Yingkui Gu

1.9k total citations · 2 hit papers
63 papers, 1.3k citations indexed

About

Yingkui Gu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Yingkui Gu has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 31 papers in Mechanical Engineering and 15 papers in Mechanics of Materials. Recurrent topics in Yingkui Gu's work include Machine Fault Diagnosis Techniques (25 papers), Gear and Bearing Dynamics Analysis (22 papers) and Engineering Diagnostics and Reliability (11 papers). Yingkui Gu is often cited by papers focused on Machine Fault Diagnosis Techniques (25 papers), Gear and Bearing Dynamics Analysis (22 papers) and Engineering Diagnostics and Reliability (11 papers). Yingkui Gu collaborates with scholars based in China, Portugal and United Kingdom. Yingkui Gu's co-authors include Guangqi Qiu, You Keshun, Hong‐Zhong Huang, Junjie Chen, Jing Li, Xiaoping Du, Lei Zeng, Peng Huang, Yanjun Shen and Hong‐Zhong Huang and has published in prestigious journals such as IEEE Access, Sensors and Review of Scientific Instruments.

In The Last Decade

Yingkui Gu

57 papers receiving 1.3k citations

Hit Papers

Toward Efficient and Interpretative Rolling Bearing Fault... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingkui Gu China 19 748 506 279 183 149 63 1.3k
Samir Khan United Kingdom 15 662 0.9× 311 0.6× 203 0.7× 221 1.2× 206 1.4× 43 1.4k
Masoud Ghaffari United States 6 934 1.2× 431 0.9× 297 1.1× 309 1.7× 100 0.7× 18 1.3k
Yong-kuo Liu China 23 788 1.1× 233 0.5× 125 0.4× 118 0.6× 213 1.4× 97 1.5k
Hongfu Zuo China 20 747 1.0× 495 1.0× 297 1.1× 314 1.7× 105 0.7× 163 1.7k
Brigitte Chebel‐Morello France 14 1.3k 1.7× 757 1.5× 401 1.4× 308 1.7× 208 1.4× 33 1.7k
Andrew Hess United States 16 1.2k 1.6× 336 0.7× 238 0.9× 393 2.1× 186 1.2× 47 1.7k
Haiping Zhu China 22 1.3k 1.7× 730 1.4× 437 1.6× 431 2.4× 241 1.6× 80 2.2k
Huawei Wang China 17 653 0.9× 354 0.7× 224 0.8× 156 0.9× 132 0.9× 67 1.1k
Van Tung Tran South Korea 13 937 1.3× 491 1.0× 365 1.3× 193 1.1× 128 0.9× 31 1.3k
Khanh T.P. Nguyen France 16 573 0.8× 222 0.4× 163 0.6× 391 2.1× 90 0.6× 57 1.1k

Countries citing papers authored by Yingkui Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yingkui Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingkui Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingkui Gu. A scholar is included among the top collaborators of Yingkui Gu 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 Yingkui Gu. Yingkui Gu 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.
Qiu, Guangqi, et al.. (2025). A Novel Bearing Remaining Useful Life Prediction Methodology With Slope-Based Change Point Detection and WOA-Attention-BiLSTM Model. IEEE Sensors Journal. 25(6). 10417–10431. 2 indexed citations
2.
Keshun, You, et al.. (2024). A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME. Nonlinear Dynamics. 112(23). 20903–20940. 32 indexed citations
3.
Gu, Yingkui, et al.. (2024). Dynamic analysis of planetary gear transmission based on Lagrange interpolation polynomials. Measurement Science and Technology. 35(11). 116103–116103.
4.
Gu, Yingkui, et al.. (2024). A Hierarchical Fault Diagnosis Model for Planetary Gearbox With Shift-Invariant Dictionary and OMPAN. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 10(3).
5.
Chen, Junjie, et al.. (2024). A unified stiffness model of rolling lobe air spring with nonlinear structural parameters and air pressure dependence of rubber bellows. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 239(2-3). 407–431. 4 indexed citations
6.
Gu, Yingkui, et al.. (2024). A time‐varying meshing stiffness model for gears with mixed elastohydrodynamic lubrication based on load‐sharing. Quality and Reliability Engineering International. 40(4). 1461–1483. 4 indexed citations
7.
Keshun, You, Guangqi Qiu, & Yingkui Gu. (2023). Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning. Reliability Engineering & System Safety. 242. 109793–109793. 64 indexed citations
8.
Keshun, You, Guangqi Qiu, & Yingkui Gu. (2023). Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process. Measurement Science and Technology. 35(1). 15015–15015. 75 indexed citations
9.
Gu, Yingkui, et al.. (2023). A variable-speed-condition bearing fault diagnosis methodology with recurrence plot coding and MobileNet-v3 model. Review of Scientific Instruments. 94(3). 34710–34710. 12 indexed citations
10.
Keshun, You, Guangqi Qiu, & Yingkui Gu. (2023). A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models. IEEE Sensors Journal. 24(14). 21893–21905. 53 indexed citations
11.
Gu, Yingkui, et al.. (2023). A Lightweight Bearing Compound Fault Diagnosis Method With Gram Angle Field and Ghost-ResNet Model. IEEE Transactions on Reliability. 73(4). 1768–1781. 19 indexed citations
12.
Keshun, You, Guangqi Qiu, & Yingkui Gu. (2023). An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults. Measurement Science and Technology. 34(9). 94001–94001. 56 indexed citations
13.
Keshun, You, Guangqi Qiu, & Yingkui Gu. (2022). Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis. Sensors. 22(22). 8906–8906. 54 indexed citations
14.
Chen, Ronghua, et al.. (2022). Rolling bearing intelligent fault diagnosis method based on IPSO-WCNN. Measurement and Control. 56(3-4). 681–693. 9 indexed citations
15.
Gu, Yingkui, et al.. (2019). Fault tree analysis method based on probabilistic model checking and discrete time Markov Chain. Journal of Industrial and Production Engineering. 36(3). 146–153. 8 indexed citations
16.
Gu, Yingkui, et al.. (2019). Reliability calculation method based on the Copula function for mechanical systems with dependent failure. Annals of Operations Research. 311(1). 99–116. 29 indexed citations
17.
Gu, Yingkui, Wenfei Li, Jun Zhang, & Guangqi Qiu. (2019). Effects of Wear, Backlash, and Bearing Clearance on Dynamic Characteristics of a Spur Gear System. IEEE Access. 7. 117639–117651. 22 indexed citations
18.
Gu, Yingkui, et al.. (2019). Fault Diagnosis of Gearbox Based on Improved DUCG With Combination Weighting Method. IEEE Access. 7. 92955–92967. 8 indexed citations
19.
Gu, Yingkui, et al.. (2019). An improved FMEA analysis method based on QFD and TOPSIS theory. International Journal on Interactive Design and Manufacturing (IJIDeM). 13(2). 617–626. 18 indexed citations
20.
Gu, Yingkui, et al.. (2011). Fault Analysis for the Connecting Rod of an Engine. 30(2). 256–258.

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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