Jin Cui

1.5k total citations · 1 hit paper
60 papers, 1.1k citations indexed

About

Jin Cui is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Jin Cui has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 14 papers in Mechanical Engineering and 12 papers in Computational Mechanics. Recurrent topics in Jin Cui's work include Machine Fault Diagnosis Techniques (12 papers), Fluid Dynamics and Vibration Analysis (10 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Jin Cui is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Fluid Dynamics and Vibration Analysis (10 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Jin Cui collaborates with scholars based in China, Australia and Canada. Jin Cui's co-authors include Lei Ren, Yaqiang Sun, Zhang Li, Xuejun Cheng, Xiaokang Wang, Lin Zhang, Yongchang Wei, Pai Zheng, Jingeng Mai and Dan Zhao and has published in prestigious journals such as Journal of Physics D Applied Physics, IEEE Transactions on Intelligent Transportation Systems and Mechanical Systems and Signal Processing.

In The Last Decade

Jin Cui

52 papers receiving 1.0k citations

Hit Papers

Bearing remaining useful life prediction based on deep au... 2018 2026 2020 2023 2018 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. Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
    2018 307 citations Lei Ren, Yaqiang Sun et al. Journal of Manufacturing Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Cui China 12 554 330 205 164 158 60 1.1k
Huawei Wang China 17 653 1.2× 354 1.1× 178 0.9× 156 1.0× 224 1.4× 67 1.1k
Samir Khan United Kingdom 15 662 1.2× 311 0.9× 157 0.8× 221 1.3× 203 1.3× 43 1.4k
Yafei Deng China 13 434 0.8× 433 1.3× 221 1.1× 114 0.7× 164 1.0× 14 974
Yingkui Gu China 19 748 1.4× 506 1.5× 125 0.6× 183 1.1× 279 1.8× 63 1.3k
Liangwei Zhang China 13 575 1.0× 289 0.9× 119 0.6× 88 0.5× 143 0.9× 41 1.1k
Shuai Zheng China 12 480 0.9× 195 0.6× 100 0.5× 174 1.1× 94 0.6× 25 960
Yuanhang Wang China 17 717 1.3× 464 1.4× 105 0.5× 171 1.0× 229 1.4× 49 1.1k
Jihong Yan China 19 683 1.2× 440 1.3× 352 1.7× 155 0.9× 317 2.0× 100 1.6k
Yu Zheng China 16 328 0.6× 332 1.0× 520 2.5× 164 1.0× 98 0.6× 69 1.3k
Ying Zheng China 22 828 1.5× 311 0.9× 150 0.7× 164 1.0× 88 0.6× 127 1.5k

Countries citing papers authored by Jin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Cui. A scholar is included among the top collaborators of Jin Cui 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 Jin Cui. Jin Cui 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.
Cui, Jin, et al.. (2025). A conditional diffusion model-based data augmentation method for structural health monitoring of composites. Mechanical Systems and Signal Processing. 238. 113155–113155.
2.
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Cui, Jin, et al.. (2025). Transfer learning-based approach for evaluating residual stiffness in carbon fiber reinforced composites and adhesives. Engineering Applications of Artificial Intelligence. 159. 111624–111624. 1 indexed citations
4.
Feng, Bao, Yu Liu, Qinghui Hu, et al.. (2024). Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images. Heliyon. 10(3). e25655–e25655. 3 indexed citations
5.
Bi, Kaitao, et al.. (2024). Decoupled MPC Power Balancing Strategy for Coupled Inductor Flying Capacitor DC–DC Converter. Applied Sciences. 14(11). 4813–4813. 1 indexed citations
6.
Wu, Qiong, Dan Zhao, Liqiang Dong, et al.. (2024). The vibration isolation and sound radiation reduction characteristic of the micro-floating raft array skin. Archive of Applied Mechanics. 94(11). 3521–3534.
7.
Feng, Bao, et al.. (2024). Predicting postoperative prognosis in clear cell renal cell carcinoma using a multiphase CT-based deep learning model. Abdominal Radiology. 50(5). 2152–2159. 1 indexed citations
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9.
Cui, Jin, et al.. (2024). A Novel Dual-Branch Transformer With Gated Cross Attention for Remaining Useful Life Prediction of Bearings. IEEE Sensors Journal. 24(24). 41410–41423. 2 indexed citations
10.
Li, Zhang, et al.. (2023). A framework and method for equipment digital twin dynamic evolution based on IExATCN. Journal of Intelligent Manufacturing. 35(4). 1571–1583. 6 indexed citations
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Liu, Ziming, et al.. (2023). Modeling and Improvement for String-Based Drive Mechanism in Insect-like Flapping Wing Micro Air Vehicle. Applied Sciences. 13(24). 13209–13209. 2 indexed citations
14.
Cui, Jin, Dan Zhao, Shaogang Liu, et al.. (2022). Stability of boundary-layer flow over a skin made of porous compliant wall and micro floating raft arrays. Ships and Offshore Structures. 18(1). 130–141. 6 indexed citations
15.
Zhao, Dan, et al.. (2020). Vibration transfer characteristic of gradient-like structure based on magnetorheological fluid. Acta Physica Sinica. 69(9). 98301–98301. 1 indexed citations
16.
Cui, Jin, Lei Ren, Xiaokang Wang, & Zhang Li. (2019). Pairwise comparison learning based bearing health quantitative modeling and its application in service life prediction. Future Generation Computer Systems. 97. 578–586. 33 indexed citations
17.
Wang, Xiaoxiao, Liang Xiao, Yawen Zhou, et al.. (2018). Task state decoding and mapping of individual four-dimensional fMRI time series using deep neural network. arXiv (Cornell University). 4 indexed citations
18.
Ren, Lei, Jin Cui, Yaqiang Sun, & Xuejun Cheng. (2017). Multi-bearing remaining useful life collaborative prediction: A deep learning approach. Journal of Manufacturing Systems. 43. 248–256. 233 indexed citations
19.
Yang, Yang, et al.. (2012). Indoor Ultrasonic Positioning System Based on CDMA-TDOA and its Ultrasonic Signal Analysis. Advanced materials research. 472-475. 1017–1022. 1 indexed citations
20.
Cui, Jin. (2005). Operating Analysis of High Voltage Circuit Breaker in 1999 -2003. 6 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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