Fei Jiang

702 total citations
38 papers, 512 citations indexed

About

Fei Jiang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Fei Jiang has authored 38 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 16 papers in Mechanical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Fei Jiang's work include Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (8 papers). Fei Jiang is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (8 papers). Fei Jiang collaborates with scholars based in China, Canada and Sweden. Fei Jiang's co-authors include Kang Ding, Guolin He, Zhaoqian Wu, Weihua Li, Shaohui Zhang, Zhuyun Chen, Zhenhai Zhang, Xuping Zhang, Honglang Li and Yalin Sun and has published in prestigious journals such as IEEE Access, Journal of Sound and Vibration and IEEE Transactions on Industrial Informatics.

In The Last Decade

Fei Jiang

33 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Jiang China 13 251 239 119 70 68 38 512
Xunshi Yan China 12 208 0.8× 133 0.6× 65 0.5× 52 0.7× 34 0.5× 23 353
Yigit Yucesan United States 10 204 0.8× 164 0.7× 82 0.7× 54 0.8× 46 0.7× 16 438
Xin Dong China 10 198 0.8× 166 0.7× 58 0.5× 23 0.3× 41 0.6× 22 353
Zhipeng Chen China 15 101 0.4× 268 1.1× 121 1.0× 60 0.9× 36 0.5× 62 598
Qiyang Xiao China 12 232 0.9× 272 1.1× 149 1.3× 33 0.5× 72 1.1× 20 629
Han Xiao China 14 248 1.0× 245 1.0× 247 2.1× 16 0.2× 61 0.9× 27 565
Jianguo Wang China 10 153 0.6× 138 0.6× 107 0.9× 31 0.4× 26 0.4× 33 323
Shengtong Zhou China 9 112 0.4× 112 0.5× 56 0.5× 23 0.3× 32 0.5× 23 292
Arinan Dourado United States 9 106 0.4× 108 0.5× 62 0.5× 33 0.5× 32 0.5× 20 307

Countries citing papers authored by Fei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Jiang. A scholar is included among the top collaborators of Fei Jiang 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 Fei Jiang. Fei Jiang 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.
Wu, Zhaoqian, et al.. (2025). MTSNN: A Few-Shot Fine-Grained Diagnosis Framework for Cross-Machine Fault Diagnosis With Heterogeneous Fault Categories. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 5 indexed citations
2.
Li, Jipu, et al.. (2025). Source-Free Progressive Domain Adaptation Network for Universal Cross-Domain Fault Diagnosis of Industrial Equipment. IEEE Sensors Journal. 25(5). 8067–8078. 2 indexed citations
3.
Zhang, Bin, et al.. (2025). Global-local contrastive learning: A multi-operating-condition guided approach for few-shot cross-domain bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 165. 113375–113375.
4.
Jiang, Fei, et al.. (2025). A tool wear monitoring method driven by workpiece surface quality inversion and EfficientNet. Measurement Science and Technology. 36(2). 26013–26013. 1 indexed citations
5.
Pan, Zuozhou, et al.. (2025). Novel rolling bearing state classification method based on probabilistic Jensen–Shannon divergence and decision fusion. Measurement Science and Technology. 36(4). 42001–42001. 2 indexed citations
6.
Pan, Zuozhou, Fei Jiang, Yiding Wu, et al.. (2025). Remaining useful life prediction of rolling-element bearings based on cumulative transformation and EResNet-KSLSTM network. Mechanical Systems and Signal Processing. 238. 113251–113251.
7.
Jiang, Fei, et al.. (2024). Vibration modulation features analysis of fixed-shaft gear train considering speed fluctuation and flexible transmission path based on signal convolution model. Mechanical Systems and Signal Processing. 211. 111250–111250. 3 indexed citations
8.
Jiang, Fei, et al.. (2024). Enhanced domain transfer deep fuzzy echo state network for rotating machinery fault diagnosis based on current signal. Applied Soft Computing. 165. 112033–112033. 14 indexed citations
9.
Lin, Huibin, Ding Li, Jipu Li, et al.. (2024). A novel gearbox local fault feature extraction method based on quality coefficient and dictionary learning. Measurement Science and Technology. 35(6). 65112–65112. 4 indexed citations
10.
Wu, Zhaoqian, et al.. (2024). An Improved Displacement Sensor Accuracy Calibration Method for Ball Screw Positioning Error Compensation. IEEE Sensors Journal. 24(20). 32499–32507. 1 indexed citations
11.
Liu, Zhongze, et al.. (2024). Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals. Advanced Engineering Informatics. 62. 102833–102833. 3 indexed citations
12.
Wu, Zhaoqian, et al.. (2024). Speed harmonic suppression of PMSM and its application in ball screw vibration suppression. Measurement Science and Technology. 35(12). 126124–126124. 1 indexed citations
13.
Jiang, Fei, et al.. (2024). CNCR-YOLO: A Comprehensive Optimization Strategy for Small-Target Defect Detection in Injection-Molded Parts. IEEE Sensors Journal. 24(21). 35954–35964. 4 indexed citations
14.
Jiang, Fei, et al.. (2024). Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation. Advanced Engineering Informatics. 61. 102460–102460. 33 indexed citations
15.
Jiang, Fei, et al.. (2024). Towards Enhanced Interpretability: A Mechanism-Driven domain adaptation model for bearing fault diagnosis across operating conditions. Mechanical Systems and Signal Processing. 225. 112244–112244. 17 indexed citations
16.
Zhang, Shaohui, et al.. (2024). Fault prediction of unmanned aerial vehicles based on entropy weight fusion and temporal graph convolutional network with non-Euclidian structure. Measurement Science and Technology. 35(5). 55105–55105. 2 indexed citations
17.
Jiang, Fei, Kang Ding, Shaohui Zhang, Zhaoqian Wu, & Guolin He. (2023). Vibration response mechanism of fixed-shaft gear train with cracks based on rigid-flexible coupling dynamics and signal convolution model. Mechanical Systems and Signal Processing. 198. 110417–110417. 19 indexed citations
18.
Li, Fan, Weiwei Zhang, Yahui Tian, et al.. (2023). Rotating Machinery State Recognition Based on Mel-Spectrum and Transfer Learning. Aerospace. 10(5). 480–480. 2 indexed citations
19.
Jiang, Fei, et al.. (2016). Natural gas accumulation models and enrichment patterns of the Huoshiling Fm reservoirs in the Xiaochengzi gas fi eld, Wangfu fault depression, Songliao Basin. Tianranqi gongye. 36(10). 55.
20.
Zhao, Xingwei, et al.. (2014). Backlash analysis of RV reducer based on Error Factor Sensitivity and Monte-Carlo Simulation. International Journal of Hybrid Information Technology. 7(2). 283–292. 21 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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