Jiehan Zhou

Jiehan Zhou

Oulun yliopisto

H-index: 24

Europe-Finland

About Jiehan Zhou

Jiehan Zhou, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Oulun yliopisto, specializes in the field of Deep Learning, Industry 4.0, Internet of Things, Cloud Computing.

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

DFML: Dynamic federated meta-learning for rare disease prediction

TSViT: A Time Series Vision Transformer for Fault Diagnosis

Special Section on Next-Generation Networks for Industry 4.0: Using Cutting-Edge Technologies to Connect, Communicate, and Compute

A Lightweight Cache-Assisted Data Recovery Mechanism for Latency-Critical Data in IIoT

Adaptive spatiotemporal neural networks based on machine learning for missing well-log prediction

A broad learning-based comprehensive defence against SSDP reflection attacks in IoTs

Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data

Knowledge sharing-based multi-block federated learning for few-shot oil layer identification

Jiehan Zhou Information

University

Position

___

Citations(all)

2884

Citations(since 2020)

1589

Cited By

1921

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

57

i10Index(since 2020)

28

Email

University Profile Page

Oulun yliopisto

Google Scholar

View Google Scholar Profile

Jiehan Zhou Skills & Research Interests

Deep Learning

Industry 4.0

Internet of Things

Cloud Computing

Top articles of Jiehan Zhou

Title

Journal

Author(s)

Publication Date

DFML: Dynamic federated meta-learning for rare disease prediction

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Bingyang Chen

Tao Chen

Xingjie Zeng

Weishan Zhang

Qinghua Lu

...

2023/1/26

TSViT: A Time Series Vision Transformer for Fault Diagnosis

arXiv preprint arXiv:2311.06916

Shouhua Zhang

Jiehan Zhou

Xue Ma

Chenglin Wen

Susanna Pirttikangas

...

2023/11/12

Special Section on Next-Generation Networks for Industry 4.0: Using Cutting-Edge Technologies to Connect, Communicate, and Compute

IEEE Systems, Man, and Cybernetics Magazine

Jiehan Zhou

Haisheng Yu

Zhixiong Chen

Yongzhi Wang

2023/1/10

A Lightweight Cache-Assisted Data Recovery Mechanism for Latency-Critical Data in IIoT

Zhe Zhang

Mingkai Chen

Jiehan Zhou

2023/11/2

Adaptive spatiotemporal neural networks based on machine learning for missing well-log prediction

Geophysics

Bingyang Chen

Xingjie Zeng

Lulu Fan

Kun Li

Weishan Zhang

...

2023/11/1

A broad learning-based comprehensive defence against SSDP reflection attacks in IoTs

Digital Communications and Networks

Xin Liu

Liang Zheng

Sumi Helal

Weishan Zhang

Chunfu Jia

...

2023/10/1

Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data

Expert Systems with Applications

Bingyang Chen

Xingjie Zeng

Jiehan Zhou

Weishan Zhang

Shaohua Cao

...

2023/8/1

Knowledge sharing-based multi-block federated learning for few-shot oil layer identification

Energy

Bingyang Chen

Xingjie Zeng

Weishan Zhang

Lulu Fan

Shaohua Cao

...

2023/11/15

Guest Editorial: Special Section on Artificial Intelligence and Big Data Analytics for Cloud Manufacturing.

Automated Software Engineering

Eduard C Groen

Rachel Harrison

Pradeep K Murukannaiah

Andreas Vogelsang

2019/9/15

An evolutive frequent pattern tree-based incremental knowledge discovery algorithm

ACM Transactions on Management Information Systems (TMIS)

Xin Liu

Liang Zheng

Weishan Zhang

Jiehan Zhou

Shuai Cao

...

2022/2/4

Design of Threat Response Modeling Language for Attacker Profile Based on Probability Distribution

Wireless Communications and Mobile Computing

Shuqin Zhang

Shijie Wang

Guangyao Bai

Minzhi Zhang

Peng Chen

...

2022/6/16

An Intelligent Route Guidance Strategy based on Congestion Type for ITS

Weilong Zhu

Chunsheng Zhu

Yangjie Cao

Edith CH Ngai

Jiehan Zhou

2022/5/16

State of the art on vibration signal processing towards data‐driven gear fault diagnosis

Shouhua Zhang

Jiehan Zhou

Erhua Wang

Hong Zhang

Mu Gu

...

2022/12

CNN4GCDD: A one-dimensional convolutional neural network-based model for gear crack depth diagnosis

Shouhua Zhang

Jiehan Zhou

Erhua Wang

Susanna Pirttikangas

2022/5/4

Revisiting digital twins: Origins, fundamentals, and practices

Frontiers of Engineering Management

Jiehan Zhou

Shouhua Zhang

Mu Gu

2022/12

A framework for self-supervised federated domain adaptation

EURASIP Journal on Wireless Communications and Networking

Bin Wang

Gang Li

Chao Wu

WeiShan Zhang

Jiehan Zhou

...

2022/4/15

Evaluating interwell connectivity in waterflooding reservoirs with graph-based cooperation-mission neural networks

SPE Journal

Xingjie Zeng

Weishan Zhang

Tao Chen

Hans-Arno Jacobsen

Jiehan Zhou

...

2022/8/11

A class-imbalanced heterogeneous federated learning model for detecting icing on wind turbine blades

IEEE Transactions on Industrial Informatics

Xu Cheng

Fan Shi

Yongping Liu

Jiehan Zhou

Xiufeng Liu

...

2022/4

Guest editorial: Federated learning for industrial IoT in industry 4.0

IEEE Transactions on Industrial Informatics

Jiehan Zhou

Qinghua Lu

Wenbin Dai

Enrique Herrera-Viedma

2021/8/26

A general asset administration shell platform for production line design

Quanbo Lu

Xiang Li

Guanyi Li

Mei Li

Jiehan Zhou

...

2021/7/15

See List of Professors in Jiehan Zhou University(Oulun yliopisto)

Co-Authors

H-index: 84
Hai Jin

Hai Jin

Huazhong University of Science and Technology

H-index: 60
Minyi Guo

Minyi Guo

Shanghai Jiao Tong University

H-index: 54
Mika Ylianttila

Mika Ylianttila

Oulun yliopisto

H-index: 42
Timo Ojala

Timo Ojala

Oulun yliopisto

H-index: 37
Jukka Riekki

Jukka Riekki

Oulun yliopisto

H-index: 37
Chung-Horng Lung

Chung-Horng Lung

Carleton University

academic-engine