Linlin Kou

648 total citations
27 papers, 477 citations indexed

About

Linlin Kou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Linlin Kou has authored 27 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Linlin Kou's work include Machine Fault Diagnosis Techniques (14 papers), Gear and Bearing Dynamics Analysis (8 papers) and Fault Detection and Control Systems (5 papers). Linlin Kou is often cited by papers focused on Machine Fault Diagnosis Techniques (14 papers), Gear and Bearing Dynamics Analysis (8 papers) and Fault Detection and Control Systems (5 papers). Linlin Kou collaborates with scholars based in China, Canada and Hong Kong. Linlin Kou's co-authors include Yong Qin, Xuejun Zhao, Yang Zhao, Dong Wang, Kwok‐Leung Tsui, Wentao Mao, Xihui Liang, Limin Jia, Changbo He and Gangsheng Wang and has published in prestigious journals such as Sensors, IEEE Transactions on Vehicular Technology and Mechanical Systems and Signal Processing.

In The Last Decade

Linlin Kou

25 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linlin Kou China 12 317 210 89 75 61 27 477
Joon Ha Jung South Korea 13 498 1.6× 301 1.4× 171 1.9× 62 0.8× 98 1.6× 25 657
Meng Rao Canada 10 319 1.0× 251 1.2× 101 1.1× 50 0.7× 64 1.0× 24 504
S.A. Al-Araimi Oman 6 449 1.4× 315 1.5× 146 1.6× 54 0.7× 90 1.5× 8 671
Daoming She China 12 511 1.6× 297 1.4× 161 1.8× 34 0.5× 96 1.6× 25 674
Bo Jing China 12 237 0.7× 163 0.8× 83 0.9× 41 0.5× 57 0.9× 79 492
Jong-Duk Son South Korea 7 320 1.0× 215 1.0× 103 1.2× 74 1.0× 30 0.5× 12 446
Beike Zhang China 11 528 1.7× 288 1.4× 163 1.8× 32 0.4× 120 2.0× 35 737
Yunkai Wu China 12 417 1.3× 136 0.6× 31 0.3× 45 0.6× 78 1.3× 35 611
Xiaojian Xu China 5 200 0.6× 90 0.4× 85 1.0× 15 0.2× 75 1.2× 7 351

Countries citing papers authored by Linlin Kou

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Kou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlin Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Linlin Kou. A scholar is included among the top collaborators of Linlin Kou 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 Linlin Kou. Linlin Kou 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.
Xu, Yadong, Sheng Li, Ke Feng, et al.. (2025). Multiperspective Temporal Pooling Convolutional Neural Networks for Fault Diagnosis of Mechanical Transmission Systems. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 2 indexed citations
2.
Mao, Wentao, Na Wang, Linlin Kou, & Ke Feng. (2025). Wavelet Scattering Transformer: A Robust Rail Corrugation Detection Method Under Varying Speed Condition Based on Multiscale Time–Frequency Feature Representation. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.
3.
Qin, Yong, et al.. (2025). Segmented-Aggregated Framework With Internal–External Constraint Mechanism for Unsupervised Track Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations
4.
Kou, Linlin, et al.. (2025). Whether, How and When Do Artificial Intelligence Technologies Improve Enterprise Total Factor Productivity?. 網際網路技術學刊. 26(2). 241–253.
5.
Xu, Yadong, Xiaoan Yan, Beibei Sun, et al.. (2023). Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems. IEEE Transactions on Transportation Electrification. 10(2). 4421–4431. 24 indexed citations
6.
Mao, Wentao, Gangsheng Wang, Linlin Kou, & Xihui Liang. (2023). Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. IEEE/CAA Journal of Automatica Sinica. 10(2). 524–546. 31 indexed citations
7.
Mao, Wentao, et al.. (2023). A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 14 indexed citations
8.
Kou, Linlin, et al.. (2022). An Automatic Partition Time-Varying Markov Model for Reliability Evaluation. Applied Sciences. 12(12). 5933–5933. 7 indexed citations
10.
Kou, Linlin, Jiaxian Chen, Yong Qin, & Wentao Mao. (2022). The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. Sensors. 22(15). 5681–5681. 8 indexed citations
11.
Qin, Yong, Linlin Kou, Xuejun Zhao, et al.. (2022). Research on Active Safety Methodologies for Intelligent Railway Systems. Engineering. 27. 266–279. 20 indexed citations
12.
Qin, Yong, et al.. (2019). Operational risk assessment of railway train based on type-2 intuitionistic fuzzy set and dynamic VIKOR approach. Journal of Transportation Safety & Security. 13(10). 1025–1046. 7 indexed citations
13.
Kou, Linlin, et al.. (2019). A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie. IEEE Transactions on Vehicular Technology. 69(3). 2513–2524. 63 indexed citations
14.
Qin, Yong, et al.. (2019). Reliability Analysis of Bogie System Based on Complex Network and Failure Propagation. 9. 564–569. 1 indexed citations
15.
Zhao, Xuejun, Yong Qin, Changbo He, Limin Jia, & Linlin Kou. (2019). Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum. Entropy. 21(1). 50–50. 39 indexed citations
16.
Kou, Linlin, et al.. (2018). Integrating synthetic minority oversampling and gradient boosting decision tree for bogie fault diagnosis in rail vehicles. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 233(3). 312–325. 28 indexed citations
17.
Kou, Linlin, et al.. (2018). Multistate Reliability Evaluation of Bogie on High Speed Railway Vehicle Based on the Network Flow Theory. International Journal of Software Engineering and Knowledge Engineering. 28(4). 431–451. 8 indexed citations
18.
Wang, Zhipeng, Limin Jia, Linlin Kou, & Yong Qin. (2018). Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions. Sensors. 18(6). 1705–1705. 14 indexed citations
19.
Qin, Yong, Lei Zhu, Zhenyu Zhang, Linlin Kou, & Xiaoqing Cheng. (2015). Railway Disaster Prevention and Snow Survey Design Optimization Technology. The Open Automation and Control Systems Journal. 7(1). 1895–1902. 1 indexed citations
20.
Qin, Yong, Zhenyu Zhang, Xinwang Liu, Man Li, & Linlin Kou. (2015). Dynamic risk assessment of metro station with interval type-2 fuzzy set and TOPSIS method. Journal of Intelligent & Fuzzy Systems. 29(1). 93–106. 26 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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