Baoqing Ding

540 total citations
24 papers, 423 citations indexed

About

Baoqing Ding is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Baoqing Ding has authored 24 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 6 papers in Civil and Structural Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Baoqing Ding's work include Machine Fault Diagnosis Techniques (15 papers), Fault Detection and Control Systems (8 papers) and Gear and Bearing Dynamics Analysis (6 papers). Baoqing Ding is often cited by papers focused on Machine Fault Diagnosis Techniques (15 papers), Fault Detection and Control Systems (8 papers) and Gear and Bearing Dynamics Analysis (6 papers). Baoqing Ding collaborates with scholars based in China and United States. Baoqing Ding's co-authors include Xuefeng Chen, Shibin Wang, Zhibin Zhao, Ruqiang Yan, Xingwu Zhang, Gaigai Cai, Tianfu Li, Xiaoli Zhang, Meng Ma and Ivan Selesnick and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

In The Last Decade

Baoqing Ding

19 papers receiving 412 citations

Peers

Baoqing Ding
Alessandro Paolo Daga Italy
Jiande Wu China
Yi Zang China
Zhenhui Zhan China
Yanfeng Li China
Qiuyang Zhou China
Lixiao Cao China
Alessandro Paolo Daga Italy
Baoqing Ding
Citations per year, relative to Baoqing Ding Baoqing Ding (= 1×) peers Alessandro Paolo Daga

Countries citing papers authored by Baoqing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Baoqing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoqing Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Baoqing Ding. A scholar is included among the top collaborators of Baoqing Ding 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 Baoqing Ding. Baoqing Ding 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.
Wang, Shibin, et al.. (2025). Fast sparse morphological decomposition with controllable sparsity for high-speed bearing fault diagnosis. Mechanical Systems and Signal Processing. 226. 112330–112330. 4 indexed citations
2.
3.
Wang, Zengkun, Zhibo Yang, Baijie Qiao, et al.. (2025). On the subspace selection and frequency identification of rotor blade vibration signal measured by blade tip timing. Chinese Journal of Aeronautics. 38(7). 103559–103559.
4.
Chen, Qi, Shibin Wang, Shuo Wang, et al.. (2025). Algorithm Unrolling Network With Learnable Sparse Regularization for Interpretable Mechanical Anomaly Detection. IEEE Transactions on Industrial Informatics. 21(5). 3786–3795. 1 indexed citations
5.
Ren, Haiwei, Baoqing Ding, Zhibin Zhao, et al.. (2025). Within and Among Wavelet-subband Sparse Decomposition For Bearing Fault Diagnosis. 1–6.
6.
Wang, Shuo, et al.. (2025). Unrolled sparse coding via lifting wavelet for interpretable intelligent fault diagnosis. Reliability Engineering & System Safety. 264. 111371–111371. 3 indexed citations
7.
Wang, Shibin, et al.. (2025). Multilevel Refinement Convolutional Dictionary Learning for High-Speed Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
8.
Shang, Zuogang, Jiaxin Ren, Zhibin Zhao, et al.. (2024). CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains. Reliability Engineering & System Safety. 251. 110381–110381. 6 indexed citations
9.
Ding, Baoqing, et al.. (2024). Time–Frequency Postprocessing Method Based on Generalized S-Transform and Its Application to Aeroengine Rotor System Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 3 indexed citations
10.
Cheng, Wei, et al.. (2024). Optimized Online Remaining Useful Life Prediction for Nuclear Circulating Water Pump Considering Time-Varying Degradation Mechanism. IEEE Transactions on Industrial Informatics. 20(9). 11057–11068. 5 indexed citations
11.
Wu, Yulin, et al.. (2022). Image Segmentation from Sparse Decomposition with a Pretrained Object-Detection Network. Electronics. 11(4). 639–639.
12.
Zhao, Zhibin, Tianfu Li, Shibin Wang, et al.. (2022). Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis. ISA Transactions. 129(Pt B). 644–662. 84 indexed citations
13.
Wang, Shibin, et al.. (2022). Reassignment-enable reweighted sparse time-frequency analysis for sparsity-assisted aeroengine rub-impact fault diagnosis. Mechanical Systems and Signal Processing. 183. 109602–109602. 30 indexed citations
14.
Cheng, Wei, et al.. (2022). AFARN: Domain Adaptation for Intelligent Cross-Domain Bearing Fault Diagnosis in Nuclear Circulating Water Pump. IEEE Transactions on Industrial Informatics. 19(3). 3229–3239. 54 indexed citations
15.
Wang, Fujin, Zhibin Zhao, Zhi Zhai, et al.. (2021). Remaining Useful Life Prediction of Lithium-ion Battery Based on Cycle-consistency Learning. 1–6. 3 indexed citations
16.
Zhao, Dong, et al.. (2020). Unsupervised Learning from Videos for Object Discovery in Single Images. Symmetry. 13(1). 38–38. 3 indexed citations
17.
Wang, Shibin, et al.. (2019). Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis. Mechanical Systems and Signal Processing. 127. 202–233. 49 indexed citations
18.
Ma, Meng, Xuefeng Chen, Xiaoli Zhang, Baoqing Ding, & Shibin Wang. (2017). Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings. IEEE Transactions on Reliability. 66(2). 467–477. 48 indexed citations
19.
Ding, Baoqing, Xuefeng Chen, Xingwu Zhang, Yu Zhang, & Ruqiang Yan. (2016). SVD-based dictionary learning for bearing fault diagnosis. 289. 1–4. 6 indexed citations
20.
Wang, Shibin, et al.. (2015). Nonlinear squeezing time–frequency transform for weak signal detection. Signal Processing. 113. 195–210. 78 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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