Juanjuan Shi

Juanjuan Shi

Soochow University

H-index: 19

Asia-China

About Juanjuan Shi

Juanjuan Shi, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Soochow University, specializes in the field of Vibration based condition moitoring of machinery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments

Bi-Generator Cooperative Domain Adversarial Neural Network for Bearing Fault Diagnosis

Point rail of high-speed railway turnout induced feature extraction using oscillatory behavior based signal sparse decomposition

Intra-class adaptation fault diagnosis method for bearing under variable working conditions

Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis

Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis

Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation

A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types

Juanjuan Shi Information

University

Position

___

Citations(all)

1819

Citations(since 2020)

1720

Cited By

657

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

30

i10Index(since 2020)

29

Email

University Profile Page

Soochow University

Google Scholar

View Google Scholar Profile

Juanjuan Shi Skills & Research Interests

Vibration based condition moitoring of machinery

Top articles of Juanjuan Shi

Title

Journal

Author(s)

Publication Date

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments

Knowledge-Based Systems

Yan Zhang

Changqing Shen

Juanjuan Shi

Chuan Li

Xinhai Lin

...

2024/6/7

Bi-Generator Cooperative Domain Adversarial Neural Network for Bearing Fault Diagnosis

IEEE Sensors Journal

Jingde Li

Changqing Shen

Juanjuan Shi

Chuan Li

Dong Wang

...

2024/2/7

Point rail of high-speed railway turnout induced feature extraction using oscillatory behavior based signal sparse decomposition

IEEE Transactions on Instrumentation and Measurement

Weizhen Liu

Miao Tang

Jinzhao Liu

Hangyuan Qin

Juanjuan Shi

...

2024/4/26

Intra-class adaptation fault diagnosis method for bearing under variable working conditions

2024/1/30

Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis

IEEE Transactions on Neural Networks and Learning Systems

Qiuyu Song

Xingxing Jiang

Jie Liu

Juanjuan Shi

Zhongkui Zhu

2024/4/9

Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis

Advanced Engineering Informatics

Xiao Zhang

Weiguo Huang

Chuancang Ding

Jun Wang

Changqing Shen

...

2024/8/1

Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation

Expert Systems with Applications

Rui Wang

Weiguo Huang

Yixiang Lu

Jun Wang

Chuancang Ding

...

2024/9/15

A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types

Advanced Engineering Informatics

Zhenzhong He

Changqing Shen

Bojian Chen

Juanjuan Shi

Weiguo Huang

...

2024/8/1

Iteratively reweighted accurate sparse low-rank matrix estimation algorithm for bearing fault diagnosis

Measurement

Weiguo Huang

Juntao Ma

Tianxu Qiu

Yi Liao

Lei Mao

...

2024/2/15

Continual learning fault diagnosis: A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments

Chinese Journal of Aeronautics

CHEN Bojian

SHEN Changqing

SHI Juanjuan

KONG Lin

TAN Luyang

...

2023/6/1

A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis

Measurement Science and Technology

Peiqi Wang

Jingde Li

Shubei Wang

Fusheng Zhang

Juanjuan Shi

...

2023/4/11

A Pretrained Significant Sample Generator for Partial Domain Transfer in Rotating Machinery Bearing Fault Diagnosis

Xuyan Liu

Mingkuan Shi

Xingxing Jiang

Juanjuan Shi

Changqing Shen

...

2023/10/12

Generic meta-transfer learning model with special neuronal processing parameters for few-shot fault bearing diagnosis

Journal of Advanced Manufacturing Science and Technology

WANG Peiqi

SHEN Changqing

CHEN Bojian

SHI Juanjuan

Weiguo HUANG

...

2023/5/19

A new multisource domain bearing fault diagnosis method with adaptive dual-domain obfuscation weighting strategy

IEEE Transactions on Instrumentation and Measurement

Changqing Shen

Jing Tian

Jun Zhu

Juanjuan Shi

Zhongkui Zhu

...

2023/3/9

Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions

Mechanical Systems and Signal Processing

He Ren

Jun Wang

Zhongkui Zhu

Juanjuan Shi

Weiguo Huang

2023/10/1

Multilayer-graph-embedded extreme learning machine for performance degradation prognosis of bearing

Measurement

Mingkuan Shi

Chuancang Ding

Hongbo Que

Chengpan Wu

Juanjuan Shi

...

2023/2/15

Fault diagnosis method under convergence trend of center frequency

2023/5/9

Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis

Engineering Applications of Artificial Intelligence

Xiao Zhang

Weiguo Huang

Rui Wang

Yi Liao

Chuancang Ding

...

2023/8/1

Three-dimensional dynamic analytical modeling and vibration analysis of deep groove ball bearings under multi-source internal fault excitation

Yang Luo

Jimin Hu

Juanjuan Shi

Yihao Yu

Natalie Baddour

...

2023/12/7

Multi-source alignment domain adaptation with similarity measurement for cross-domain bearing fault diagnosis

Measurement Science and Technology

Yiyun Xu

Liang Chen

Fusheng Zhang

Shubei Wang

Juanjuan Shi

...

2023/2/8

See List of Professors in Juanjuan Shi University(Soochow University)