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:

Attention Module Magnetic Flux Leakage Linked Deep Residual Network for Pipeline In-Line Inspection
Shucong Liu, Hongjun Wang, Rui Li
Sensors (2022) Vol. 22, Iss. 6, pp. 2230-2230
Open Access | Times Cited: 15

Showing 15 citing articles:

Automatic defogging, deblurring, and real-time segmentation system for sewer pipeline defects
Duo Ma, Hongyuan Fang, Niannian Wang, et al.
Automation in Construction (2022) Vol. 144, pp. 104595-104595
Closed Access | Times Cited: 47

Deep Learning for Magnetic Flux Leakage Detection and Evaluation of Oil & Gas Pipelines: A Review
Songling Huang, Lisha Peng, Hongyu Sun, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1372-1372
Open Access | Times Cited: 23

A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
Veysel Yuksel, Yusuf Engin Tetik, Mahmut Omer Basturk, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 18

Improving Pipeline Magnetic Flux Leakage (MFL) Detection Performance With Mixed Attention Mechanisms (AMs) and Deep Residual Shrinkage Networks (DRSNs)
Luying Zhang, Yuchen Bian, Peng Jiang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5162-5171
Closed Access | Times Cited: 5

The application of deep learning in pipeline inspection: current status and challenges
Zihan Yang, Yuteng Zhang, Yong Bai, et al.
Ships and Offshore Structures (2024), pp. 1-12
Closed Access | Times Cited: 2

Research on Crossing-Pipe Support Structure Defect Detection of EMAT-Excited CSH Wave
Yang Hu, Jinjie Zhou, Wenying Yue
Sensors (2023) Vol. 23, Iss. 12, pp. 5535-5535
Open Access | Times Cited: 5

Model of Oil Pipeline Tiny Defects Detection Based on DDPM Gated Parallel Convolutional Swin Transformer
Kaixin Yuan, Xianming Lang, Jiangtao Cao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015104-015104
Closed Access | Times Cited: 1

In-Line Inspection Methods and Tools for Oil and Gas Pipeline: A Review
Jia Zhang, Mingnan Sun, Lin Qin, et al.
International Journal of Pressure Vessels and Piping (2024), pp. 105409-105409
Closed Access | Times Cited: 1

An Anchor-Free Pipeline MFL Image Detection Method
Fucheng Han, Xianming Lang, Mingyang Liu
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-8
Closed Access | Times Cited: 2

Defect Detection and Quantification from Magnetic Flux Leakage Signals Based on Deep Learning
Veysel Yuksel, Yusuf Engin Tetik, Mahmut Omer Basturk, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 3

A novel stress concentration inspection method for marine oil and gas pipeline based on UNSM
Jiaxing Xin, Jinzhong Chen, Renyang He, et al.
Ocean Engineering (2024) Vol. 300, pp. 117497-117497
Closed Access

Improved U-Net Drainage Pipe Defects Detection Algorithm Based on CBMA Attention Mechanism
Qingyang Ran, Niannian Wang, Xinyi Wang, et al.
(2024), pp. 342-347
Closed Access

Research on Pipeline Defect Detection After Crossing Support Structure Based on Multi-Element Torsional Mode EMAT
Jinjie Zhou, Yang Hu, Xingquan Shen, et al.
Research in Nondestructive Evaluation (2024) Vol. 35, Iss. 5, pp. 283-301
Closed Access

Application and Development of Oil Pipeline Magnetic Flux Leakage Detection Based on Machine Learning Algorithm
Zheng Wang, Yi Tang, Jianbin Yu, et al.
2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP) (2024), pp. 194-198
Closed Access

A Novel Stress Concentration Inspection Method for Marine Oil and Gas Pipeline Based on Unsm
Jiaxing Xin, Jinzhong Chen, Renyang He, et al.
(2023)
Closed Access

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