You Keshun

899 total citations · 2 hit papers
21 papers, 588 citations indexed

About

You Keshun is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, You Keshun has authored 21 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 4 papers in Mechanics of Materials. Recurrent topics in You Keshun's work include Machine Fault Diagnosis Techniques (11 papers), Gear and Bearing Dynamics Analysis (7 papers) and Mineral Processing and Grinding (4 papers). You Keshun is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Gear and Bearing Dynamics Analysis (7 papers) and Mineral Processing and Grinding (4 papers). You Keshun collaborates with scholars based in China. You Keshun's co-authors include Yingkui Gu, Guangqi Qiu, Huizhong Liu, Peng Huang, Ronghua Chen, Xianfei Xie, Yajun Wang, Yin Li and Jiahao Li and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

You Keshun

20 papers receiving 566 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
You Keshun China 13 337 215 120 69 61 21 588
Zuqiang Su China 14 458 1.4× 313 1.5× 141 1.2× 72 1.0× 52 0.9× 39 670
Prashant Kumar South Korea 16 405 1.2× 210 1.0× 133 1.1× 56 0.8× 37 0.6× 35 630
Song Fu China 12 478 1.4× 205 1.0× 153 1.3× 157 2.3× 31 0.5× 36 759
Chenyu Liu China 11 368 1.1× 242 1.1× 108 0.9× 107 1.6× 23 0.4× 32 547
Changchang Che China 14 509 1.5× 287 1.3× 193 1.6× 96 1.4× 24 0.4× 30 739
Xuejun Cheng China 5 300 0.9× 156 0.7× 90 0.8× 68 1.0× 22 0.4× 20 445
Prasanna Tamilselvan United States 7 427 1.3× 218 1.0× 139 1.2× 83 1.2× 25 0.4× 14 608
Alexander E. Prosvirin South Korea 15 514 1.5× 338 1.6× 183 1.5× 68 1.0× 27 0.4× 21 673

Countries citing papers authored by You Keshun

Since Specialization
Citations

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

Fields of papers citing papers by You Keshun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of You Keshun

This figure shows the co-authorship network connecting the top 25 collaborators of You Keshun. A scholar is included among the top collaborators of You Keshun 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 You Keshun. You Keshun 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.
Keshun, You, et al.. (2026). A liquid-impulse neural network model based on heterogeneous fusion of multimodal information for interpretable rotating machinery fault diagnosis. Mechanical Systems and Signal Processing. 246. 113923–113923. 1 indexed citations
3.
Keshun, You, et al.. (2025). An adaptive point cloud registration method with self-cross attention and hierarchical correspondence filtering. Optics & Laser Technology. 184. 112384–112384. 1 indexed citations
4.
Keshun, You, et al.. (2025). A novel physical constraint-guided quadratic neural networks for interpretable bearing fault diagnosis under zero-fault sample. Nondestructive Testing And Evaluation. 1–31. 6 indexed citations
5.
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
6.
Keshun, You, et al.. (2024). Toward Efficient and Interpretative Rolling Bearing Fault Diagnosis via Quadratic Neural Network With Bi-LSTM. IEEE Internet of Things Journal. 11(13). 23002–23019. 71 indexed citations breakdown →
7.
Gu, Yingkui, et al.. (2024). An adaptive acoustic signal reconstruction and fault diagnosis method for rolling bearings based on SSDAE–MobileViT. Measurement Science and Technology. 36(1). 16190–16190. 2 indexed citations
8.
Keshun, You, et al.. (2024). A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis. Reliability Engineering & System Safety. 253. 110556–110556. 46 indexed citations breakdown →
9.
Keshun, You, et al.. (2024). An adaptive multi-scale point cloud filtering method for feature information retention. Optics and Lasers in Engineering. 177. 108144–108144. 7 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
Keshun, You & Huizhong Liu. (2023). Feature detection of mineral zoning in spiral slope flow under complex conditions based on improved YOLOv5 algorithm. Physica Scripta. 99(1). 16001–16001. 31 indexed citations
15.
Keshun, You & Huizhong Liu. (2023). Research on optimization of control parameters of gravity shaking table. Scientific Reports. 13(1). 12 indexed citations
16.
Li, Jiahao, et al.. (2023). An end-end arrhythmia diagnosis model based on deep learning neural network with multi-scale feature extraction. Physical and Engineering Sciences in Medicine. 46(3). 1341–1352. 1 indexed citations
17.
Keshun, You, et al.. (2023). Research on intelligent implementation of the beneficiation process of shaking table. Minerals Engineering. 199. 108108–108108. 25 indexed citations
18.
Keshun, You & Huizhong Liu. (2023). Intelligent Deployment Solution for Tabling Adapting Deep Learning. IEEE Access. 11. 22201–22208. 14 indexed citations
19.
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
20.
Liu, Huizhong & You Keshun. (2022). Optimization of dewatering process of concentrate pressure filtering by support vector regression. Scientific Reports. 12(1). 7135–7135. 9 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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