Siyu Shao

4.5k citations

27 papers · 3.6k indexed · 4 hit papers · h-index 15

Control and Systems Engineering top 0.2%
Mechanical Engineering top 1%
Mechanics of Materials top 1%
Artificial Intelligence top 2%
Industrial and Manufacturing Engineering top 1%

Co-authors: Ruqiang Yan Stephen McAleer Pierre Baldi Wenjun Sun Pu Wang Rui Zhao Xuefeng Chen Robert X. Gao
Topics: Machine Fault Diagnosis Techniques (23 papers)Fault Detection and Control Systems (10 papers)Industrial Vision Systems and Defect Detection (7 papers)
Cited by: Control and Systems Engineering Mechanical Engineering Industrial and Manufacturing Engineering
Journals: IEEE Access IEEE Transactions on Industrial Informatics Mechanical Systems and Signal Processing
Partner nations: China United States Singapore

In The Last Decade

Siyu Shao

26 papers receiving 3.5k 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.

Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning

2018 1.2k citations Siyu Shao, Stephen McAleer et al. IEEE Transactions on Industrial Informatics profile →
A sparse auto-encoder-based deep neural network approach for induction motor faults classification

2016 580 citations Wenjun Sun, Siyu Shao et al. profile →
Generative adversarial networks for data augmentation in machine fault diagnosis

2019 418 citations Siyu Shao, Pu Wang et al. Computers in Industry profile →
DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

2019 341 citations Siyu Shao, Ruqiang Yan et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers

Countries citing papers authored by Siyu Shao

Since Specialization

Citations

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

Fields of papers citing papers by Siyu Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyu Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Siyu Shao. A scholar is included among the top collaborators of Siyu Shao 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 Siyu Shao. Siyu Shao 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	MgNet: A fault diagnosis approach for multi-bearing system based on auxiliary bearing and multi-granularity information fusion 2023 ·Mechanical Systems and Signal Processing ·Jin Deng,Han Liu,Hairui Fang,Siyu Shao,Dong Wang,Yimin Hou,(unknown),Mingcong Tang	67
2	Fault diagnosis of Rolling Bearing for Motor Based on LSTM-EEMD and Genetic Optimization 2023 ·Journal of Physics Conference Series ·Zheyuan Li,(unknown),Xiaoquan Li,Siyu Shao,(unknown)	3
3	You can get smaller: A lightweight self-activation convolution unit modified by transformer for fault diagnosis 2023 ·Advanced Engineering Informatics ·Hairui Fang,Jin Deng,(unknown),Wenjuan Jiang,Siyu Shao,Mingcong Tang,Jingjing Liu	70
4	Optimizing surgical outcomes for elderly gallstone patients with a high body mass index using enhanced recovery after surgery protocol 2023 ·World Journal of Gastrointestinal Surgery ·(unknown),(unknown),(unknown),(unknown),(unknown),Xiumei Zhang,Siyu Shao,Yu Zhang,Wenjing Hu,Yingying Ma,Mengyao Liu,(unknown)	2
5	Bearing fault diagnosis based on partial domain adaptation adversarial network 2022 ·Measurement Science and Technology ·(unknown),(unknown),Siyu Shao,(unknown),(unknown)	11
6	Remaining useful life prediction of rolling bearings based on convolutional recurrent attention network 2022 ·Assembly Automation ·Qiang Zhang,(unknown),Siyu Shao,(unknown),(unknown)	13
7	Remaining Useful Life Prediction of Aeroengine Based on Ghost Approach 2021 ·(unknown),(unknown),Siyu Shao,Yuwei Zhao,(unknown),(unknown)	1
8	Bearing Fault Diagnosis under Variable Working Conditions Based on Deep Residual Shrinkage Networks and Transfer Learning 2021 ·Journal of Sensors ·(unknown),(unknown),Siyu Shao,Qiang Zhang	11
9	CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions 2021 ·IEEE Transactions on Instrumentation and Measurement ·Hairui Fang,Jin Deng,(unknown),(unknown),(unknown),Siyu Shao,(unknown)	131
10	LEFE-Net: A Lightweight Efficient Feature Extraction Network With Strong Robustness for Bearing Fault Diagnosis 2021 ·IEEE Transactions on Instrumentation and Measurement ·Hairui Fang,Jin Deng,Bo Zhao,Yan Shi,(unknown),Siyu Shao	82
11	Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning 2020 ·Shock and Vibration ·(unknown),Xinyu Yang,Lin Zhang,Siyu Shao,(unknown)	32
12	Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning 2020 ·Shock and Vibration ·Hao Zhang,Qiang Zhang,Siyu Shao,(unknown),Xinyu Yang,(unknown)	12
13	A Application Study of Artificial Intelligence Aided Design 2020 ·Siyu Shao	1
14	Outlier detection based on sparse coding and neighbor entropy in high-dimensional space 2020 ·(unknown),(unknown),Siyu Shao	1
15	DCNN-Based Multi-Signal Induction Motor Fault Diagnosisbreakdown → 2019 ·IEEE Transactions on Instrumentation and Measurement ·Siyu Shao,Ruqiang Yan,Yadong Lu,Peng Wang,Robert X. Gao	341
16	Generative adversarial networks for data augmentation in machine fault diagnosisbreakdown → 2019 ·Computers in Industry ·Siyu Shao,Pu Wang,Ruqiang Yan	418
17	Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learningbreakdown → 2018 ·IEEE Transactions on Industrial Informatics ·Siyu Shao,Stephen McAleer,Ruqiang Yan,Pierre Baldi	1180
18	A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing 2017 ·Chinese Journal of Mechanical Engineering ·Siyu Shao,Wenjun Sun,Ruqiang Yan,Peng Wang,Robert X. Gao	118
19	Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis 2017 ·IEEE Transactions on Industrial Informatics ·Wenjun Sun,Rui Zhao,Ruqiang Yan,Siyu Shao,Xuefeng Chen	245
20	Learning features from vibration signals for induction motor fault diagnosis 2016 ·Siyu Shao,Wenjun Sun,Peng Wang,Robert X. Gao,Ruqiang Yan	49

About Siyu Shao

Siyu Shao is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 27 papers that have together received 3.6k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (23 papers), Fault Detection and Control Systems (10 papers) and Industrial Vision Systems and Defect Detection (7 papers). The work is most often cited by research in Control and Systems Engineering (2.7k citations), Mechanical Engineering (1.5k citations) and Industrial and Manufacturing Engineering (374 citations). Siyu Shao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ruqiang Yan, Stephen McAleer, Pierre Baldi, Wenjun Sun, Pu Wang, Rui Zhao, Xuefeng Chen, Robert X. Gao, Xingwu Zhang and Yadong Lu. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Mechanical Systems and Signal Processing.

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