Qing Ni

4.7k total citations · 13 hit papers
72 papers, 3.6k citations indexed

About

Qing Ni is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Qing Ni has authored 72 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Control and Systems Engineering, 41 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Qing Ni's work include Machine Fault Diagnosis Techniques (54 papers), Gear and Bearing Dynamics Analysis (38 papers) and Fault Detection and Control Systems (18 papers). Qing Ni is often cited by papers focused on Machine Fault Diagnosis Techniques (54 papers), Gear and Bearing Dynamics Analysis (38 papers) and Fault Detection and Control Systems (18 papers). Qing Ni collaborates with scholars based in China, Australia and Canada. Qing Ni's co-authors include Ke Feng, Jinchen Ji, Michael Beer, Yongchao Zhang, Zheng Liu, Benjamin Halkon, Kesheng Wang, Yadong Xu, Jinde Zheng and Haiyang Pan and has published in prestigious journals such as IEEE Access, Frontiers in Immunology and Journal of Sound and Vibration.

In The Last Decade

Qing Ni

71 papers receiving 3.5k citations

Hit Papers

Digital twin-driven intelligent assessment of gear surfac... 2021 2026 2022 2024 2022 2022 2023 2023 2021 100 200 300 400

Peers

Qing Ni
Qing Ni
Citations per year, relative to Qing Ni Qing Ni (= 1×) peers Xiaoan Yan

Countries citing papers authored by Qing Ni

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ni. A scholar is included among the top collaborators of Qing Ni 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 Qing Ni. Qing Ni 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.
Chen, Zixu, et al.. (2025). Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing. 227. 112378–112378. 4 indexed citations
2.
Feng, Ke, et al.. (2025). A digital twin methodology for vibration-based monitoring and prediction of gear wear. Wear. 571. 205806–205806. 35 indexed citations breakdown →
3.
Chen, Zixu, Jinchen Ji, Wennian Yu, et al.. (2024). A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox. Measurement. 230. 114497–114497. 21 indexed citations
4.
Li, Hang, et al.. (2024). A novel cross-domain adaption network based on Se-Sk-DenseNet for remaining useful life prediction of rolling bearings under different working conditions. Measurement Science and Technology. 35(7). 76114–76114. 1 indexed citations
5.
Zhang, Junhong, et al.. (2024). Diesel engine fault diagnosis for multiple industrial scenarios based on transfer learning. Measurement. 228. 114338–114338. 20 indexed citations
6.
Yang, Yaocheng, et al.. (2024). Enhancing Time–Frequency Concentration and Accuracy Using an Improved Time–Frequency Synchrosqueezing Transform. IEEE Sensors Journal. 24(23). 39334–39343.
7.
Zhang, Yongchao, Jinchen Ji, Zhaohui Ren, et al.. (2023). Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing. Reliability Engineering & System Safety. 234. 109186–109186. 236 indexed citations breakdown →
8.
Ni, Qing, Jinchen Ji, Ke Feng, et al.. (2023). Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit. Reliability Engineering & System Safety. 242. 109753–109753. 104 indexed citations breakdown →
9.
Ren, Zhijun, Dawei Gao, Yongsheng Zhu, et al.. (2023). Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis. Engineering Applications of Artificial Intelligence. 124. 106542–106542. 23 indexed citations
10.
Feng, Ke, et al.. (2023). A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system. Wear. 522. 204697–204697. 111 indexed citations breakdown →
11.
Li, Sheng, Jinchen Ji, Yadong Xu, et al.. (2023). IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions. Reliability Engineering & System Safety. 237. 109387–109387. 42 indexed citations
12.
Guo, Baosu, Zhen Wang, Shuiquan Huang, et al.. (2023). Temporal convolutional approach with residual multi-head attention mechanism for remaining useful life of manufacturing tools. Engineering Applications of Artificial Intelligence. 128. 107538–107538. 16 indexed citations
13.
Xu, Yadong, Ke Feng, Xiaoan Yan, et al.. (2023). CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery. Information Fusion. 95. 1–16. 136 indexed citations breakdown →
14.
Feng, Ke, Qing Ni, Yuejian Chen, Jian Ge, & Zheng Liu. (2023). A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems. Structural Health Monitoring. 22(5). 3092–3108. 42 indexed citations
15.
Ni, Qing, Jinchen Ji, Benjamin Halkon, Ke Feng, & Asoke K. Nandi. (2023). Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics. Mechanical Systems and Signal Processing. 200. 110544–110544. 230 indexed citations breakdown →
16.
Jiang, Guang‐Jun, Dezhi Li, Ke Feng, et al.. (2023). Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network. 9 indexed citations
17.
Zheng, Jinde, et al.. (2022). Spectral envelope-based adaptive empirical Fourier decomposition method and its application to rolling bearing fault diagnosis. ISA Transactions. 129(Pt B). 476–492. 62 indexed citations
18.
Ni, Qing. (2013). A Clinical Observation on Qiyao Xiaoke Capsule Combined with Western Medicine for 146 Cases of Diabetic Nephropathy. Journal of traditional chinese medicine. 2 indexed citations
19.
Ni, Qing. (2013). Clinical observation of Qiyao Xiaoke Capsule treating early diabetic nephropathy with multi-center, randomized, double-blind and placebo control groups. Zhonghua zhongyiyao zazhi. 1 indexed citations
20.
Ni, Qing. (2006). Therapeutic effect of acupuncture on diabetic peripheral neuropathy. Journal of Beijing University of Traditional Chinese Medicine. 1 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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