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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 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

Showing 22 citing articles:

Systematic Evaluation of Ultrasonic In-Line Inspection Techniques for Oil and Gas Pipeline Defects Based on Bibliometric Analysis
Jie Huang, Pengchao Chen, Rui Li, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2699-2699
Open Access | Times Cited: 6
BoltVision: A Comparative Analysis of CNN, CCT, and ViT in Achieving High Accuracy for Missing Bolt Classification in Train Components
Mujadded Al Rabbani Alif, Muhammad Hussain, Gareth Tucker, et al.
Machines (2024) Vol. 12, Iss. 2, pp. 93-93
Open Access | Times Cited: 4
Lightweight visible damage detection algorithm for embedded systems applied to pipeline automation equipment
Jiale Xiao, Lei Xu, Changyun Li, et al.
Journal of Pipeline Science and Engineering (2025), pp. 100254-100254
Open Access
Enhancing YOLOv8n with Multiple Attention and MRV Module for Efficient Deep-Sea Pipeline Target Detection
Jiaxin Quan, Z. G. Zhao, Wenqing Li, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 267-267
Open Access
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
Research on Cross-Domain Generative Diagnosis for Oil and Gas Pipeline Defect Based on Limited Field Data
Junming Yao, Wei Liang, Zhongmin Xiao
Energy (2025), pp. 135086-135086
Closed Access
Inner wall defect detection in oil and gas pipelines using point cloud data segmentation
Zhouyu Yan, Hong Zhao
Automation in Construction (2025) Vol. 173, pp. 106098-106098
Closed Access
Ageing Underground Water Pipelines: Time-to-Failure Models, Gaps and Future Directions
Beenish Bakhtawar, Tarek Zayed, Ibrahim Abdelfadeel Shaban, et al.
Water Research X (2025), pp. 100331-100331
Open Access
Improving 2D displacement accuracy in bridge vibration measurement with color space fusion and super resolution
Qixuan He, Sen Wang
Advanced Engineering Informatics (2025) Vol. 65, pp. 103248-103248
Closed Access
Quantitative Assessment of Pipeline Defects Utilizing a Dual-Stage Deep Learning Framework: Integration of Pretrained YOLO Network and Multi-input Parallel Convolution Architectures on Magnetic Flux Leakage Data
Jialiang Xie, Jie Yang, Kuan Fu, et al.
Journal of Pipeline Science and Engineering (2025), pp. 100282-100282
Open Access
Wind turbine blade rotational condition monitoring based on RBs-YOLO deep learning model
Wenhai Zhao, Wanrun Li, Yongfeng Du
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112641-112641
Closed Access
A novel vision-based dynamic identification method for coupler yaw angle of heavy-haul train through Separated Attention and Track Enhancement network
Letian Li, Shiqian Chen, Ruihan Xie, et al.
Mechanical Systems and Signal Processing (2025) Vol. 231, pp. 112690-112690
Closed Access
DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
Xianming Hu, Shouying Lin
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6705-6723
Open Access | Times Cited: 3
Research on steel surface defect detection system based on YOLOv5s-SE-CA model and BEMD image enhancement
Shan Wang, Xueke Fan, Zi‐Ye Zhao, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 3
A Novel Magnetoelectric Composite Probe for Dynamic and Rapid Inspection of Minor Metal Loss Defects in Pipelines
Rui Li, Pengchao Chen, Buyun Tang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16854-16866
Closed Access | Times Cited: 2
A wall climbing robot based on machine vision for automatic welding seam inspection
Yurong Du, Man Liu, Jiuxin Wang, et al.
Ocean Engineering (2024) Vol. 310, pp. 118825-118825
Closed Access | Times Cited: 2
An Improved Convolutional Neural Network for Pipe Leakage Identification Based on Acoustic Emission
Weidong Xu, Jiwei Huang, Lianghui Sun, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1720-1720
Open Access | Times Cited: 2
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
Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance
S. Mehrdad Mohammadi, Sasan Sattarpanah Karganroudi, Vahid Rahmanian
Machines (2024) Vol. 13, Iss. 1, pp. 11-11
Open 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
A Quantification and Identification Method for Pipeline Dents Based on an Enhanced Multivariate Regression Prediction Algorithm
Tong Shi, Xiaoben Liu, Kun Li, et al.
(2024)
Closed Access
A New Hybrid Velocity Prediction Model for Pipeline Detectors Based on Bo-Ssa, Bilstm, and the Attention Mechanism
Junjie Ma, Yiming Li, Zhongchao Zhang, et al.
(2024)
Closed Access
Surface Defect Identification of Strip Steel Using ViT‐RepVGG
Zhihuan Wang, Mujun Long, Pan Sun, et al.
steel research international (2024)
Open Access
Dual-Modal Fusion PRI-SWT Model for Eddy Current Detection of Cracks, Delamination, and Impact Damage in Carbon Fiber-Reinforced Plastic Materials
Robert K. Wen, Chongcong Tao, Hongli Ji, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10282-10282
Open Access
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