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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 systematic review of convolutional neural network-based structural condition assessment techniques
Sandeep Sony, Kyle Dunphy, Ayan Sadhu, et al.
Engineering Structures (2020) Vol. 226, pp. 111347-111347
Closed Access | Times Cited: 292

Showing 1-25 of 292 citing articles:

Machine learning for structural engineering: A state-of-the-art review
Huu‐Tai Thai
Structures (2022) Vol. 38, pp. 448-491
Closed Access | Times Cited: 377
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Arman Malekloo, Ekin Özer, Mohammad AlHamaydeh, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1906-1955
Open Access | Times Cited: 320
A review of artificial neural networks in the constitutive modeling of composite materials
Xin Liu, Su Tian, Fei Tao, et al.
Composites Part B Engineering (2021) Vol. 224, pp. 109152-109152
Closed Access | Times Cited: 277
A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
Sahar Hassani, Ulrike Dackermann
Sensors (2023) Vol. 23, Iss. 4, pp. 2204-2204
Open Access | Times Cited: 168
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 164
Deep learning system for paddy plant disease detection and classification
Amritha Haridasan, Jeena Thomas, Ebin Deni Raj
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 141
Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review
Eshta Ranyal, Ayan Sadhu, Kamal Jain
Sensors (2022) Vol. 22, Iss. 8, pp. 3044-3044
Open Access | Times Cited: 107
Machine Learning for Risk and Resilience Assessment in Structural Engineering: Progress and Future Trends
Xiaowei Wang, Ram K. Mazumder, Babak Salarieh, et al.
Journal of Structural Engineering (2022) Vol. 148, Iss. 8
Closed Access | Times Cited: 106
LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems
Elise Kaartinen, Kyle Dunphy, Ayan Sadhu
Sensors (2022) Vol. 22, Iss. 12, pp. 4610-4610
Open Access | Times Cited: 90
A review of mobile sensing of bridges using moving vehicles: Progress to date, challenges and future trends
Abdollah Malekjafarian, Robert Corbally, Wenjie Gong
Structures (2022) Vol. 44, pp. 1466-1489
Open Access | Times Cited: 87
Automatic classification of asphalt pavement cracks using a novel integrated generative adversarial networks and improved VGG model
Yun Que, Yi Dai, Xue Ji, et al.
Engineering Structures (2023) Vol. 277, pp. 115406-115406
Closed Access | Times Cited: 84
A review of machine learning methods applied to structural dynamics and vibroacoustic
Barbara Zaparoli Cunha, Christophe Droz, Abdelmalek Zine, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110535-110535
Open Access | Times Cited: 72
Autonomous surface crack identification of concrete structures based on an improved one-stage object detection algorithm
Pei‐Rong Wu, Airong Liu, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 272, pp. 114962-114962
Closed Access | Times Cited: 71
A Review of Data Management and Visualization Techniques for Structural Health Monitoring Using BIM and Virtual or Augmented Reality
Ayan Sadhu, Jack E. Peplinski, Ali Mohammadkhorasani, et al.
Journal of Structural Engineering (2022) Vol. 149, Iss. 1
Closed Access | Times Cited: 71
Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review
Kareem Eltouny, Mohamed Gomaa, Xiao Liang
Sensors (2023) Vol. 23, Iss. 6, pp. 3290-3290
Open Access | Times Cited: 61
Structural damage detection based on transfer learning strategy using digital twins of bridges
Shuai Teng, Xuedi Chen, Gongfa Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110160-110160
Closed Access | Times Cited: 55
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 42
Tunnel lining detection and retrofitting
Yandan Jiang, Lai Wang, Bo Zhang, et al.
Automation in Construction (2023) Vol. 152, pp. 104881-104881
Open Access | Times Cited: 42
Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review
Muhammad Muzammil Azad, Yubin Cheon, Izaz Raouf, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 21
A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder
Shayan Ghazimoghadam, S.A.A. Hosseinzadeh
Measurement (2024) Vol. 229, pp. 114410-114410
Closed Access | Times Cited: 18
Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review
Rakesh Kumar, Baboo Rai, Pijush Samui
Structural Concrete (2024)
Closed Access | Times Cited: 16
Advances in artificial intelligence for structural health monitoring: A comprehensive review
Billie F. Spencer, Sung‐Han Sim, Robin E. Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 3, pp. 100203-100203
Open Access | Times Cited: 1
Autonomous damage recognition in visual inspection of laminated composite structures using deep learning
Sakineh Fotouhi, Farzad Pashmforoush, Mahdi Bodaghi, et al.
Composite Structures (2021) Vol. 268, pp. 113960-113960
Open Access | Times Cited: 81
Vibration-based multiclass damage detection and localization using long short-term memory networks
Sandeep Sony, Sunanda Gamage, Ayan Sadhu, et al.
Structures (2021) Vol. 35, pp. 436-451
Closed Access | Times Cited: 75
Deep autoencoder architecture for bridge damage assessment using responses from several vehicles
Muhammad Zohaib Sarwar, Daniel Cantero
Engineering Structures (2021) Vol. 246, pp. 113064-113064
Open Access | Times Cited: 66
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