Cunsong Wang

643 total citations
37 papers, 471 citations indexed

About

Cunsong Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Cunsong Wang has authored 37 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 10 papers in Mechanical Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Cunsong Wang's work include Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (12 papers) and Engineering Diagnostics and Reliability (6 papers). Cunsong Wang is often cited by papers focused on Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (12 papers) and Engineering Diagnostics and Reliability (6 papers). Cunsong Wang collaborates with scholars based in China, United Kingdom and Canada. Cunsong Wang's co-authors include Ningyun Lu, Yuehua Cheng, Bin Jiang, Chuang Chen, Bin Jiang, Senlin Wang, Zheng Zhu, Chuanyu Zhang, Yin Xing and Jiantao Shi and has published in prestigious journals such as Sensors, IEEE Transactions on Cybernetics and Mechanical Systems and Signal Processing.

In The Last Decade

Cunsong Wang

30 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cunsong Wang China 10 292 114 83 79 73 37 471
Manuel Arias Chao Switzerland 8 362 1.2× 136 1.2× 107 1.3× 62 0.8× 61 0.8× 17 584
Vepa Atamuradov France 8 254 0.9× 78 0.7× 111 1.3× 53 0.7× 46 0.6× 16 378
Leïla Hayet Mouss Algeria 12 259 0.9× 86 0.8× 92 1.1× 51 0.6× 41 0.6× 67 518
Tarek Berghout Algeria 16 412 1.4× 97 0.9× 116 1.4× 75 0.9× 57 0.8× 66 791
Seokgoo Kim South Korea 15 412 1.4× 105 0.9× 284 3.4× 124 1.6× 56 0.8× 29 626
Shunsuke Chigusa United States 12 441 1.5× 86 0.8× 95 1.1× 63 0.8× 55 0.8× 22 574
Emil Bjørlykhaug Norway 6 338 1.2× 127 1.1× 105 1.3× 81 1.0× 22 0.3× 8 462
Mansour Hajji Tunisia 14 426 1.5× 119 1.0× 99 1.2× 46 0.6× 63 0.9× 42 769
Tongxin Shu Canada 6 193 0.7× 70 0.6× 103 1.2× 55 0.7× 21 0.3× 9 387
Qianhui Wu China 7 245 0.8× 72 0.6× 95 1.1× 49 0.6× 30 0.4× 9 513

Countries citing papers authored by Cunsong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cunsong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunsong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Cunsong Wang. A scholar is included among the top collaborators of Cunsong Wang 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 Cunsong Wang. Cunsong Wang 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.
Chen, Chuang, Jiantao Shi, Dongdong Yue, et al.. (2025). A triple domain adversarial neural network for bearing fault diagnosis. Mechanical Systems and Signal Processing. 238. 113202–113202. 3 indexed citations
2.
Chen, Chuang, et al.. (2025). Noise-Resilient Bearing Fault Diagnosis via Hybrid Attention-Based Multiscale ScConv and Quaternion Transformer. IEEE Transactions on Instrumentation and Measurement. 74. 1–18. 1 indexed citations
3.
Wang, Cunsong, et al.. (2025). A Novel Lightweight Rotating Mechanical Fault Diagnosis Framework With Adaptive Residual Enhancement and Multigroup Coordinate Attention. IEEE Transactions on Instrumentation and Measurement. 74. 1–17. 2 indexed citations
4.
Liu, Yu, et al.. (2024). Finite-time adaptive fuzzy event-triggered control for nonlinear time-delay system with input quantization via command filter. Journal of the Franklin Institute. 361(18). 107254–107254. 1 indexed citations
5.
Wang, Cunsong, et al.. (2024). Prediction of chlorine residual in effluent based on SSA-SFA-CFBLS for water treatment process parameters. Measurement Science and Technology. 35(6). 65004–65004. 1 indexed citations
6.
Wang, Cunsong, Junjie Jiang, Heng Qi, Dengfeng Zhang, & Xiaodong Han. (2024). A Novel Temporal Fusion Channel Network with Multi-Channel Hybrid Attention for the Remaining Useful Life Prediction of Rolling Bearings. Processes. 12(12). 2762–2762.
7.
Lu, Ningyun, et al.. (2024). A Multi-scale Attention Mechanism Diagnosis Method with Adaptive Online Updating Based on Deep Learning under Variable Working Conditions. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 27(1). 1 indexed citations
8.
Chen, Chuang, Jiantao Shi, Lihang Feng, et al.. (2024). A Two-Stage Fault Diagnosis Method With Rough and Fine Classifiers for Phased Array Radar Transceivers. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 4 indexed citations
9.
Fu, Xing, et al.. (2023). A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis. Actuators. 12(5). 188–188. 7 indexed citations
10.
Wang, Cunsong, et al.. (2023). AE-LSTM-CNN Model based Tool Wear Monitoring. 1–6.
11.
Wang, Cunsong, et al.. (2023). Expert Experience and Data-Driven Based Hybrid Fault Diagnosis for High-Speed Wire Rod Finishing Mills. Computer Modeling in Engineering & Sciences. 138(2). 1827–1847. 2 indexed citations
12.
13.
Li, Yang, Lin‐Xing Xu, Xiuli Wang, & Cunsong Wang. (2023). Adaptive Output Feedback Control for Nonholonomic Chained Systems with Integral Input State Stability Inverse Dynamics. Sensors. 23(14). 6351–6351.
14.
Chen, Chuang, et al.. (2023). Pseudo-Label Guided Sparse Deep Belief Network Learning Method for Fault Diagnosis of Radar Critical Components. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 18 indexed citations
15.
Wang, Cunsong, et al.. (2022). Similarity-based probabilistic remaining useful life estimation for an aeroengine under variable operational conditions. Measurement Science and Technology. 33(11). 114011–114011. 7 indexed citations
16.
Lei, Xue, Ningyun Lu, Chuang Chen, & Cunsong Wang. (2022). An AVMD-DBN-ELM Model for Bearing Fault Diagnosis. Sensors. 22(23). 9369–9369. 10 indexed citations
17.
Chen, Chuang, Cunsong Wang, Ningyun Lu, Bin Jiang, & Yin Xing. (2021). A data-driven predictive maintenance strategy based on accurate failure prognostics. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 23(2). 387–394. 31 indexed citations
18.
Wang, Cunsong, Zheng Zhu, Ningyun Lu, Yuehua Cheng, & Bin Jiang. (2021). A data-driven degradation prognostic strategy for aero-engine under various operational conditions. Neurocomputing. 462. 195–207. 40 indexed citations
19.
Chen, Chuang, et al.. (2021). Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling. Sensors. 21(24). 8373–8373. 7 indexed citations
20.
Wang, Cunsong, Ningyun Lu, Yuehua Cheng, & Bin Jiang. (2019). A telemetry data based diagnostic health monitoring strategy for in-orbit spacecrafts with component degradation. Advances in Mechanical Engineering. 11(4). 5 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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