Yonghua Jiang

1.4k total citations · 2 hit papers
73 papers, 1.0k citations indexed

About

Yonghua Jiang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yonghua Jiang has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Control and Systems Engineering, 28 papers in Mechanical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yonghua Jiang's work include Machine Fault Diagnosis Techniques (22 papers), Gear and Bearing Dynamics Analysis (18 papers) and Fault Detection and Control Systems (8 papers). Yonghua Jiang is often cited by papers focused on Machine Fault Diagnosis Techniques (22 papers), Gear and Bearing Dynamics Analysis (18 papers) and Fault Detection and Control Systems (8 papers). Yonghua Jiang collaborates with scholars based in China, Italy and Germany. Yonghua Jiang's co-authors include Baoping Tang, Weidong Jiao, Gang Li, Zhonghua Zhang, Yi Qin, Wenyi Liu, Wenyi Liu, Wanxiu Xu, Shuyun Wang and Jianfeng Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Energy and IEEE Access.

In The Last Decade

Yonghua Jiang

60 papers receiving 978 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.

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. 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

Countries citing papers authored by Yonghua Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Yonghua Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghua Jiang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep learning in industrial machinery: A critical review of bearing fault classification methods 2025 ·Applied Soft Computing ·Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, Jianan Wei, Muhammad Sohaib, Jianfeng Sun, E Shiju, (unknown), (unknown)	6
2	A robust filter and smoother-based expectation–maximization algorithm for bilinear systems with heavy-tailed noise breakdown → 2025 ·Mechanical Systems and Signal Processing ·(unknown), (unknown), Yonghua Jiang, Jianfeng Sun, Wanxiu Xu, (unknown), Zhilin Dong, (unknown)	23
3	Domain Adversarial Generalized Networks for Real-Time Fault Diagnosis of Rolling Bearings Without the Need for Target Domain Samples 2025 ·IEEE Internet of Things Journal ·Yonghua Jiang, (unknown), Zhilin Dong, Zhuoqi Shi, Weidong Jiao, (unknown), Jianfeng Sun, (unknown)	0
4	A discriminator-free adversarial network for bearing fault diagnosis under unseen operating conditions 2025 ·Applied Acoustics ·(unknown), Yonghua Jiang, (unknown), (unknown), Zhuoqi Shi, Zhilin Dong, (unknown), Jianfeng Sun, Weidong Jiao	0
5	LSTM-Based Node-Gated Graph Neural Network for Cross-Condition Few-Shot Bearing Fault Diagnosis 2024 ·IEEE Sensors Journal ·Yonghua Jiang, (unknown), (unknown), Jianfeng Sun, Zhuoqi Shi, (unknown), (unknown), Junjie Yu	16
6	Bulk-edge correspondence for the nonlinear eigenvalues problem of the Haldane model 2024 ·Physical review. B. ·(unknown), Yonghua Jiang, Gao Xianlong	2
7	Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network 2024 ·IEEE Sensors Journal ·Yonghua Jiang, (unknown), Zhuoqi Shi, (unknown), Zhilin Dong, Jianfeng Sun, (unknown), Weidong Jiao	8
8	Adaptive Dynamic Threshold Graph Neural Network: A Novel Deep Learning Framework for Cross-Condition Bearing Fault Diagnosis 2023 ·Machines ·(unknown), Yonghua Jiang, (unknown), Chao Tang, Weidong Jiao, Zhuoqi Shi, Attiq Ur Rehman	3
9	Multilayer Dielectric Elastomer with Reconfigurable Electrodes for Artificial Muscle 2023 ·Advanced Science ·(unknown), Yonghua Jiang, Jian Lv, Yao Huang, (unknown), Ying Liu, Pooi See Lee, Hong Xu, Daming Wu	33
10	A Novel Rolling Bearing Fault Diagnosis Method Based on MFO-Optimized VMD and DE-OSELM 2023 ·Applied Sciences ·Yonghua Jiang, Zhuoqi Shi, Chao Tang, Jianan Wei, (unknown), Jianfeng Sun, (unknown), (unknown)	2
11	Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition 2023 ·Sensors ·Attiq Ur Rehman, Weidong Jiao, Jianfeng Sun, Muhammad Sohaib, Yonghua Jiang, (unknown), (unknown)	5
12	An improved method for signal de‐noising based on multi‐level local mean decomposition 2023 ·Engineering Reports ·Chao Tang, Heng Chen, Yonghua Jiang, Weidong Jiao, Jianfeng Sun, (unknown), (unknown), (unknown)	0
13	Multi-Scale Sample Entropy-Based Energy Moment Features Applied to Fault Classification 2021 ·IEEE Access ·Weidong Jiao, Gang Li, Yonghua Jiang, (unknown), Chao Tang, (unknown), (unknown), Yingying Yan	20
14	The Maximum Eigenvalue of the Brain Functional Network Adjacency Matrix: Meaning and Application in Mental Fatigue Evaluation 2020 ·Brain Sciences ·Gang Li, Yonghua Jiang, Weidong Jiao, Wanxiu Xu, Shan Huang, Zhao Gao, Jianhua Zhang, Chengwu Wang	13
15	A Novel Rolling Bearing Defect Detection Method Based on Bispectrum Analysis and Cloud Model-Improved EEMD 2020 ·IEEE Access ·Yonghua Jiang, Chao Tang, Xiaodi Zhang, Weidong Jiao, Gang Li, (unknown)	30
16	An indirect drug delivery device driven by piezoelectric pump 2020 ·Smart Materials and Structures ·Song Chen, Haidong Liu, (unknown), Junwu Kan, Yonghua Jiang, Zhonghua Zhang	32
17	Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network 2020 ·Neural Plasticity ·Gang Li, (unknown), Yonghua Jiang, Weidong Jiao, Wanxiu Xu, Jianhua Zhang	5
18	Effects of Mental Fatigue on Small-World Brain Functional Network Organization 2019 ·Neural Plasticity ·Gang Li, (unknown), Zhengru Zhang, (unknown), Weidong Jiao, Yonghua Jiang, Shan Huang, Chengwu Wang	39
19	A new method for automatically modelling brain functional networks 2018 ·Biomedical Signal Processing and Control ·Gang Li, (unknown), Yonghua Jiang, Weidong Jiao, (unknown), (unknown)	13
20	Fault Tree Analysis of Gear Pump in Hydraulic System 2007 ·Machine Tool & Hydraulics ·Yonghua Jiang	0

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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