios. Applied Soft Computing. 174. 113053–113053. 10 indexed citations
3.
Su, Hao, et al.. (2025). Physics-informed blind wavelet deconvolution transfer network for cross-machine bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 166. 113541–113541.
4.
She, Daoming, et al.. (2025). A meta-transfer-driven method for predicting the remaining useful life of rolling bearing with few shot data. Measurement. 254. 117882–117882. 1 indexed citations
5.
Yan, Xiaoan, et al.. (2025). Intelligent fault diagnosis based on multi-sensor data fusion and multi-scale dual attention enhanced network. Measurement Science and Technology. 36(2). 25110–25110. 2 indexed citations
6.
Yan, Xiaoan, et al.. (2024). MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios. Expert Systems with Applications. 259. 125214–125214. 65 indexed citations breakdown →
7.
Cao, Yudong, Jichao Zhuang, Qiuhua Miao, et al.. (2024). Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. Reliability Engineering & System Safety. 246. 110079–110079. 10 indexed citations
8.
She, Daoming, et al.. (2024). Intelligent fault diagnosis method of rolling bearing based on multi-source domain fast adversarial network. Measurement Science and Technology. 35(5). 56119–56119. 8 indexed citations
9.
Yan, Xiaoan, Xing Hua, Dong Jiang, & Ling Xiang. (2024). A novel robust intelligent fault diagnosis method for rolling bearings based on SPAVMD and WOA-LSSVM under noisy conditions. Measurement Science and Technology. 35(5). 56121–56121. 8 indexed citations
10.
Yan, Xiaoan, et al.. (2024). Remaining useful life prediction of rolling bearings based on CNN-GRU-MSA with multi-channel feature fusion. Nondestructive Testing And Evaluation. 1–26. 8 indexed citations
11.
Yan, Xiaoan, et al.. (2024). CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis. Information Fusion. 112. 102554–102554. 44 indexed citations breakdown →
12.
She, Daoming, et al.. (2024). A meta transfer learning method for gearbox fault diagnosis with limited data. Measurement Science and Technology. 35(8). 86114–86114. 8 indexed citations
13.
Cao, Yudong, Minping Jia, Xiaoli Zhao, Xiaoan Yan, & Zheng Liu. (2023). Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data. Expert Systems with Applications. 222. 119824–119824. 7 indexed citations
14.
Xu, Yadong, Ke Feng, Xiaoan Yan, et al.. (2023). CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery. Information Fusion. 95. 1–16. 136 indexed citations breakdown →
15.
She, Daoming, et al.. (2022). Deep multi feature dynamic adversarial diagnosis approach of rotating machinery. Measurement Science and Technology. 33(12). 125023–125023. 3 indexed citations
16.
Yan, Xiaoan, Yadong Xu, Daoming She, & Zhang Wan. (2021). A Bearing Fault Diagnosis Method Based on PAVME and MEDE. Entropy. 23(11). 1402–1402. 22 indexed citations
17.
Yan, Xiaoan, Zhang Wan, & Minping Jia. (2021). A bearing fault feature extraction method based on optimized singular spectrum decomposition and linear predictor. Measurement Science and Technology. 32(11). 115023–115023. 16 indexed citations
18.
Zhang, Wan, Minping Jia, Lin Zhu, & Xiaoan Yan. (2017). Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis. Chinese Journal of Mechanical Engineering. 30(4). 782–795. 58 indexed citations
19.
Su, Hao, et al.. (2011). Reconfigurable MRI-guided robotic surgical manipulator: Prostate brachytherapy and neurosurgery applications. PubMed. 2011. 2111–2114. 16 indexed citations
20.
Yan, Xiaoan, et al.. (2011). An affordable compact humanoid robot for autism spectrum disorder interventions in children. PubMed. 2011. 5319–5322. 40 indexed citations

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.

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