Qinkai Han

6.6k total citations · 3 hit papers
153 papers, 5.1k citations indexed

About

Qinkai Han is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Qinkai Han has authored 153 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Mechanical Engineering, 83 papers in Control and Systems Engineering and 40 papers in Mechanics of Materials. Recurrent topics in Qinkai Han's work include Gear and Bearing Dynamics Analysis (58 papers), Tribology and Lubrication Engineering (44 papers) and Machine Fault Diagnosis Techniques (41 papers). Qinkai Han is often cited by papers focused on Gear and Bearing Dynamics Analysis (58 papers), Tribology and Lubrication Engineering (44 papers) and Machine Fault Diagnosis Techniques (41 papers). Qinkai Han collaborates with scholars based in China, Italy and United States. Qinkai Han's co-authors include Fulei Chu, Tianyang Wang, Xueping Xu, Zhaoye Qin, Tianyang Wang, Zhipeng Feng, Sai Ma, Yun Kong, Zhuang Ding and Zhike Peng and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Qinkai Han

147 papers receiving 5.0k citations

Hit Papers

Vibration based condition monitoring and fault diagnosis ... 2019 2026 2021 2023 2019 2024 2025 100 200 300 400

Peers

Qinkai Han
Lin Wang China
Peng Hao China
Jiong Tang United States
Junyi Cao China
Satish Nagarajaiah United States
G.R. Tomlinson United Kingdom
Qinkai Han
Citations per year, relative to Qinkai Han Qinkai Han (= 1×) peers Tianyang Wang

Countries citing papers authored by Qinkai Han

Since Specialization
Citations

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

Fields of papers citing papers by Qinkai Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinkai Han

This figure shows the co-authorship network connecting the top 25 collaborators of Qinkai Han. A scholar is included among the top collaborators of Qinkai Han 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 Qinkai Han. Qinkai Han 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.
Zhang, Jie, Yun Kong, Qinkai Han, et al.. (2025). Multimodal data imputation and fusion for trustworthy fault diagnosis of mechanical systems. Engineering Applications of Artificial Intelligence. 150. 110663–110663. 4 indexed citations
2.
Zhang, Xiantao, Yongfeng Yang, Qingyu Zhu, et al.. (2025). Vibration energy analysis of rub-impact rotor system: Nonlinear fault-induced energy response and transfer state. Mechanical Systems and Signal Processing. 236. 113035–113035.
3.
Kong, Yun, Qinkai Han, Tianyang Wang, et al.. (2024). An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions. Mechanical Systems and Signal Processing. 220. 111652–111652. 49 indexed citations breakdown →
4.
Gao, Shuai, et al.. (2024). Intelligent triboelectric V-belts with condition monitoring capability. Mechanical Systems and Signal Processing. 209. 111132–111132. 6 indexed citations
5.
Zhang, Liufeng, Jigang Feng, Feibin Zhang, et al.. (2024). A hybrid triboelectric-piezoelectric smart squirrel cage with self-sensing and self-powering capabilities. Nano Energy. 124. 109506–109506. 41 indexed citations
6.
Zhang, Jie, Yun Kong, Zhuyun Chen, et al.. (2024). CBAM-CRLSGAN: A novel fault diagnosis method for planetary transmission systems under small samples scenarios. Measurement. 234. 114795–114795. 20 indexed citations
7.
Wang, Song, Zheng Chen, Tianyang Wang, et al.. (2024). Tooth backlash inspired comb-shaped single-electrode triboelectric nanogenerator for self-powered condition monitoring of gear transmission. Nano Energy. 123. 109429–109429. 40 indexed citations
8.
Kong, Yun, Qinkai Han, Ke Chen, et al.. (2024). IF-EDAAN: An information fusion-enhanced domain adaptation attention network for unsupervised transfer fault diagnosis. Mechanical Systems and Signal Processing. 224. 112180–112180. 18 indexed citations
9.
Kong, Yun, Qinkai Han, Fulei Chu, Yechen Qin, & Mingming Dong. (2023). Spectral ensemble sparse representation classification approach for super-robust health diagnostics of wind turbine planetary gearbox. Renewable Energy. 219. 119373–119373. 11 indexed citations
10.
Xu, Xueping, et al.. (2023). A universal dynamic model and solution scheme for the electrical rotor system with wide range of eccentricity. International Journal of Non-Linear Mechanics. 152. 104402–104402. 5 indexed citations
11.
Ma, Sai, Qinkai Han, & Fulei Chu. (2023). Sparse representation learning for fault feature extraction and diagnosis of rotating machinery. Expert Systems with Applications. 232. 120858–120858. 34 indexed citations
12.
Zhang, Liufeng, et al.. (2023). Constrained layer damping for mitigating vibration of a rotating disk-drum coupled structure. Mechanical Systems and Signal Processing. 200. 110531–110531. 44 indexed citations
13.
Ma, Sai, et al.. (2023). Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis. Engineering Applications of Artificial Intelligence. 126. 106996–106996. 11 indexed citations
14.
Gao, Shuai, Qinkai Han, Paolo Pennacchi, Steven Chatterton, & Fulei Chu. (2022). Dynamic, thermal, and vibrational analysis of ball bearings with over-skidding behavior. Friction. 11(4). 580–601. 39 indexed citations
15.
Wang, Xu, Tianyang Wang, Anbo Ming, et al.. (2021). Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings. Chinese Journal of Mechanical Engineering. 34(1). 26 indexed citations
16.
Wang, Tianyang, et al.. (2020). Scaling-Basis Chirplet Transform. IEEE Transactions on Industrial Electronics. 68(9). 8777–8788. 160 indexed citations
17.
Han, Qinkai, et al.. (2020). Nonlinear Dynamic Analysis of Rotor-Bearing-Pedestal Systems With Multiple Fit Clearances. IEEE Access. 8. 26715–26725. 16 indexed citations
18.
Zhang, Liufeng, Xueping Xu, Qinkai Han, Zhaoye Qin, & Fulei Chu. (2019). Energy harvesting of beam vibration based on piezoelectric stacks. Smart Materials and Structures. 28(12). 125020–125020. 28 indexed citations
19.
Wang, Tianyang, Qinkai Han, Fulei Chu, & Zhipeng Feng. (2019). Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review. Mechanical Systems and Signal Processing. 126. 662–685. 425 indexed citations breakdown →
20.
Han, Qinkai, Hao Wu, Tao Hu, & Fulei Chu. (2018). Short-Term Wind Speed Forecasting Based on Signal Decomposing Algorithm and Hybrid Linear/Nonlinear Models. Energies. 11(11). 2976–2976. 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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