Junsheng Cheng

5.8k total citations · 4 hit papers
86 papers, 4.8k citations indexed

About

Junsheng Cheng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Junsheng Cheng has authored 86 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Control and Systems Engineering, 60 papers in Mechanical Engineering and 22 papers in Mechanics of Materials. Recurrent topics in Junsheng Cheng's work include Machine Fault Diagnosis Techniques (73 papers), Gear and Bearing Dynamics Analysis (59 papers) and Fault Detection and Control Systems (28 papers). Junsheng Cheng is often cited by papers focused on Machine Fault Diagnosis Techniques (73 papers), Gear and Bearing Dynamics Analysis (59 papers) and Fault Detection and Control Systems (28 papers). Junsheng Cheng collaborates with scholars based in China, Vietnam and Canada. Junsheng Cheng's co-authors include Yu Yang, Dejie Yu, Jinde Zheng, Haiyang Pan, Xin Li, Wenyi Huang, Jiashi Tang, Jian Cheng, Haidong Shao and Zehui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Junsheng Cheng

86 papers receiving 4.7k citations

Hit Papers

Application of EMD method and Hilbert spectrum to the fau... 2003 2026 2010 2018 2003 2019 2018 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junsheng Cheng China 37 4.0k 2.7k 1.3k 600 434 86 4.8k
Qingbo He China 46 3.9k 1.0× 2.6k 1.0× 1.2k 0.9× 1.1k 1.8× 684 1.6× 223 6.3k
Lingli Cui China 37 3.9k 1.0× 2.6k 1.0× 1.2k 0.9× 492 0.8× 328 0.8× 159 4.8k
Junsheng Cheng China 27 2.9k 0.7× 1.9k 0.7× 988 0.7× 337 0.6× 282 0.6× 75 3.6k
Minqiang Xu China 36 2.7k 0.7× 2.0k 0.7× 963 0.7× 342 0.6× 296 0.7× 136 4.1k
Ming Zhao China 41 5.1k 1.3× 3.6k 1.3× 1.6k 1.2× 972 1.6× 447 1.0× 165 6.4k
Baoping Tang China 44 5.6k 1.4× 3.4k 1.3× 1.8k 1.3× 940 1.6× 864 2.0× 209 7.7k
Xihui Liang Canada 34 2.5k 0.6× 3.0k 1.1× 1.0k 0.8× 365 0.6× 231 0.5× 114 4.5k
Changqing Shen China 41 5.6k 1.4× 3.4k 1.2× 1.8k 1.3× 633 1.1× 414 1.0× 199 6.8k
René–Vinicio Sánchez Ecuador 30 3.2k 0.8× 2.1k 0.8× 1.2k 0.9× 283 0.5× 303 0.7× 112 4.3k
Xiaoan Yan China 36 3.0k 0.8× 1.9k 0.7× 1.1k 0.8× 331 0.6× 348 0.8× 94 4.0k

Countries citing papers authored by Junsheng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Junsheng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junsheng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Junsheng Cheng. A scholar is included among the top collaborators of Junsheng Cheng 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 Junsheng Cheng. Junsheng Cheng 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.
Cheng, Junsheng, et al.. (2024). A novel joint denoising method for gear fault diagnosis with improved quaternion singular value decomposition. Measurement. 226. 114165–114165. 16 indexed citations
2.
Wu, Zhantao, et al.. (2024). Surface defect detection of steel strip at low resolution based on SAC-YOLOv5. Measurement Science and Technology. 36(1). 16234–16234. 3 indexed citations
3.
Cheng, Jian, Yu Yang, Haidong Shao, & Junsheng Cheng. (2023). Symplectic period mode decomposition method and its application in fault diagnosis of rolling bearing. Journal of Vibration and Control. 30(9-10). 1889–1911. 3 indexed citations
4.
Wu, Zhantao, et al.. (2023). Improved ALIF and its application to rolling bearing fault diagnosis. Measurement Science and Technology. 35(1). 15902–15902. 3 indexed citations
5.
Zhou, Jie, Yu Yang, Ping Wang, Jian Wang, & Junsheng Cheng. (2023). Multivariate local fluctuation mode decomposition and its application to gear fault diagnosis. Measurement. 214. 112769–112769. 11 indexed citations
7.
Shao, Haidong, et al.. (2022). Clustering-Guided Novel Unsupervised Domain Adversarial Network for Partial Transfer Fault Diagnosis of Rotating Machinery. IEEE Sensors Journal. 22(14). 14387–14396. 34 indexed citations
8.
Han, Song-Yu, Haidong Shao, Junsheng Cheng, Xingkai Yang, & Baoping Cai. (2022). Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information. IEEE/ASME Transactions on Mechatronics. 28(1). 340–349. 133 indexed citations breakdown →
9.
Pan, Haiyang, Yu Yang, Jinde Zheng, Xin Li, & Junsheng Cheng. (2020). Symplectic interactive support matrix machine and its application in roller bearing condition monitoring. Neurocomputing. 398. 1–10. 16 indexed citations
11.
Peng, Yanfeng, et al.. (2019). Roller Bearing Fault Diagnosis Based on Adaptive Sparsest Narrow‐Band Decomposition and MMC‐FCH. Shock and Vibration. 2019(1). 3 indexed citations
12.
Huang, Wenyi, et al.. (2019). An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis. Neurocomputing. 359. 77–92. 269 indexed citations breakdown →
13.
Pan, Haiyang, Yu Yang, Jinde Zheng, Xin Li, & Junsheng Cheng. (2019). A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine. Mechanism and Machine Theory. 140. 31–43. 45 indexed citations
14.
Pan, Haiyang, Yu Yang, Xin Li, Jinde Zheng, & Junsheng Cheng. (2018). Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis. Mechanical Systems and Signal Processing. 114. 189–211. 239 indexed citations breakdown →
15.
Le, DucHieu, et al.. (2017). Gear Fault Diagnosis Method Based on Local Characteristic-Scale Decomposition Multi-Scale Permutation Entropy and Radial Basis Function Network. Journal of Computational and Theoretical Nanoscience. 14(10). 5054–5063. 5 indexed citations
16.
Cheng, Junsheng, et al.. (2016). A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery. Shock and Vibration. 2016. 1–10. 5 indexed citations
17.
Peng, Yanfeng, Junsheng Cheng, Yu Yang, & Baoqing Li. (2016). Adaptive sparsest narrow-band decomposition method and its applications to rotor fault diagnosis. Measurement. 91. 451–459. 16 indexed citations
18.
Zeng, Ming, Yu Yang, Jinde Zheng, & Junsheng Cheng. (2014). Normalized complex Teager energy operator demodulation method and its application to fault diagnosis in a rubbing rotor system. Mechanical Systems and Signal Processing. 50-51. 380–399. 24 indexed citations
19.
Cheng, Junsheng, Dejie Yu, Jiashi Tang, & Yu Yang. (2009). Application of SVM and SVD Technique Based on EMD to the Fault Diagnosis of the Rotating Machinery. SHILAP Revista de lepidopterología. 63 indexed citations
20.
Cheng, Junsheng, Dejie Yu, & Yu Yang. (2005). Application of support vector regression machines to the processing of end effects of Hilbert–Huang transform. Mechanical Systems and Signal Processing. 21(3). 1197–1211. 123 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026