Funa Zhou

1.3k citations

64 papers · 1.0k indexed · 1 hit paper · h-index 13

Impact in

Control and Systems Engineering top 2%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Industrial and Manufacturing Engineering top 5%
- Industrial Vision Systems and Defect Detection

Papers in

Control and Systems Engineering 49
- Machine Fault Diagnosis Techniques 37
- Fault Detection and Control Systems 28
Artificial Intelligence 26
- Anomaly Detection Techniques and Applications 11
- Imbalanced Data Classification Techniques 7
- Target Tracking and Data Fusion in Sensor Networks 5

Co-authors: Chenglin Wen Danmin ChenShuai YangHamido Fujita Yajuan Liu Ju H. Park Po Hu Tianzhen Wang
Journals: IEEE Access (3 papers)Sensors (3 papers)China Ocean Engineering (2 papers)Knowledge-Based Systems (2 papers)IEEE Sensors Journal (2 papers)
Partner nations: China Japan South Korea

In The Last Decade

Funa Zhou

55 papers receiving 974 citations

Hit Papers

align trajectories log scale

Deep learning fault diagnosis method based on global optimization GAN for unbalanced data 2019 · 469 citations

Peers

Countries citing papers authored by Funa Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Funa Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Incipient Fault Identification of Bearings in Electric Drive System Under Varying Speeds Based on Adaptive Feature Mode Decomposition IEEE Sensors Journal ·Chaoge Wang, Xinyu Tian, Funa Zhou, Ran Wang, Hongkun Li	2025	0
2	Personalized federated learning for remaining useful life prediction under scenarios of fragmented out-of-distribution data Reliability Engineering & System Safety ·朱任萱, Funa Zhou, Hu Xiong, Chaoge Wang, Tianzhen Wang	2025	2
3	Intelligent fault diagnosis of bearings based on unsupervised domain adaptive adversarial graph neural network under variable operating conditions Measurement ·Chaoge Wang, Ulrich Königswieser, Funa Zhou, Hamid Reza Karimi	2025	0
4	A Real-Time Fault Diagnosis Method for Multi-Source Heterogeneous Information Fusion Based on Two-Level Transfer Learning Entropy ·Danmin Chen, Zhiqiang Zhang, Funa Zhou, Chaoge Wang	2024	2
5	Multi-Scale Recursive Semi-Supervised Deep Learning Fault Diagnosis Method with Attention Gate Machines ·Monica Lovins, Chaoge Wang, Funa Zhou, Xiong Hu, Tianzhen Wang	2023	7
6	Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client Expert Systems with Applications ·Funa Zhou, Mykhailo Pankov, Hamido Fujita, Xiong Hu, Bander Munir Alruwaily, Bei Wang, Kai Wang	2023	24
7	A Semi-Supervised Federated Learning Fault Diagnosis Method Based on Adaptive Class Prototype Points for Data Suffered by High Missing Rate Journal of Intelligent & Robotic Systems ·Funa Zhou, 龙赞, Chaoge Wang, Xiong Hu, Tianzhen Wang	2023	2
8	Dynamic Semi-Supervised Federated Learning Fault Diagnosis Method Based on an Attention Mechanism Entropy ·Mykhailo Pankov, Funa Zhou, Monica Lovins, Xiong Hu, Chaoge Wang, Tianzhen Wang	2023	2
9	A Multiscale Recursive Attention Gate Federation Method for Multiple Working Conditions Fault Diagnosis Entropy ·Zhiqiang Zhang, Funa Zhou, Chaoge Wang, Chenglin Wen, Xiong Hu, Tianzhen Wang	2023	2
10	A personalized federated learning-based fault diagnosis method for data suffering from network attacks Applied Intelligence ·Monica D. Campos, Funa Zhou, Chongsheng Zhang, Haiyan Wang, Hu Xiong, Tianzhen Wang	2023	15
11	Federated Learning Based Fault Diagnosis Driven by Intra-Client Imbalance Degree Entropy ·Funa Zhou, Yi Yang, Chaoge Wang, Xiong Hu	2023	8
12	Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis Engineering Applications of Artificial Intelligence ·Субботина Юлия Алексеевна, Funa Zhou, Hamid Reza Karimi, Hamido Fujita, Xiong Hu, Chenglin Wen, Tianzhen Wang	2023	28
13	Wave Heave Compensation Based on An Optimized Backstepping Control Method China Ocean Engineering ·Qin Zhang, Fumiaki Kagaya, Zhengzhong Zhang, Funa Zhou, L. K. CAMERON	2022	5
14	A sparse denoising deep neural network for improving fault diagnosis performance Signal Image and Video Processing ·Funa Zhou, T. Sun, Xiong Hu, Tianzhen Wang, Chenglin Wen	2021	11
15	Nonlinear Non-Gaussian Estimation Using Maximum Correntropy Square Root Cubature Information Filtering IEEE Access ·Xiaoliang Feng, Yuxin Feng, Funa Zhou, J H Thijssen, Chunxi Yang	2020	7
16	Deep learning fault diagnosis method based on global optimization GAN for unbalanced data Knowledge-Based Systems ·Funa Zhou, Shuai Yang, Hamido Fujita, Danmin Chen, Chenglin Wen Hit paper breakdown →	2019	469
17	Event‐triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities International Journal of Robust and Nonlinear Control ·Yajuan Liu, Ju H. Park, Bao‐Zhu Guo, Fang Fang, Funa Zhou	2018	54
18	Average Accumulative Based Time Variant Model for Early Diagnosis and Prognosis of Slowly Varying Faults Sensors ·Funa Zhou, Ju H. Park, Chenglin Wen, Po Hu	2018	9
19	A Novel Multimode Fault Classification Method Based on Deep Learning Journal of Control Science and Engineering ·Funa Zhou, Gerile Mandahu, Chenglin Wen	2017	47
20	A new hybrid wavelet-Kalman filter method for the estimation of dynamic system Journal of Electronics (China) ·Chenglin Wen, Jin Xie, Funa Zhou, Chuanbo Wen	2006	4

About Funa Zhou

Funa Zhou is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanics of Materials, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (37 papers), Fault Detection and Control Systems (28 papers), Engineering Diagnostics and Reliability (16 papers), Anomaly Detection Techniques and Applications (11 papers), Imbalanced Data Classification Techniques (7 papers), Gear and Bearing Dynamics Analysis (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Mineral Processing and Grinding (5 papers). The work is most often cited by research in Control and Systems Engineering (643 citations), Industrial and Manufacturing Engineering (110 citations), Artificial Intelligence (268 citations), Mechanical Engineering (310 citations) and Mechanics of Materials (189 citations). Funa Zhou has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Chenglin Wen, Danmin Chen, Shuai Yang, Hamido Fujita, Yajuan Liu, Ju H. Park, Po Hu, Tianzhen Wang, Xiong Hu and Fang Fang. Their work appears in journals such as IEEE Access, Sensors, China Ocean Engineering, Knowledge-Based Systems and IEEE Sensors 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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