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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:

An innovative approach towards defect detection and localization in gas pipelines using integrated in-line inspection methods
Santhakumar Sampath, Kanhaiya Lal Chaurasiya, Pouria Aryan, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 90, pp. 103933-103933
Closed Access | Times Cited: 22

Showing 22 citing articles:

Pipeline In-Line Inspection Method, Instrumentation and Data Management
Qiuping Ma, Gui Yun Tian, Yanli Zeng, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3862-3862
Open Access | Times Cited: 125
Review on automated condition assessment of pipelines with machine learning
Yiming Liu, Yi Bao
Advanced Engineering Informatics (2022) Vol. 53, pp. 101687-101687
Closed Access | Times Cited: 104
Leak detection and localization techniques in oil and gas pipeline: A bibliometric and systematic review
Jie Yuan, Wenjing Mao, Chun Hu, et al.
Engineering Failure Analysis (2023) Vol. 146, pp. 107060-107060
Closed Access | Times Cited: 66
A comprehensive review of in-pipe robots
Jalal Taheri Kahnamouei, M. Moallem
Ocean Engineering (2023) Vol. 277, pp. 114260-114260
Closed Access | Times Cited: 40
A Comprehensive Analysis of In-Line Inspection Tools and Technologies for Steel Oil and Gas Pipelines
Berke Ogulcan Parlak, Hüseyin Ayhan Yavaşoğlu
Sustainability (2023) Vol. 15, Iss. 3, pp. 2783-2783
Open Access | Times Cited: 35
Multi-modal cascade detection of pipeline defects based on deep transfer metric learning
Boxuan Gao, Hong Zhao, Xingyuan Miao
Engineering Failure Analysis (2024) Vol. 160, pp. 108216-108216
Closed Access | Times Cited: 8
Experimental research on in-pipe leaks detection of acoustic signature in gas pipelines based on the artificial neural network
Wenming Wang, Xingxiang Mao, Haiguan Liang, et al.
Measurement (2021) Vol. 183, pp. 109875-109875
Closed Access | Times Cited: 51
Data Modeling Techniques for Pipeline Integrity Assessment: A State-of-the-Art Survey
Jiatong Ling, Ke Feng, Teng Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-17
Closed Access | Times Cited: 15
Motion analysis and control of the pipeline robot passing through girth weld and inclination in natural gas pipeline
Xingyuan Miao, Hong Zhao, Boxuan Gao, et al.
Journal of Natural Gas Science and Engineering (2022) Vol. 104, pp. 104662-104662
Closed Access | Times Cited: 16
Electromagnetic Coupling Sensing of Pipe In-Line Inspection System
Gaige Ru, Bin Gao, Qin Tang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 9
Non-destructive testing technology for corrosion wall thickness reduction defects in pipelines based on electromagnetic ultrasound
Yifan Tian, Alexander Grigorievich Palaev, Ildar Ayratovich Shammazov, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 2
Simulation and experimental research on the propagation mechanisms of acoustic energy inside the pipeline to detect the leakage
Kang Zhang, Ruize Ma, Shengtao Chen, et al.
Geoenergy Science and Engineering (2024) Vol. 243, pp. 213410-213410
Closed Access | Times Cited: 2
Bimorph sensor based in-line inspection method for corrosion defect detection in natural gas pipelines
Taha Sheikh, Santhakumar Sampath, Bishakh Bhattacharya
Sensors and Actuators A Physical (2022) Vol. 347, pp. 113940-113940
Closed Access | Times Cited: 10
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
Processing methods of the pipeline crack detection signal by a balanced field electromagnetic technique based on phase characteristics
Wenxue Zheng, Jiayin Li, Yingxin Xiao
Review of Scientific Instruments (2023) Vol. 94, Iss. 4
Open Access | Times Cited: 3
Quantitative Study of Sensor-Pipe Distance in Noncontact Magnetic Detection of Ferromagnetic Pipelines
Tengjiao He, Kexi Liao, J. Tang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7879-7894
Closed Access | Times Cited: 3
Electromagnetic Multiphysics Sensing Nondestructive Testing
Bin Gao, Gaige Ru, Qiuping Ma, et al.
Elsevier eBooks (2022), pp. 101-128
Closed Access | Times Cited: 3
Discriminative Method for Crack Detection Signals in Balanced-Field Electromagnetic Technique Based on Amplitude-Phase Composite Figure
Jiayin Li, Lijian Yang, Wenxue Zheng, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 7000-7000
Open Access | Times Cited: 3
Weld-Quality Diagnosis of In-Service Natural Gas Pipelines Based on a Fusion Model
Lin Wang, Zhihao Mao, Tingxia Ma, et al.
Journal of Pipeline Systems Engineering and Practice (2024) Vol. 15, Iss. 3
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
Analysis via 3D FEM of the Passing Capacity of Pipeline Inspection Gauges in Bends with Different Curvatures
Faqi Zhou, Haoye Lin, Ying Zhang, et al.
Processes (2023) Vol. 11, Iss. 12, pp. 3288-3288
Open Access | Times Cited: 1
Defect Detection of Metro Wheel Set Tread Based on Image Recognition
Jun Ma, Chunguang Zhang, Bingzhi Chen
Journal of Circuits Systems and Computers (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 1
Artificial Intelligence Framework for Database Integration and Data Quality Evaluation for Asset Integrity
Bashaer Alhammad, Mazyad Alyami, Tarik M. Hoshan, et al.
(2023), pp. 1-13
Closed Access
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