Weiwei Qian

1.1k total citations · 1 hit paper
28 papers, 943 citations indexed

About

Weiwei Qian is a scholar working on Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Weiwei Qian has authored 28 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 15 papers in Mechanics of Materials and 12 papers in Mechanical Engineering. Recurrent topics in Weiwei Qian's work include Machine Fault Diagnosis Techniques (21 papers), Engineering Diagnostics and Reliability (13 papers) and Gear and Bearing Dynamics Analysis (11 papers). Weiwei Qian is often cited by papers focused on Machine Fault Diagnosis Techniques (21 papers), Engineering Diagnostics and Reliability (13 papers) and Gear and Bearing Dynamics Analysis (11 papers). Weiwei Qian collaborates with scholars based in China. Weiwei Qian's co-authors include Shunming Li, Jinrui Wang, Xingxing Jiang, Zenghui An, Shanshan Ji, Pengxing Yi, Kaicheng Zhang, Jiantao Lu, Rongqing Cui and Yu Xin and has published in prestigious journals such as IEEE Access, Pattern Recognition and International Journal of Biological Macromolecules.

In The Last Decade

Weiwei Qian

27 papers receiving 910 citations

Hit Papers

Batch-normalized deep neural networks for achieving fast ... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines
    2018 219 citations Jinrui Wang, Shunming Li et al. Neurocomputing profile →

Peers

Weiwei Qian
Kun Xu China
Xingkai Yang Canada
Zhongkui Zhu China
Maogui Niu China
Yiyao An China
Huaiqian Bao China
Zihao Lei China
Meng Hee Lim Malaysia
Kun Xu China
Weiwei Qian
Citations per year, relative to Weiwei Qian Weiwei Qian (= 1×) peers Kun Xu

Countries citing papers authored by Weiwei Qian

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Qian. A scholar is included among the top collaborators of Weiwei Qian 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 Weiwei Qian. Weiwei Qian 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.
Yu, Biao, Zhenyu Lu, & Weiwei Qian. (2025). Wavelet-denoised graph-Informer for accurate and stable wind speed prediction. Applied Soft Computing. 176. 113182–113182. 4 indexed citations
2.
Wang, Luping, et al.. (2025). Brain abundant membrane attached signal protein 1 regulates macrophage polarization through EGFR/PI3K/AKT signaling in renal cell carcinoma. International Journal of Biological Macromolecules. 330(Pt 4). 148268–148268.
3.
Huang, Xin, et al.. (2024). A hybrid transformer masked time-domain denoising network for vibration signals. Measurement Science and Technology. 36(1). 16193–16193. 4 indexed citations
4.
Qian, Weiwei, et al.. (2024). Bearing Fault Diagnosis Based on Fourier Convolution Kolmogorov-Arnold Networks. 1–5. 1 indexed citations
5.
Lu, Jiantao, et al.. (2023). An Improved Underdetermined Blind Source Separation Method for Insufficiently Sparse Sources. Circuits Systems and Signal Processing. 42(12). 7615–7639. 3 indexed citations
6.
Qian, Weiwei, Shunming Li, & Jiantao Lu. (2022). Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions. IEEE Transactions on Industrial Informatics. 18(12). 8540–8550. 9 indexed citations
7.
Lu, Jiantao, Weiwei Qian, Shunming Li, & Rongqing Cui. (2021). Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery. Applied Sciences. 11(3). 919–919. 91 indexed citations
8.
Qian, Weiwei, et al.. (2021). Multidimensional Data Modeling and Model Validation for Digital Twin Workshop. Journal of Computing and Information Science in Engineering. 21(3). 20 indexed citations
9.
Qian, Weiwei & Shunming Li. (2020). A novel class imbalance-robust network for bearing fault diagnosis utilizing raw vibration signals. Measurement. 156. 107567–107567. 37 indexed citations
10.
Xu, Kun, et al.. (2019). A novel convolutional transfer feature discrimination network for unbalanced fault diagnosis under variable rotational speeds. Measurement Science and Technology. 30(10). 105107–105107. 31 indexed citations
11.
Qian, Weiwei, Shunming Li, Pengxing Yi, & Kaicheng Zhang. (2019). A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions. Measurement. 138. 514–525. 141 indexed citations
12.
Qian, Weiwei, Shunming Li, & Xingxing Jiang. (2019). Deep transfer network for rotating machine fault analysis. Pattern Recognition. 96. 106993–106993. 62 indexed citations
13.
Wang, Jinrui, Shunming Li, Baokun Han, et al.. (2018). Construction of a batch-normalized autoencoder network and its application in mechanical intelligent fault diagnosis. Measurement Science and Technology. 30(1). 15106–15106. 57 indexed citations
14.
Qian, Weiwei, et al.. (2018). A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis. Neurocomputing. 320. 129–140. 30 indexed citations
15.
Qian, Weiwei, Shunming Li, & Jinrui Wang. (2018). A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions. IEEE Access. 6. 69907–69917. 81 indexed citations
16.
17.
Qian, Weiwei, Shunming Li, Jinrui Wang, Zenghui An, & Xingxing Jiang. (2018). An intelligent fault diagnosis method of rotating machinery using L1-regularized sparse filtering. Journal of Vibroengineering. 20(8). 2839–2854. 11 indexed citations
18.
An, Zenghui, et al.. (2018). An Intelligent Fault Diagnosis Approach Considering the Elimination of the Weight Matrix Multi-Correlation. Applied Sciences. 8(6). 906–906. 11 indexed citations
19.
Qian, Weiwei. (2012). Horizontal Ultimate Bearing Capacity Test of High Strength Reinforced Concrete Shaft Lining. 1 indexed citations
20.
Qian, Weiwei. (2007). Construction of conjugate eigenfunctions and its application for a class of acoustical waveguides with PML. Journal of Zhejiang University(Science Edition). 2 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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