Zhilin Dong

563 total citations · 3 hit papers
18 papers, 378 citations indexed

About

Zhilin Dong is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zhilin Dong has authored 18 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Zhilin Dong's work include Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (11 papers) and Engineering Diagnostics and Reliability (5 papers). Zhilin Dong is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (11 papers) and Engineering Diagnostics and Reliability (5 papers). Zhilin Dong collaborates with scholars based in China and Australia. Zhilin Dong's co-authors include Lingli Cui, Dezun Zhao, Haiyang Pan, Jinde Zheng, Qing Ni, Tao Liu, Jun Zhang, Yonghua Jiang, Siqi Huang and Qingyun Liu and has published in prestigious journals such as Sensors, Mechanical Systems and Signal Processing and IEEE Internet of Things Journal.

In The Last Decade

Zhilin Dong

14 papers receiving 370 citations

Hit Papers

align trajectories

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.

An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform

2024 59 citations Zhilin Dong, Dezun Zhao et al. Nonlinear Dynamics profile →
Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

2025 26 citations Zhilin Dong, Yonghua Jiang et al. Advanced Engineering Informatics profile →
A robust filter and smoother-based expectation–maximization algorithm for bilinear systems with heavy-tailed noise

2025 23 citations Yonghua Jiang, Jianfeng Sun et al. Mechanical Systems and Signal Processing profile →

Peers

Zhilin Dong

CSE

EEE

Yongwu Cai China

Mingyue Yu China

Qiuyu Song China

Zhiqiang Liao China

Feibin Zhang China

Yadong Lu United States

Yuan Sheng-fa China

Shuting Wan China

Zhen Shi China

Rismaya Kumar Mishra India

Yongwu Cai China

Zhilin Dong

275 ×0.9

CSE

188 ×1.1

89 ×1.0

35 ×0.9

42 ×1.1

EEE

Citations per year, relative to Zhilin Dong Zhilin Dong (= 1×) peers Yongwu Cai

Countries citing papers authored by Zhilin Dong

Since Specialization

Citations

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

Fields of papers citing papers by Zhilin Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhilin Dong. A scholar is included among the top collaborators of Zhilin Dong 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 Zhilin Dong. Zhilin Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Jiang, Yonghua, et al.. (2025). A robust filter and smoother-based expectation–maximization algorithm for bilinear systems with heavy-tailed noise. Mechanical Systems and Signal Processing. 236. 112912–112912. 23 indexed citations breakdown →

Jiang, Yonghua, et al.. (2025). Domain Adversarial Generalized Networks for Real-Time Fault Diagnosis of Rolling Bearings Without the Need for Target Domain Samples. IEEE Internet of Things Journal. 1–1.

Jiang, Yonghua, et al.. (2025). A discriminator-free adversarial network for bearing fault diagnosis under unseen operating conditions. Applied Acoustics. 240. 110877–110877.

Lu, Mingkun, et al.. (2025). Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis. Machines. 13(3). 193–193.

Dong, Zhilin, Yonghua Jiang, Weidong Jiao, et al.. (2025). Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions. Advanced Engineering Informatics. 64. 103004–103004. 26 indexed citations breakdown →

Guan, Xin‐Yuan, Zhilin Dong, Hui Liu, & Qiang Li. (2025). Improving Phrase Segmentation in Symbolic Folk Music: A Hybrid Model with Local Context and Global Structure Awareness. Entropy. 27(5). 460–460.

Jiang, Yonghua, et al.. (2024). Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network. IEEE Sensors Journal. 25(1). 1978–1993. 8 indexed citations

Pan, Huilin, Zhilin Dong, Attiq Ur Rehman, et al.. (2024). MSTKernel Net: a rolling bearing intelligent diagnosis framework based on short-time time–frequency convolution. Measurement Science and Technology. 35(11). 116148–116148. 2 indexed citations

Dong, Zhilin, Dezun Zhao, & Lingli Cui. (2024). An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform. Nonlinear Dynamics. 112(8). 6439–6459. 59 indexed citations breakdown →

10.

Dong, Zhilin, et al.. (2024). SPRout-DBN: a cross domain bearing fault diagnosis method based on spatial pyramid pooling residual network-DBN. Measurement Science and Technology. 35(12). 125020–125020. 3 indexed citations

11.

Jiang, Yonghua, et al.. (2024). Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis. Applied Acoustics. 231. 110442–110442. 7 indexed citations

12.

Dong, Zhilin, Dezun Zhao, & Lingli Cui. (2024). Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit. Measurement Science and Technology. 35(8). 86001–86001. 19 indexed citations

13.

Dong, Zhilin, et al.. (2024). KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments. Sensors. 24(19). 6448–6448. 6 indexed citations

14.

Dong, Zhilin, Dezun Zhao, & Lingli Cui. (2023). Non-negative wavelet matrix factorization-based bearing fault intelligent classification method. Measurement Science and Technology. 34(11). 115013–115013. 29 indexed citations

15.

Cui, Lingli, et al.. (2023). Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets. Advanced Engineering Informatics. 59. 102322–102322. 54 indexed citations

16.

Ying, Wanming, et al.. (2022). Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing. Entropy. 24(2). 160–160. 25 indexed citations

17.

Zheng, Jinde, Zhilin Dong, Haiyang Pan, et al.. (2019). Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing. Measurement. 143. 69–80. 82 indexed citations

18.

Dong, Zhilin, Jinde Zheng, Siqi Huang, Haiyang Pan, & Qingyun Liu. (2019). Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing. Entropy. 21(6). 621–621. 35 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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