Zhilin Dong

563 citations

18 papers · 378 indexed · 3 hit papers · h-index 9

Control and Systems Engineering top 5%
- Machine Fault Diagnosis Techniques 16
- Fault Detection and Control Systems 4
Computational Mathematics
Mechanical Engineering top 10%
- Gear and Bearing Dynamics Analysis 11
Mechanics of Materials
- Engineering Diagnostics and Reliability 5
Industrial and Manufacturing Engineering
Computer Vision and Pattern Recognition
- Image and Signal Denoising Methods 1
Molecular Biology
- Machine Learning in Bioinformatics 1
Information Systems
- Advanced Decision-Making Techniques 1
Signal Processing
- Music and Audio Processing 1

Co-authors: Lingli Cui Dezun Zhao Haiyang Pan Jinde Zheng Qing NiTao LiuJun ZhangYonghua Jiang
Cited by: Control and Systems Engineering Computational Mathematics Mechanical Engineering
Journals: Measurement Science and Technology (4 papers)Advanced Engineering Informatics (2 papers)Applied Acoustics (2 papers)
Partner nations: China Australia

In The Last Decade

Zhilin Dong

14 papers receiving 370 citations

Hit Papers

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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.

2025 Advanced Engineering Informatics
2025 Mechanical Systems and Signal Processing
2024 Nonlinear Dynamics

Peers

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

The 25 scholars most cited alongside Zhilin Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhilin Dong Line = papers co-authored together Zhilin Dong links everyone, so they are left out of the graph.

All Works

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18 of 18 papers shown

#	Work
1	A robust filter and smoother-based expectation–maximization algorithm for bilinear systems with heavy-tailed noisebreakdown → Mechanical Systems and Signal Processing ·Chatura Jayasakera,Zixiang Jiang,Yonghua Jiang,Jianfeng Sun,Wanxiu Xu,Ihiro Uyama,Zhilin Dong,外山幸雄	2025	23
2	Domain Adversarial Generalized Networks for Real-Time Fault Diagnosis of Rolling Bearings Without the Need for Target Domain Samples IEEE Internet of Things Journal ·Yonghua Jiang,S. A. Muboyadzhyani,Zhilin Dong,Zhuoqi Shi,Weidong Jiao,天沼照夫,Jianfeng Sun,Olivia R. Hanson	2025	0
3	A discriminator-free adversarial network for bearing fault diagnosis under unseen operating conditions Applied Acoustics ·S. A. Muboyadzhyani,Yonghua Jiang,Chatura Jayasakera,Olivia R. Hanson,Zhuoqi Shi,Zhilin Dong,天沼照夫,Jianfeng Sun,Weidong Jiao	2025	0
4	Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis Machines ·正利嶋田,Mingkun Lu,Zhilin Dong,Tasha R. Stanton,Weidong Jiao,天沼照夫,Jianfeng Sun,Michael O. Lux	2025	0
5	Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditionsbreakdown → Advanced Engineering Informatics ·Zhilin Dong,Yonghua Jiang,Weidong Jiao,Feibin Zhang,Zhenya Wang,Jinfeng Huang,Geisa Fernanda Melo Pimentel,Kun Zhang	2025	26
6	Improving Phrase Segmentation in Symbolic Folk Music: A Hybrid Model with Local Context and Global Structure Awareness Entropy ·Xin‐Yuan Guan,Zhilin Dong,Hui Liu,Qiang Li	2025	0
7	Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network IEEE Sensors Journal ·Yonghua Jiang,Guillemette G.M. Merot,Zhuoqi Shi,Olivia R. Hanson,Zhilin Dong,Jianfeng Sun,天沼照夫,Weidong Jiao	2024	8
8	MSTKernel Net: a rolling bearing intelligent diagnosis framework based on short-time time–frequency convolution Measurement Science and Technology ·Huilin Pan,外山幸雄,Zhilin Dong,Attiq Ur Rehman,Wahib Arairo,Wenjie Wang,Jianfeng Sun,Yonghua Jiang	2024	2
9	An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transformbreakdown → Nonlinear Dynamics ·Zhilin Dong,Dezun Zhao,Lingli Cui	2024	59
10	SPRout-DBN: a cross domain bearing fault diagnosis method based on spatial pyramid pooling residual network-DBN Measurement Science and Technology ·Wahib Arairo,外山幸雄,Zhilin Dong,Attiq Ur Rehman,J. B. Chze,Yonghua Jiang,Jianfeng Sun	2024	3
11	Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis Applied Acoustics ·Yonghua Jiang,J. Vorlíček,Marthe Robert,Zhilin Dong,Weidong Jiao,Chao Tang,Jianfeng Sun,Michael O. Lux	2024	7
12	Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit Measurement Science and Technology ·Zhilin Dong,Dezun Zhao,Lingli Cui	2024	19
13	KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments Sensors ·Rodhiah Rodhiah,Zhilin Dong,Shuang Zhang	2024	6
14	Non-negative wavelet matrix factorization-based bearing fault intelligent classification method Measurement Science and Technology ·Zhilin Dong,Dezun Zhao,Lingli Cui	2023	29
15	Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets Advanced Engineering Informatics ·Lingli Cui,Zhilin Dong,Arnita Surieya Sangar,Dezun Zhao	2023	54
16	Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing Entropy ·Wanming Ying,Jinyu Tong,Zhilin Dong,Haiyang Pan,Sara M. Jorge,Jinde Zheng	2022	25
17	Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing Measurement ·Jinde Zheng,Zhilin Dong,Haiyang Pan,Qing Ni,Tao Liu,Jun Zhang	2019	82
18	Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing Entropy ·Zhilin Dong,Jinde Zheng,Siqi Huang,Haiyang Pan,Qingyun Liu	2019	35

About Zhilin Dong

Zhilin Dong is a scholar working on Control and Systems Engineering, Mechanical Engineering and Music, having authored 18 papers that have together received 378 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (11 papers), Engineering Diagnostics and Reliability (5 papers), Fault Detection and Control Systems (4 papers), Image and Signal Denoising Methods (1 paper), Machine Learning in Bioinformatics (1 paper), Advanced Decision-Making Techniques (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Control and Systems Engineering (310 citations), Computational Mathematics (3 citations) and Mechanical Engineering (172 citations). Zhilin Dong has collaborated with scholars based in China and Australia. Frequent co-authors include Lingli Cui, Dezun Zhao, Haiyang Pan, Jinde Zheng, Qing Ni, Tao Liu, Jun Zhang, Yonghua Jiang, Siqi Huang and Qingyun Liu. Their work appears in journals such as Measurement Science and Technology, Advanced Engineering Informatics, Applied Acoustics, Nonlinear Dynamics and IEEE Internet of Things Journal.

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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