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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:

Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Jonas Aust, Sam Shankland, Dirk J. Pons, et al.
Aerospace (2021) Vol. 8, Iss. 2, pp. 30-30
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Surface Defect Detection of Aeroengine Blades Based on Cross-Layer Semantic Guidance
Kechen Song, Xiangkun Sun, Shuai Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 27
Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification
Jiajun Zhang, Georgina Cosma, Jason Watkins
Journal of Imaging (2021) Vol. 7, Iss. 3, pp. 46-46
Open Access | Times Cited: 49
Comparative Analysis of Human Operators and Advanced Technologies in the Visual Inspection of Aero Engine Blades
Jonas Aust, Dirk J. Pons
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2250-2250
Open Access | Times Cited: 31
A Continuum Robot for Remote Applications: From Industrial to Medical Surgery With Slender Continuum Robots
David Alatorre, José A. Robles-Linares, Matteo Russo, et al.
IEEE Robotics & Automation Magazine (2022) Vol. 30, Iss. 3, pp. 94-105
Closed Access | Times Cited: 29
A Deep-Learning-Based Approach for Aircraft Engine Defect Detection
Anurag Upadhyay, Jun Li, Stephen P. King, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 192-192
Open Access | Times Cited: 16
Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models
S. Mehrdad Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, et al.
Machines (2025) Vol. 13, Iss. 1, pp. 49-49
Open Access
Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review
Kamal Hassan, Amit Kumar Thakur, Gurraj Singh, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Deep learning approach for predicting crack initiation position and size in a steam turbine blade using frequency response and model order reduction
Hee Won Seo, Jeong Sam Han
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 4, pp. 1971-1984
Closed Access | Times Cited: 4
Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections
Angelos Plastropoulos, Kostas Bardis, George Yazigi, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 158-158
Open Access | Times Cited: 4
High-Quality, Low-Quantity: A Data-Centric Approach to Deep Learning Performance Optimization in Digital X-Ray Radiography
Bata Hena, Ziang Wei, Clemente Ibarra‐Castanedo, et al.
NDT & E International (2025), pp. 103327-103327
Open Access
A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning
Thibaud Schaller, Jun Li, Karl W. Jenkins
Journal of Experimental and Theoretical Analyses (2025) Vol. 3, Iss. 1, pp. 4-4
Open Access
Detection of coating defects in high gas turbine blades by image processing
Hossein Mehrali, Alireza S. Sarvestani, Mohsen Mirzaei, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access
Superpixel perception graph neural network for intelligent defect detection of aero-engine blade
Hongbing Shang, Qixiu Yang, Chuang Sun, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 112-126
Closed Access | Times Cited: 3
Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade
Hongbing Shang, Jingyao Wu, Chuang Sun, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 8865-8877
Closed Access | Times Cited: 18
Deep learning-based defects detection of certain aero-engine blades and vanes with DDSC-YOLOv5s
Xubo Li, Wenqing Wang, Lihua Sun, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Thermally efficient gas turbine with pressure drop-based automated filter cleaning and optimized fuel control system
Ravindra S. Surase, K. Rama Krishna, Ramchandra P. Chopade
Applied Thermal Engineering (2024), pp. 122385-122385
Closed Access | Times Cited: 3
Assessment of the Effect of Cleanliness on the Visual Inspection of Aircraft Engine Blades: An Eye Tracking Study
Jonas Aust, Antonija Mitrović, Dirk J. Pons
Sensors (2021) Vol. 21, Iss. 18, pp. 6135-6135
Open Access | Times Cited: 20
Application of machine vision-based NDT technology in ceramic surface defect detection – a review
Guanping Dong, Shanwei Sun, Zixi Wang, et al.
Materials Testing (2022) Vol. 64, Iss. 2, pp. 202-219
Closed Access | Times Cited: 15
Thermal degradation of turbine components in a military turbofan
Andrzej Szczepankowski, Radosław Przysowa
Engineering Failure Analysis (2022) Vol. 134, pp. 106088-106088
Open Access | Times Cited: 12
Automatic Defect Detection of Jet Engine Turbine and Compressor Blade Surface Coatings Using a Deep Learning-Based Algorithm
Md Hasib Zubayer, Chaoqun Zhang, Wen Liu, et al.
Coatings (2024) Vol. 14, Iss. 4, pp. 501-501
Open Access | Times Cited: 2
Exemplification of Detecting Gas Turbine Blade Structure Defects Using the X-ray Computed Tomography Method
Jóżef Błachnio, Marek Chalimoniuk, Artur Kułaszka, et al.
Aerospace (2021) Vol. 8, Iss. 4, pp. 119-119
Open Access | Times Cited: 17
Methodology for Evaluating Risk of Visual Inspection Tasks of Aircraft Engine Blades
Jonas Aust, Dirk J. Pons
Aerospace (2021) Vol. 8, Iss. 4, pp. 117-117
Open Access | Times Cited: 15
Comparison of Visual and Visual–Tactile Inspection of Aircraft Engine Blades
Jonas Aust, Antonija Mitrović, Dirk J. Pons
Aerospace (2021) Vol. 8, Iss. 11, pp. 313-313
Open Access | Times Cited: 12
Evaluation of Influence Factors on the Visual Inspection Performance of Aircraft Engine Blades
Jonas Aust, Dirk J. Pons, Antonija Mitrović
Aerospace (2021) Vol. 9, Iss. 1, pp. 18-18
Open Access | Times Cited: 12
Design of intelligent module design for humanoid translation robot by combining the deep learning with blockchain technology
Fan Yang, Jie Deng
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
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