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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:

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures
Rih‐Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 774-789
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
Mohsen Azimi, Armin Dadras Eslamlou, Gökhan Pekcan
Sensors (2020) Vol. 20, Iss. 10, pp. 2778-2778
Open Access | Times Cited: 465
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 Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
Abu Sufian, Anirudha Ghosh, Ali Safaa Sadiq, et al.
Journal of Systems Architecture (2020) Vol. 108, pp. 101830-101830
Open Access | Times Cited: 130
Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance
Tarutal Ghosh Mondal, Mohammad R. Jahanshahi, Rih‐Teng Wu, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 4
Open Access | Times Cited: 112
Integrating structural control, health monitoring, and energy harvesting for smart cities
Sajad Javadinasab Hormozabad, Mariantonieta Gutiérrez Soto, Hojjat Adeli
Expert Systems (2021) Vol. 38, Iss. 8
Open Access | Times Cited: 93
Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short-Term Memory
Xiuhui Wang, Wei Qi Yan
International Journal of Neural Systems (2019) Vol. 30, Iss. 01, pp. 1950027-1950027
Open Access | Times Cited: 87
Deep learning models for bridge deck evaluation using impact echo
Sattar Dorafshan, Hoda Azari
Construction and Building Materials (2020) Vol. 263, pp. 120109-120109
Closed Access | Times Cited: 78
Multicategory damage detection and safety assessment of post‐earthquake reinforced concrete structures using deep learning
Dujian Zou, Ming Zhang, Zhilin Bai, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1188-1204
Closed Access | Times Cited: 60
A Generative adversarial learning strategy for enhanced lightweight crack delineation networks
Futao Ni, Zhili He, Shang Jiang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101575-101575
Closed Access | Times Cited: 46
Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm
Kien-Trinh Thi Bui, J. F. Torres, David Gutiérrez‐Avilés, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 11, pp. 1368-1386
Open Access | Times Cited: 45
A robust real‐time method for identifying hydraulic tunnel structural defects using deep learning and computer vision
Yangtao Li, Tengfei Bao, Tianyu Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 10, pp. 1381-1399
Closed Access | Times Cited: 38
Roadmap on measurement technologies for next generation structural health monitoring systems
Simon Laflamme, Filippo Ubertini, Alberto Di Matteo, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 093001-093001
Open Access | Times Cited: 37
Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 34
Large‐scale building damage assessment using a novel hierarchical transformer architecture on satellite images
Navjot Kaur, Cheng‐Chun Lee, Ali Mostafavi, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 15, pp. 2072-2091
Open Access | Times Cited: 30
Real-time sewer defect detection based on YOLO network, transfer learning, and channel pruning algorithm
Zuxiang Situ, Shuai Teng, Xiaoting Liao, et al.
Journal of Civil Structural Health Monitoring (2023) Vol. 14, Iss. 1, pp. 41-57
Closed Access | Times Cited: 24
A machine learning approach based on multifractal features for crack assessment of reinforced concrete shells
Apostolos Athanasiou, Arvin Ebrahimkhanlou, Jarrod Zaborac, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 6, pp. 565-578
Closed Access | Times Cited: 58
Convolutional neural networks for pavement roughness assessment using calibration‐free vehicle dynamics
Jong‐Hyun Jeong, Hongki Jo, Gregory Ditzler
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 11, pp. 1209-1229
Closed Access | Times Cited: 54
Digital modeling on the nonlinear mapping between multi‐source monitoring data of in‐service bridges
Hanwei Zhao, Youliang Ding, Aiqun Li, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 11
Open Access | Times Cited: 51
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power
Peizhen Peng, Liping Xie, Haikun Wei
International Journal of Neural Systems (2021) Vol. 31, Iss. 08, pp. 2150022-2150022
Closed Access | Times Cited: 46
Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022
Luqman Ali, Fady Alnajjar, Wasif Khan, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 432-432
Open Access | Times Cited: 34
Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification
Yu‐Ting Huang, Mohammad R. Jahanshahi, Fangjia Shen, et al.
Journal of Transportation Engineering Part B Pavements (2023) Vol. 149, Iss. 2
Closed Access | Times Cited: 17
Data-Driven Monitoring and Predictive Maintenance for Engineering Structures: Technologies, Implementation Challenges, and Future Directions
Qianyi Chen, Jiannong Cao, Songye Zhu
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14527-14551
Closed Access | Times Cited: 16
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges
Fatemeh Golpayegani, Nanxi Chen, Nima Afraz, et al.
ACM Transactions on Autonomous and Adaptive Systems (2024) Vol. 19, Iss. 3, pp. 1-43
Open Access | Times Cited: 7
Structural Crack Detection from Benchmark Data Sets Using Pruned Fully Convolutional Networks
Xiao‐Wei Ye, Tao Jin, Z. X. Li, et al.
Journal of Structural Engineering (2021) Vol. 147, Iss. 11
Closed Access | Times Cited: 38
Blockchain technology and smart contract for civil structural health monitoring system
Jie Xu, Haoran Liu, Qinghua Han
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 10, pp. 1288-1305
Closed Access | Times Cited: 35
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