Yong Lv

2.9k citations

139 papers · 2.2k · h-index 24

Impact in

Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Computational Mathematics top 10%

Papers in

Control and Systems Engineering 87
- Machine Fault Diagnosis Techniques 83
- Fault Detection and Control Systems 28
Mechanical Engineering 60
- Gear and Bearing Dynamics Analysis 51
- Advanced machining processes and optimization 7
- Mechanical Failure Analysis and Simulation 5

Co-authors: Rui Yuan (65 shared papers)Gangbing Song (12 shared papers)Cancan Yi (21 shared papers)Zhang Dang (17 shared papers)Hewenxuan Li (16 shared papers)Han Xiao (9 shared papers)Lei Dai (7 shared papers)Xun Yu (3 shared papers)
Journals: Measurement Science and Technology (13 papers)IEEE Sensors Journal (13 papers)Sensors (10 papers)IEEE Transactions on Instrumentation and Measurement (6 papers)Applied Sciences (6 papers)
Partner nations: China United States Canada

In The Last Decade

Yong Lv

125 papers receiving 2.1k citations

Peers

Replace Qing Zhao with:

Qing Zhao Canada

Zhenya Wang China

Pietro Borghesani Australia

Hui Li China

Kun Yu China

Guang Li China

Ahmed Abu‐Siada Australia

Huaming Qian China

Yongjun Shen China

Yong Lv relative to Qing Zhao Canada Qing Zhao's profile →

Citations per field

00.5×1.6×

Qing Zhao · 1×

×0.5 1k/3k

CSE

×∞ 17/0

CM

×0.8 943/1k

ME

×1.6 605/379

MM

×1.2 355/308

CSE

Citations per year

'16

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Countries citing papers authored by Yong Lv

Since Specialization

Citations

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

Fields of papers citing papers by Yong Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yong Lv, 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 Yong Lv Line = papers co-authored together Yong Lv links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing Mechanical Systems and Signal Processing ·Yong Lv, Rui Yuan, Gangbing Song	2016	216
2	A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition Shock and Vibration ·Cancan Yi, Yong Lv, Zhang Dang	2016	129
3	Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network Neurocomputing ·Hongyu Zhong, Yong Lv, Rui Yuan, Di Yang	2022	119
4	Fine-tuning transfer learning based on DCGAN integrated with self-attention and spectral normalization for bearing fault diagnosis Measurement ·Hongyu Zhong, Samson S. Yu, Hieu Trinh, Yong Lv, Rui Yuan, Yanan Wang	2023	88
5	Health Degradation Monitoring and Early Fault Diagnosis of a Rolling Bearing Based on CEEMDAN and Improved MMSE Materials ·Yong Lv, Rui Yuan, Tao Wang, Hewenxuan Li, Gangbing Song	2018	76
6	Self-assembled all-polysaccharide hydrogel film for versatile paper-based food packaging Carbohydrate Polymers ·Lei Dai, Xiangju Xi, Xinyu Li, Wei Li, Yuehong Du, Yong Lv, Wenhang Wang, Yonghao Ni	2021	76
7	Quaternion singular spectrum analysis using convex optimization and its application to fault diagnosis of rolling bearing Measurement ·Cancan Yi, Yong Lv, Zhang Dang, Han Xiao, Xun Yu	2017	74
8	Hydrogel as a Superwetting Surface Design Material for Oil/Water Separation: A Review Advanced Materials Interfaces ·Yong Lv, Xiangju Xi, Lei Dai, Shuhua Tong, Zhi‐Rong Chen	2021	72
9	Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing Structural Health Monitoring ·Rui Yuan, Yong Lv, Tao Wang, Si Li, Hewenxuan Li	2022	48
10	High-order synchroextracting transform for characterizing signals with strong AM-FM features and its application in mechanical fault diagnosis Mechanical Systems and Signal Processing ·Site Lv, Yong Lv, Rui Yuan, Hewenxuan Li	2022	43
11	Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions Structural Health Monitoring ·Rui Yuan, Yong Lv, Zhiwen Lu, Si Li, Hewenxuan Li	2022	40
12	Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition Sensors ·Rui Yuan, Yong Lv, Gangbing Song	2018	40
13	Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis Entropy ·Cancan Yi, Yong Lv, Mao Ge, Han Xiao, Xun Yu	2017	36
14	Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions IEEE Access ·Rui Yuan, Yong Lv, Hewenxuan Li, Gangbing Song	2019	36
15	Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis IEEE Sensors Journal ·Qixiang Zhang, Rui Yuan, Yong Lv, Zhaolun Li, Hongan Wu	2023	34
16	Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning Measurement Science and Technology ·Huan Li, Yong Lv, Rui Yuan, Zhang Dang, Zhixin Cai, Bingnan An	2022	32
17	Bearing fault diagnosis under various operation conditions using synchrosqueezing transform and improved two-dimensional convolutional neural network Measurement Science and Technology ·Lei Zhang, Yong Lv, Wenyi Huang, Cancan Yi	2022	29
18	Reassigned second-order Synchrosqueezing Transform and its application to wind turbine fault diagnosis Renewable Energy ·Cancan Yi, Zhaohong Yu, Yong Lv, Han Xiao	2020	29
19	Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing Sensors ·Zhang Dang, Yong Lv, You‐Rong Li, Guoqian Wei	2018	28
20	Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum Sensors ·Yong Lv, Qinglin Zhu, Rui Yuan	2015	27

About Yong Lv

Yong Lv is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering and Artificial Intelligence, having authored 139 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (83 papers), Gear and Bearing Dynamics Analysis (51 papers), Structural Health Monitoring Techniques (30 papers), Fault Detection and Control Systems (28 papers), Engineering Diagnostics and Reliability (18 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Advanced machining processes and optimization (7 papers) and Mechanical Failure Analysis and Simulation (5 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Computational Mathematics (17 citations), Mechanical Engineering (943 citations), Mechanics of Materials (605 citations) and Civil and Structural Engineering (355 citations). Yong Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rui Yuan, Gangbing Song, Cancan Yi, Zhang Dang, Hewenxuan Li, Han Xiao, Lei Dai, Xun Yu, Tao Wang and Yanan Wang. Their work appears in journals such as Measurement Science and Technology, IEEE Sensors Journal, Sensors, IEEE Transactions on Instrumentation and Measurement and Applied Sciences.

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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