Faye Zhang

1.1k total citations
82 papers, 802 citations indexed

About

Faye Zhang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Faye Zhang has authored 82 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 30 papers in Control and Systems Engineering and 25 papers in Mechanics of Materials. Recurrent topics in Faye Zhang's work include Machine Fault Diagnosis Techniques (26 papers), Ultrasonics and Acoustic Wave Propagation (17 papers) and Structural Health Monitoring Techniques (14 papers). Faye Zhang is often cited by papers focused on Machine Fault Diagnosis Techniques (26 papers), Ultrasonics and Acoustic Wave Propagation (17 papers) and Structural Health Monitoring Techniques (14 papers). Faye Zhang collaborates with scholars based in China, Thailand and United States. Faye Zhang's co-authors include Mingshun Jiang, Lei Zhang, Qingmei Sui, Chenhui Su, Jinxi Wang, Qingmei Sui, Shanshan Lv, Lei Jia, Dejun Feng and Shanshan Lv and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Access.

In The Last Decade

Faye Zhang

71 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faye Zhang China 17 273 268 259 167 159 82 802
Qingmei Sui China 17 413 1.5× 293 1.1× 116 0.4× 316 1.9× 80 0.5× 48 780
Shiyi Bao China 20 245 0.9× 559 2.1× 533 2.1× 98 0.6× 32 0.2× 81 1.0k
Peilin Zhang China 12 128 0.5× 359 1.3× 411 1.6× 63 0.4× 100 0.6× 44 656
Arturo Baltazar Mexico 15 654 2.4× 356 1.3× 54 0.2× 230 1.4× 89 0.6× 56 920
Jinwu Xu China 14 151 0.6× 426 1.6× 447 1.7× 89 0.5× 99 0.6× 40 809
Xiangchen Qian China 17 174 0.6× 365 1.4× 109 0.4× 81 0.5× 406 2.6× 64 772
Shizeng Lu China 12 250 0.9× 155 0.6× 103 0.4× 288 1.7× 157 1.0× 60 537
Khmais Bacha Tunisia 16 122 0.4× 344 1.3× 548 2.1× 62 0.4× 451 2.8× 42 882

Countries citing papers authored by Faye Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Faye Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faye Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Faye Zhang. A scholar is included among the top collaborators of Faye Zhang 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 Faye Zhang. Faye Zhang 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.
Lv, Shanshan, et al.. (2025). Transformer model combining cross-attention and self-attention guided by damage index for pipeline damage localization based on helical guided waves. Mechanical Systems and Signal Processing. 231. 112669–112669. 1 indexed citations
2.
3.
Jiang, Mingshun, et al.. (2024). Balance-blended adversarial distribution and smooth-suppressed labels refinement network for partial transfer fault diagnosis. Engineering Applications of Artificial Intelligence. 135. 108723–108723. 13 indexed citations
4.
Lv, Xuebin, et al.. (2024). Fault diagnosis of power transformers based on dissolved gas analysis and improved LightGBM hybrid integrated model with dual‐branch structure. IET Electric Power Applications. 18(12). 2008–2020. 1 indexed citations
5.
Liu, Fan, et al.. (2024). Novel short-term low-voltage load forecasting method based on residual stacking frequency attention network. Electric Power Systems Research. 233. 110534–110534. 1 indexed citations
6.
Zhang, Faye, et al.. (2024). Novel sparse auto-encoder framework with pseudo-labeled reinforcement for cross domain fault diagnosis with imbalanced samples. Measurement Science and Technology. 36(1). 16205–16205.
7.
Jiang, Mingshun, et al.. (2024). Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network. Structural durability & health monitoring. 19(2). 365–383. 1 indexed citations
8.
Guo, Weichao, Yilan Zhang, Peng Chang, et al.. (2023). A Novel Bearing Fault Diagnosis Method Based on Multifeature Fusion Attention-Guided Mechanism With Noise Robustness. IEEE Sensors Journal. 23(22). 28486–28499. 4 indexed citations
9.
Wang, Jinxi, Dejun Feng, Mingshun Jiang, et al.. (2023). Bearing fault diagnosis method based on maximum noise ratio kurtosis product deconvolution with noise conditions. Measurement. 221. 113542–113542. 26 indexed citations
10.
Wang, Jinxi, Peng Chang, Xiaobo Wu, et al.. (2023). Novel adaptive loss weighted transfer network for partial domain fault diagnosis. ISA Transactions. 145. 362–372. 16 indexed citations
11.
Wang, Jinxi, Xiangyi Geng, Lei Zhang, et al.. (2023). Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network. Measurement. 222. 113677–113677. 11 indexed citations
12.
Yao, Peng, Jinxi Wang, Faye Zhang, et al.. (2022). Intelligent rolling bearing imbalanced fault diagnosis based on Mel-Frequency Cepstrum Coefficient and Convolutional Neural Networks. Measurement. 205. 112143–112143. 22 indexed citations
13.
Wang, Jinxi, et al.. (2022). SWT-KELM-based rolling bearing fault diagnosis method under noise conditions with different SNRs. Measurement Science and Technology. 34(1). 15007–15007. 10 indexed citations
14.
Zhang, Yilan, Jinxi Wang, Faye Zhang, et al.. (2021). Intelligent fault diagnosis of rolling bearing using the ensemble self‐taught learning convolutional auto‐encoders. IET Science Measurement & Technology. 16(2). 130–147. 8 indexed citations
15.
Lv, Shanshan, et al.. (2020). Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network. IEEE Access. 8. 68974–68981. 1 indexed citations
16.
Jiang, Mingshun, et al.. (2020). Parameter optimization method for delamination defects detection of composite laminate using phased array ultrasonic. SHILAP Revista de lepidopterología. 1 indexed citations
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19.
Jin, Zhongwei, Mingshun Jiang, Qingmei Sui, Faye Zhang, & Lei Jia. (2014). Acoustic emission source linear localization based on an ultra-short FBGs sensing system. Photonic Sensors. 4(2). 152–155. 6 indexed citations
20.
Jiang, Mingshun, Junnan Wang, Zhongwei Jin, et al.. (2013). TiO_2 nanoparticle thin film-coated optical fiber Fabry-Perot sensor. Optics Express. 21(3). 3083–3083. 31 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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