Zuqiang Su

877 total citations
39 papers, 670 citations indexed

About

Zuqiang Su is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zuqiang Su has authored 39 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 22 papers in Mechanical Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Zuqiang Su's work include Machine Fault Diagnosis Techniques (28 papers), Gear and Bearing Dynamics Analysis (15 papers) and Fault Detection and Control Systems (13 papers). Zuqiang Su is often cited by papers focused on Machine Fault Diagnosis Techniques (28 papers), Gear and Bearing Dynamics Analysis (15 papers) and Fault Detection and Control Systems (13 papers). Zuqiang Su collaborates with scholars based in China, United Kingdom and France. Zuqiang Su's co-authors include Baoping Tang, Ziran Liu, Yi Qin, Lei Deng, Kai Zheng, Bin Zhang, Tianliang Li, Hong Yu, Xiaoqing Tian and Tao Zhang and has published in prestigious journals such as IEEE Access, Sensors and Journal of Sound and Vibration.

In The Last Decade

Zuqiang Su

36 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zuqiang Su China 14 458 313 141 72 63 39 670
Song Fu China 12 478 1.0× 205 0.7× 153 1.1× 157 2.2× 47 0.7× 36 759
Jianhua Zhong China 14 522 1.1× 316 1.0× 170 1.2× 125 1.7× 56 0.9× 39 745
You Keshun China 13 337 0.7× 215 0.7× 120 0.9× 69 1.0× 27 0.4× 21 588
Xufeng Huang China 10 501 1.1× 370 1.2× 188 1.3× 138 1.9× 49 0.8× 24 796
Clemens Gühmann Germany 14 440 1.0× 348 1.1× 143 1.0× 104 1.4× 75 1.2× 89 783
Jialin Li China 12 490 1.1× 272 0.9× 192 1.4× 87 1.2× 29 0.5× 30 675
Myeongsu Kang United States 10 527 1.2× 302 1.0× 156 1.1× 50 0.7× 28 0.4× 16 673
Yang Zhao-jian China 17 262 0.6× 360 1.2× 165 1.2× 37 0.5× 30 0.5× 60 726
Yuanhang Wang China 17 717 1.6× 464 1.5× 229 1.6× 113 1.6× 35 0.6× 49 1.1k

Countries citing papers authored by Zuqiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Zuqiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuqiang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zuqiang Su. A scholar is included among the top collaborators of Zuqiang Su 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 Zuqiang Su. Zuqiang Su 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
2.
Han, Yan, Xiaolong Zhang, Zuqiang Su, Qingqing Huang, & Yan Zhang. (2025). An intelligent fault diagnosis of rotating machinery in class-incremental scenarios. Measurement Science and Technology. 36(4). 46204–46204. 3 indexed citations
3.
Feng, Song, et al.. (2024). Image-Based Debris Detector With a Circular Channel for Lube Oil High-Throughput Monitoring. IEEE Transactions on Instrumentation and Measurement. 73. 1–8. 1 indexed citations
4.
Su, Zuqiang, et al.. (2024). OPN: Open-Set Semi-Supervised Learning for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Sensors Journal. 24(22). 37332–37341. 2 indexed citations
5.
Guo, Yu, et al.. (2024). Defect quantification evaluation of a rolling element bearing based on physical modelling and instantaneous vibration energy investigation. Journal of Sound and Vibration. 600. 118875–118875. 2 indexed citations
6.
Su, Zuqiang, et al.. (2024). Stochastic Embedding Domain Generalization Network for Rotating Machinery Fault Diagnosis Under Unseen Operating Conditions. IEEE Sensors Journal. 24(11). 17846–17855. 4 indexed citations
7.
Su, Zuqiang, et al.. (2023). Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift. Knowledge-Based Systems. 282. 111106–111106. 5 indexed citations
8.
Feng, Song, et al.. (2023). A panoramic ferrograph for on-site detection of oil wear debris. Tribology International. 190. 109025–109025. 2 indexed citations
10.
Su, Zuqiang, et al.. (2023). Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 15 indexed citations
11.
Su, Zuqiang, et al.. (2022). RUL Prediction of Wind Turbine Gearbox Bearings Based on Self-Calibration Temporal Convolutional Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 74 indexed citations
12.
Su, Zuqiang, et al.. (2022). Fault diagnosis of rolling bearings based on multi-scale deep subdomain adaptation network. Journal of Intelligent & Fuzzy Systems. 43(1). 575–585. 3 indexed citations
13.
Wang, Xin, et al.. (2021). Detection and control of the morphology of TIG-metal fused coating additive manufacturing. Journal of Mechanical Science and Technology. 35(5). 2161–2166. 4 indexed citations
14.
Su, Zuqiang, et al.. (2020). A fault diagnosis model based on singular value manifold features, optimized SVMs and multi-sensor information fusion. Measurement Science and Technology. 31(9). 95002–95002. 36 indexed citations
15.
Zheng, Kai, Tianliang Li, Zuqiang Su, & Bin Zhang. (2020). Sparse Elitist Group Lasso Denoising in Frequency Domain for Bearing Fault Diagnosis. IEEE Transactions on Industrial Informatics. 17(7). 4681–4691. 65 indexed citations
16.
Liu, Fei, Qichun Ran, Miao Zhao, et al.. (2020). Additively Manufactured Continuous Cell-Size Gradient Porous Scaffolds: Pore Characteristics, Mechanical Properties and Biological Responses In Vitro. Materials. 13(11). 2589–2589. 72 indexed citations
17.
Luo, Jiufei, et al.. (2018). Fault diagnosis based on orthogonal semi-supervised LLTSA for feature extraction and Transductive SVM for fault identification. Journal of Intelligent & Fuzzy Systems. 34(6). 3499–3511. 5 indexed citations
18.
Su, Zuqiang, et al.. (2017). Machinery running state identification based on discriminant semi-supervised local tangent space alignment for feature fusion and extraction. Measurement Science and Technology. 28(5). 55009–55009. 8 indexed citations
19.
Su, Zuqiang. (2014). Fault Diagnosis Method Based on Orthogonal Semi-supervised Local Fisher Discriminant Analysis. Journal of Mechanical Engineering. 50(18). 7–7. 4 indexed citations
20.
lt, strong gt, Zuqiang Su, Baoping Tang, & Yao Jinbao. (2014). Fault diagnosis method based on sensitive feature selection and manifold learning dimension reduction. Zhendong yu chongji. 33(3). 70–75. 6 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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