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 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

Showing 18 citing articles:

A cascaded deep learning approach for detecting pipeline defects via pretrained YOLOv5 and ViT models based on MFL data
Pengchao Chen, Rui Li, Kuan Fu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110919-110919
Closed Access | Times Cited: 22

A physics-informed framework for feature extraction and defect segmentation in pulsed infrared thermography
Luca Santoro, Raffaella Sesana
Engineering Failure Analysis (2025), pp. 109542-109542
Open Access

Application of Object Detection Algorithms in Non-Destructive Testing of Pressure Equipment: A Review
Wang Wei-hua, Jiugong Chen, Gangsheng Han, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5944-5944
Open Access | Times Cited: 3

Adaptive fast Walsh-Hadamard transform for magnetic flux leakage signal of broken wire damage extraction under noise background
Shengping Huang, Zhong-Qiu Wang, Jianhua Yang, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-21
Closed Access | Times Cited: 2

FLCNet: faster and lighter cross-scale feature aggregation network for lead bar surface defect detection
Zhongliang Lv, Kewen Xia, Zhengyu Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065401-065401
Closed Access | Times Cited: 2

A High-Precision Size Inversion Method for Pipeline Defects With the Influence of Velocity Effects
Hang Xu, Jinhai Liu, Lin Jiang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11908-11918
Closed Access | Times Cited: 2

An efficient re-parameterization feature pyramid network on YOLOv8 to the detection of steel surface defect
Weining Xie, Weifeng Ma, Xiaoyong Sun
Neurocomputing (2024) Vol. 614, pp. 128775-128775
Closed Access | Times Cited: 2

Irregular Defect Size Estimation for the Magnetic Flux Leakage Detection System via Expertise-Informed Collaborative Network
Lei Wang, Huaguang Zhang, Jinhai Liu, et al.
IEEE Transactions on Industrial Electronics (2024) Vol. 71, Iss. 10, pp. 13189-13200
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

Enhancing urban infrastructure: water supply and drainage pipeline defect detection with the GLIP pre-trained model and the YOLOv5 model
Peng Liu, Wei Chen, Jiahe Yu, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 11, pp. 5714-5720
Open Access | Times Cited: 1

Barrelyzer: Design and Implementation of a Low-Cost Tank Barrel Inspection System
Franco Rivadeneira, Diego Godinez, Daniela Carcausto, et al.
Lecture notes in networks and systems (2024), pp. 531-545
Closed Access

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

Pipeline integrity gauges based on dynamic magnetic coupling sensing technology
Gaige Ru, Bin Gao, S. Xue, et al.
NDT & E International (2024) Vol. 151, pp. 103307-103307
Closed Access

Magnetic flux leakage defect size estimation method based on physics-informed neural network
Xiong Yi, Shuai Liu, Litao Hou, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 382, Iss. 2264
Closed Access | Times Cited: 1

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