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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Novel Deep Offline-to-Online Transfer Learning Framework for Pipeline Leakage Detection With Small Samples
Chuang Wang, Zidong Wang, Weibo Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples
Baoye Song, Yiyan Liu, Jingzhong Fang, et al.
Neurocomputing (2024) Vol. 574, pp. 127284-127284
Closed Access | Times Cited: 48
Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks
Chuanbo Wen, Yipeng Xue, Weibo Liu, et al.
Neurocomputing (2024) Vol. 576, pp. 127355-127355
Closed Access | Times Cited: 20
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach
Guijun Ma, Zidong Wang, Weibo Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 7, pp. 1530-1543
Closed Access | Times Cited: 31
A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data
Yipeng Xue, Chuanbo Wen, Zidong Wang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111205-111205
Closed Access | Times Cited: 22
Advanced acoustic leak detection in water distribution networks using integrated generative model
Rongsheng Liu, Tarek Zayed, Rui Xiao
Water Research (2024) Vol. 254, pp. 121434-121434
Closed Access | Times Cited: 14
Structural health monitoring of oil and gas pipelines: Developments, applications and future directions
Yihuan Wang, Shiyi Zhu, Bohong Wang, et al.
Ocean Engineering (2024) Vol. 308, pp. 118293-118293
Closed Access | Times Cited: 10
Imbalanced data augmentation for pipeline fault diagnosis: A multi-generator switching adversarial network
Rou Shang, Hongli Dong, Chuang Wang, et al.
Control Engineering Practice (2023) Vol. 144, pp. 105839-105839
Closed Access | Times Cited: 16
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample Vicinity
Chengxuan Qin, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3675-3686
Open Access | Times Cited: 14
TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
Control Engineering Practice (2024) Vol. 146, pp. 105900-105900
Closed Access | Times Cited: 5
A dual-channel signals-based method for pipeline leak detection by signal reconstruction and deep feature fusion
Zheyi Zhang, Weihua Cao, Wenkai Hu, et al.
Process Safety and Environmental Protection (2025), pp. 106881-106881
Closed Access
EMDet: An entropy blending and multi-link parallel feature enhancement detection model for gas pipeline weak leakage detection
Ye Lin, Chengyou Wang, Xiao Zhou, et al.
Process Safety and Environmental Protection (2024) Vol. 186, pp. 1580-1592
Open Access | Times Cited: 4
A Review on Transferability Estimation in Deep Transfer Learning
Yihao Xue, Rui Yang, Xiaohan Chen, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 12, pp. 5894-5914
Closed Access | Times Cited: 4
Application of machine learning to leakage detection of fluid pipelines in recent years: A review and prospect
Jianwu Chen, Xiao Wu, Zhibo Jiang, et al.
Measurement (2025), pp. 116857-116857
Closed Access
Cross-Subject EEG Channel Selection Method for Lower Limb Brain-Computer Interface
M. S. Wei, Mengjie Huang, Jiaying Ni
International Journal of Network Dynamics and Intelligence (2023), pp. 100008-100008
Open Access | Times Cited: 10
Data privacy protection health status assessment for rotating machinery with dual-task feature fusion framework
Xin He, Wei Zhou, Zhen Luo, et al.
Neurocomputing (2024) Vol. 582, pp. 127464-127464
Closed Access | Times Cited: 3
A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data
Zhonglin Zuo, Hao Zhang, Zheng Li, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104102-104102
Closed Access | Times Cited: 3
An Optimal Unsupervised Domain Adaptation Approach With Applications to Pipeline Fault Diagnosis: Balancing Invariance and Variance
Chuang Wang, Zidong Wang, Hongjian Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10019-10030
Closed Access | Times Cited: 3
Multi-source transfer learning via optimal transport feature ranking for EEG classification
Junhao Li, Qingshan She, Feng Fang, et al.
Neurocomputing (2024) Vol. 596, pp. 127944-127944
Closed Access | Times Cited: 3
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity
Ziqi Liu, Rui Yang, Weibo Liu, et al.
Neurocomputing (2023) Vol. 561, pp. 126877-126877
Closed Access | Times Cited: 7
Unsupervised Gas Pipeline Network Leakage Detection Method Based on Improved Graph Deviation Network
Liangcheng Yu, Mingyuan Zhang
Journal of Loss Prevention in the Process Industries (2024) Vol. 91, pp. 105396-105396
Closed Access | Times Cited: 2
An early warning method of pipeline leakage monitoring with limited leakage samples
Xiuquan Cai, Jinjiang Wang, Yingchun Ye, et al.
Measurement (2024), pp. 116013-116013
Closed Access | Times Cited: 2
A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing
Jingzhong Fang, Zidong Wang, Weibo Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 131, pp. 107700-107700
Closed Access | Times Cited: 6
Dy-GNet: a lightweight and efficient 1DCNN-based network for leakage aperture identification
Lihao Zhang, P. Li, Xuanyu Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056109-056109
Closed Access | Times Cited: 1
An Integrated Model-Driven and Data-Driven Method Based on CFD-PSO-RBF: Applications to Leakage Detection of Natural Gas Pipelines
Hongyu Gao, Yiwen Zhang, Fenghua Hao, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 458-464
Closed Access | Times Cited: 1
Application of Novel SN-1DCNN-LSTM framework in small sample oil and gas pipeline leakage detection
Hongyu Gao, Fenghua Hao, Yiwen Zhang, et al.
Franklin Open (2024) Vol. 6, pp. 100073-100073
Open Access
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