Yiyao An

1.4k total citations · 3 hit papers
18 papers, 933 citations indexed

About

Yiyao An is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Yiyao An has authored 18 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 6 papers in Mechanical Engineering and 4 papers in Mechanics of Materials. Recurrent topics in Yiyao An's work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (7 papers) and Gear and Bearing Dynamics Analysis (5 papers). Yiyao An is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (7 papers) and Gear and Bearing Dynamics Analysis (5 papers). Yiyao An collaborates with scholars based in China, United States and Norway. Yiyao An's co-authors include Yi Chai, Xinghua Huang, Ke Zhang, Zhiqin Zhu, Qie Liu, Guanqiu Qi, Neal Mazur, Hao Luo, Shen Yin and Jiusi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Yiyao An

17 papers receiving 912 citations

Hit Papers

A review of the application of deep learning in intellige... 2022 2026 2023 2024 2022 2022 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
    2022 386 citations Zhiqin Zhu, Guanqiu Qi et al. Measurement profile →
  2. Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions
    2022 138 citations Yiyao An, Ke Zhang et al. Expert Systems with Applications profile →
  3. An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition
    2023 135 citations Jiusi Zhang, Ke Zhang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Yiyao An
Xiaoyang Liu China
Zihao Lei China
Chuanjiang Li China
James Kuria Kimotho Germany
Weiwei Qian China
Jingyao Wu China
Zhongkui Zhu China
Aisong Qin China
Xiaoyang Liu China
Yiyao An
Citations per year, relative to Yiyao An Yiyao An (= 1×) peers Xiaoyang Liu

Countries citing papers authored by Yiyao An

Since Specialization
Citations

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

Fields of papers citing papers by Yiyao An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyao An

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

All Works

18 of 18 papers shown
1.
An, Yiyao, et al.. (2025). Fusion of Local and Global Feature-Based Explainable Diagnostic Method for Lithium-Ion Battery Degradation Modes. IEEE Transactions on Transportation Electrification. 11(3). 8353–8364.
2.
An, Yiyao, et al.. (2025). Feature Distillation-Based Uniformity Few-Shot Domain Adaptation for Cross-Domain Fault Diagnosis With Sample Shortage. IEEE Transactions on Industrial Informatics. 21(5). 3717–3726. 4 indexed citations
3.
An, Yiyao, et al.. (2025). Open-set remote sensing object detection method based on semantic space topological features. ISPRS Journal of Photogrammetry and Remote Sensing. 230. 881–894. 1 indexed citations
4.
An, Yiyao, et al.. (2025). Sample imbalance remote sensing small target detection based on discriminative feature learning and imbalanced feature semantic enrichment. Expert Systems with Applications. 273. 126753–126753. 1 indexed citations
5.
Li, Yuanyuan, et al.. (2025). DHC-Net: A Remote Sensing Object Detection Under Haze and Class Imbalance. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 2 indexed citations
6.
An, Yiyao, et al.. (2024). Few-Shot Learning-Based Fault Diagnosis Using Prototypical Contrastive-Based Domain Adaptation Under Variable Working Conditions. IEEE Sensors Journal. 24(15). 25019–25029. 9 indexed citations
7.
An, Yiyao, et al.. (2024). Certainty and Transferability Guided Few-Shot Open-Set Cross-Domain Fault Diagnosis. IEEE Transactions on Industrial Informatics. 21(4). 2997–3006. 7 indexed citations
8.
Li, Yuanyuan, et al.. (2024). Driver Distraction Detection Based on Fusion Enhancement and Global Saliency Optimization. Mathematics. 12(20). 3289–3289. 3 indexed citations
9.
Li, Yuanyuan, et al.. (2024). LARS: Remote Sensing Small Object Detection Network Based on Adaptive Channel Attention and Large Kernel Adaptation. Remote Sensing. 16(16). 2906–2906. 4 indexed citations
10.
Zhang, Jiusi, Ke Zhang, Yiyao An, Hao Luo, & Shen Yin. (2023). An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6231–6242. 135 indexed citations breakdown →
11.
Zhang, Ke, et al.. (2023). Restricted Sparse Networks for Rolling Bearing Fault Diagnosis. IEEE Transactions on Industrial Informatics. 19(11). 11139–11149. 32 indexed citations
12.
An, Yiyao, Ke Zhang, Yi Chai, Zhiqin Zhu, & Qie Liu. (2023). Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis. IEEE Transactions on Industrial Informatics. 20(1). 615–625. 69 indexed citations
13.
An, Yiyao, Ke Zhang, Qie Liu, Yi Chai, & Xinghua Huang. (2022). Rolling Bearing Fault Diagnosis Method Base on Periodic Sparse Attention and LSTM. IEEE Sensors Journal. 22(12). 12044–12053. 100 indexed citations
14.
An, Yiyao, Ke Zhang, Yi Chai, Qie Liu, & Xinghua Huang. (2022). Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 30 indexed citations
15.
An, Yiyao, Ke Zhang, Yi Chai, Qie Liu, & Xinghua Huang. (2022). Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions. Expert Systems with Applications. 212. 118802–118802. 138 indexed citations breakdown →
16.
Zhu, Zhiqin, Guanqiu Qi, Yi Chai, et al.. (2022). A review of the application of deep learning in intelligent fault diagnosis of rotating machinery. Measurement. 206. 112346–112346. 386 indexed citations breakdown →
17.
An, Yiyao, Ke Zhang, Qie Liu, Yi Chai, & Xinghua Huang. (2021). Deep Transfer Learning Network for Fault Diagnosis Under Variable Working Conditions. 17. 1–6. 9 indexed citations
18.

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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