Ruyi Huang

4.2k total citations · 6 hit papers
70 papers, 3.2k citations indexed

About

Ruyi Huang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Ruyi Huang has authored 70 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Control and Systems Engineering, 36 papers in Mechanical Engineering and 24 papers in Mechanics of Materials. Recurrent topics in Ruyi Huang's work include Machine Fault Diagnosis Techniques (45 papers), Engineering Diagnostics and Reliability (18 papers) and Fault Detection and Control Systems (17 papers). Ruyi Huang is often cited by papers focused on Machine Fault Diagnosis Techniques (45 papers), Engineering Diagnostics and Reliability (18 papers) and Fault Detection and Control Systems (17 papers). Ruyi Huang collaborates with scholars based in China, Hong Kong and Belgium. Ruyi Huang's co-authors include Weihua Li, Jipu Li, Zhuyun Chen, Yixiao Liao, Guolin He, Junbin Chen, Konstantinos Gryllias, Jiaxian Chen, Ruqiang Yan and Jingyan Xia and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Energy.

In The Last Decade

Ruyi Huang

66 papers receiving 3.1k citations

Hit Papers

A perspective survey on deep transfer learning for fault ... 2021 2026 2022 2024 2021 2023 2022 2023 2023 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruyi Huang China 26 2.3k 1.3k 750 737 259 70 3.2k
Siyu Shao China 15 2.7k 1.2× 1.5k 1.1× 861 1.1× 611 0.8× 374 1.4× 27 3.6k
Haidong Shao China 26 2.1k 0.9× 1.1k 0.8× 615 0.8× 578 0.8× 240 0.9× 76 2.7k
Mariela Cerrada Ecuador 26 2.6k 1.1× 1.7k 1.3× 920 1.2× 531 0.7× 339 1.3× 116 3.6k
Jipu Li China 20 1.9k 0.8× 1.0k 0.8× 574 0.8× 634 0.9× 171 0.7× 53 2.4k
Diego Cabrera Ecuador 27 2.7k 1.1× 1.8k 1.4× 941 1.3× 497 0.7× 329 1.3× 97 3.6k
Wentao Mao China 25 1.9k 0.8× 1.1k 0.9× 521 0.7× 864 1.2× 201 0.8× 117 3.0k
Xingqiu Li China 25 2.3k 1.0× 1.5k 1.1× 780 1.0× 436 0.6× 179 0.7× 38 2.8k
Saibo Xing China 11 3.4k 1.4× 2.0k 1.6× 1.2k 1.6× 711 1.0× 299 1.2× 13 4.0k
Guolin He China 29 2.1k 0.9× 1.5k 1.2× 597 0.8× 457 0.6× 162 0.6× 47 2.8k
René–Vinicio Sánchez Ecuador 30 3.2k 1.4× 2.1k 1.7× 1.2k 1.6× 517 0.7× 379 1.5× 112 4.3k

Countries citing papers authored by Ruyi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ruyi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruyi Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruyi Huang. A scholar is included among the top collaborators of Ruyi Huang 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 Ruyi Huang. Ruyi Huang 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, Bin, et al.. (2025). Virtual-real twin data powered deep adaptive detection method for corrosion damage in cable aluminum sheath structure using helical guided waves. Engineering Structures. 333. 120195–120195. 1 indexed citations
2.
Zhang, Xin, et al.. (2025). A Multiscale Cross-Channel Attention Network for Remaining Useful Life Prediction With Variable Sensors. IEEE Transactions on Instrumentation and Measurement. 74. 1–10. 2 indexed citations
3.
Chen, Jiaxian, et al.. (2025). Contrastive Learning-Based Feature-Consistency Distillation Network for Weak Fault Diagnosis of Harmonic Drive. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
5.
Xu, Yadong, Shirley Xin Li, Ke Feng, et al.. (2025). Domain constrained cascadic multireceptive learning networks for machine health monitoring in complex manufacturing systems. Journal of Manufacturing Systems. 80. 563–577. 8 indexed citations
6.
Xia, Jingyan, Ruyi Huang, Jipu Li, Zhuyun Chen, & Weihua Li. (2024). Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 32 indexed citations
7.
Xia, Jingyan, Zhuyun Chen, Jiaxian Chen, et al.. (2024). A digital twin-driven approach for partial domain fault diagnosis of rotating machinery. Engineering Applications of Artificial Intelligence. 131. 107848–107848. 40 indexed citations
8.
Zhang, Bin, et al.. (2024). Ring Array Scatter Feature Adaption Deep Transfer Imaging Method for Composite Plate Structure Health Monitoring Using Guided Waves. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 4 indexed citations
9.
Hong, Xiaobin, Yifan Cai, Zhuyun Chen, Ruyi Huang, & Bin Zhang. (2024). Deep knowledge transfer powered ultrasonic guided wave damage monitoring under incomplete database scenarios: theories, applications and challenges. Smart Materials and Structures. 34(3). 33003–33003. 2 indexed citations
10.
Chen, Zhuyun, Jingyan Xia, Jipu Li, et al.. (2023). Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network. Advanced Engineering Informatics. 57. 102033–102033. 88 indexed citations breakdown →
11.
Chen, Jiaxian, Ruyi Huang, Zhuyun Chen, Wentao Mao, & Weihua Li. (2023). Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective. Mechanical Systems and Signal Processing. 193. 110239–110239. 149 indexed citations breakdown →
12.
Huang, Ruyi, Jingyan Xia, Bin Zhang, Zhuyun Chen, & Weihua Li. (2023). Compound Fault Diagnosis for Rotating Machinery: State-of-the-Art, Challenges, and Opportunities. 57 indexed citations
13.
Ding, Kang, et al.. (2023). Graph Structure and Temporal Data Driven Remaining Useful Life Prediction Method for Machinery. Journal of Mechanical Engineering. 59(12). 183–183. 4 indexed citations
14.
Chen, Zhuyun, Qin Wu, Guolin He, et al.. (2023). Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions. IEEE Sensors Journal. 23(15). 17737–17750. 33 indexed citations
15.
Chen, Jiaxian, et al.. (2023). Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression. Reliability Engineering & System Safety. 234. 109151–109151. 71 indexed citations
16.
Chen, Zhuyun, Yixiao Liao, Jipu Li, et al.. (2022). A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery. IEEE Transactions on Cybernetics. 53(3). 1982–1993. 148 indexed citations breakdown →
17.
Liao, Yixiao, Ruyi Huang, Jipu Li, Zhuyun Chen, & Weihua Li. (2021). Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis. Chinese Journal of Mechanical Engineering. 34(1). 6 indexed citations
18.
Liao, Yixiao, Ruyi Huang, Jipu Li, Zhuyun Chen, & Weihua Li. (2021). Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis. Chinese Journal of Mechanical Engineering. 34(1). 24 indexed citations
19.
Chen, Zhuyun, Ruyi Huang, Yixiao Liao, et al.. (2021). Simultaneous fault type and severity identification using a two-branch domain adaptation network. Measurement Science and Technology. 32(9). 94014–94014. 12 indexed citations
20.
Chen, Junbin, et al.. (2021). Federated Learning for Bearing Fault Diagnosis with Dynamic Weighted Averaging. 1–6. 16 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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