Cai Yi

2.2k total citations · 3 hit papers
98 papers, 1.6k citations indexed

About

Cai Yi is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Cai Yi has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Mechanical Engineering, 55 papers in Control and Systems Engineering and 22 papers in Mechanics of Materials. Recurrent topics in Cai Yi's work include Machine Fault Diagnosis Techniques (49 papers), Gear and Bearing Dynamics Analysis (46 papers) and Railway Engineering and Dynamics (16 papers). Cai Yi is often cited by papers focused on Machine Fault Diagnosis Techniques (49 papers), Gear and Bearing Dynamics Analysis (46 papers) and Railway Engineering and Dynamics (16 papers). Cai Yi collaborates with scholars based in China, Hong Kong and United States. Cai Yi's co-authors include Jianhui Lin, Dong Wang, Qiuyang Zhou, Kwok‐Leung Tsui, Yang Zhao, Liu He, Yuanxia Sun, Jiangang Yang, Deqiang He and Weihua Zhang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and ACS Catalysis.

In The Last Decade

Cai Yi

89 papers receiving 1.6k citations

Hit Papers

RTSMFFDE-HKRR: A fault diagnosis method for train bearing... 2024 2026 2025 2024 2025 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cai Yi China 22 963 774 308 250 195 98 1.6k
Hongkun Li China 28 974 1.0× 1.1k 1.5× 378 1.2× 128 0.5× 407 2.1× 194 2.3k
Chao Jin China 18 242 0.3× 169 0.2× 43 0.1× 172 0.7× 44 0.2× 32 935
Eva H. Dulf Romania 20 743 0.8× 116 0.1× 24 0.1× 150 0.6× 74 0.4× 144 1.7k
G.A. Montague United Kingdom 27 1.6k 1.6× 502 0.6× 38 0.1× 607 2.4× 63 0.3× 136 2.6k
Biqing Wu United States 12 803 0.8× 235 0.3× 176 0.6× 39 0.2× 119 0.6× 21 1.2k
Lin Liang China 16 645 0.7× 570 0.7× 179 0.6× 30 0.1× 104 0.5× 65 1.2k
Weiming Shao China 19 848 0.9× 298 0.4× 23 0.1× 45 0.2× 52 0.3× 64 1.1k

Countries citing papers authored by Cai Yi

Since Specialization
Citations

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

Fields of papers citing papers by Cai Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cai Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Cai Yi. A scholar is included among the top collaborators of Cai Yi 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 Cai Yi. Cai Yi 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.
Yi, Cai, et al.. (2025). Detecting unexpected faults of high-speed train axlebox bearings using multi-node network structure. Measurement. 246. 116641–116641. 2 indexed citations
2.
He, Deqiang, Jiayang Zhao, Zhenzhen Jin, et al.. (2025). DCAGGCN: A novel method for remaining useful life prediction of bearings. Reliability Engineering & System Safety. 260. 110978–110978. 22 indexed citations breakdown →
3.
He, Deqiang, Jinxin Wu, Zhenzhen Jin, et al.. (2025). AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions. Reliability Engineering & System Safety. 258. 110907–110907. 35 indexed citations breakdown →
4.
Li, Yifan, et al.. (2025). An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment. Journal of Intelligent Manufacturing. 37(3). 1109–1123. 3 indexed citations
5.
Yi, Cai, et al.. (2024). A novel deep learning architecture and its application in dynamic load monitoring of the vehicle system. Measurement. 229. 114336–114336. 5 indexed citations
6.
Yi, Cai, et al.. (2024). Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location. Expert Systems with Applications. 254. 124453–124453. 15 indexed citations
7.
Yi, Cai, et al.. (2024). Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations
8.
Wang, Jingyue, et al.. (2024). Research on bifurcation and chaos characteristics of planet gear transmission system with thermal deformation. Journal of low frequency noise, vibration and active control. 44(2). 629–658. 1 indexed citations
9.
He, Deqiang, et al.. (2024). RTSMFFDE-HKRR: A fault diagnosis method for train bearing in noise environment. Measurement. 239. 115417–115417. 79 indexed citations breakdown →
10.
Wei, Zexian, et al.. (2024). Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition. IEEE Transactions on Vehicular Technology. 73(11). 16582–16592. 3 indexed citations
11.
Wang, Jingyue, et al.. (2024). Prediction of rolling bearing performance degradation based on whale optimization algorithm and backpropagation model. Journal of low frequency noise, vibration and active control. 44(1). 290–301. 1 indexed citations
12.
Hu, Yongxu, Andy Tan, Cai Yi, & Fengming Li. (2023). Effect analysis of cardan shaft misalignment on dynamic performance of high-speed vehicle. Engineering Failure Analysis. 150. 107301–107301. 5 indexed citations
13.
Yi, Cai, et al.. (2023). Integrating adaptive input length selection strategy and unsupervised transfer learning for bearing fault diagnosis under noisy conditions. Applied Soft Computing. 148. 110870–110870. 19 indexed citations
14.
Yi, Cai, et al.. (2023). A novel transfer learning network with adaptive input length selection and lightweight structure for bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 123. 106395–106395. 44 indexed citations
15.
Li, Tao, et al.. (2023). Reprint of: Physical modeling for digital twin of Continuous Damping Control damper. Journal of Manufacturing Processes. 100. 55–63.
16.
Yi, Cai, et al.. (2023). A Novel Periodic Cyclic Sparse Network With Entire Domain Adaptation for Deep Transfer Fault Diagnosis of Rolling Bearing. IEEE Sensors Journal. 23(12). 13452–13468. 12 indexed citations
17.
Zheng, Junwen, et al.. (2023). Diagnosis and classification of gear composite faults based on S-transform and improved 2D convolutional neural network. International Journal of Dynamics and Control. 12(6). 1659–1670. 7 indexed citations
18.
19.
Wang, Jingyue, Haotian Wang, Junnian Wang, et al.. (2023). Nonlinear dynamics and control of connected hydro-pneumatic suspension with fractional order. International Journal of Non-Linear Mechanics. 157. 104516–104516. 4 indexed citations
20.
Yi, Cai. (2012). A Study on the Cooperation Behavioral of Multi-Participates Project Team. Journal of systems management. 2 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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