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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:

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks
Mohammad Amin Nabian, Hadi Meidani
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 33, Iss. 6, pp. 443-458
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Image‐based post‐disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 34, Iss. 5, pp. 415-430
Closed Access | Times Cited: 344
Applications of artificial intelligence for disaster management
Wenjuan Sun, Paolo Bocchini, Brian D. Davison
Natural Hazards (2020) Vol. 103, Iss. 3, pp. 2631-2689
Closed Access | Times Cited: 287
Generative adversarial network for road damage detection
Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 1, pp. 47-60
Closed Access | Times Cited: 245
Vibration‐based structural state identification by a 1‐dimensional convolutional neural network
Youqi Zhang, Yasunori Miyamori, Shuichi Mikami, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 822-839
Closed Access | Times Cited: 244
Deep neural network with high‐order neuron for the prediction of foamed concrete strength
Tuan Ngoc Nguyen, Alireza Kashani, Tuan Ngo, et al.
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 34, Iss. 4, pp. 316-332
Open Access | Times Cited: 226
A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation
Dong Van Dao, Hojjat Adeli, Hai‐Bang Ly, et al.
Sustainability (2020) Vol. 12, Iss. 3, pp. 830-830
Open Access | Times Cited: 178
Concrete crack detection using context‐aware deep semantic segmentation network
Xinxiang Zhang, Dinesh Rajan, Brett Story
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 11, pp. 951-971
Closed Access | Times Cited: 167
Efficient training of physics‐informed neural networks via importance sampling
Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 8, pp. 962-977
Open Access | Times Cited: 163
Disruptive technologies as a solution for disaster risk management: A review
Hafiz Suliman Munawar, Mohammad Mojtahedi, Ahmed W. A. Hammad, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 151351-151351
Closed Access | Times Cited: 127
Vulnerability and resilience of transportation systems: A recent literature review
Shouzheng Pan, Hai Yan, Jia He, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 581, pp. 126235-126235
Closed Access | Times Cited: 113
Programmable multi-physical mechanics of mechanical metamaterials
P K Sinha, T. Mukhopadhyay
Materials Science and Engineering R Reports (2023) Vol. 155, pp. 100745-100745
Open Access | Times Cited: 81
Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs – An earthquake engineering perspective
Ao Du, Xiaowei Wang, Yazhou Xie, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109104-109104
Closed Access | Times Cited: 67
Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis
Mahmoud Owais, Abdullah Mohammed Alshehri, Jayadev Gyani, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123114-123114
Closed Access | Times Cited: 24
A review of deep learning in the study of materials degradation
Will Nash, Tom Drummond, N. Birbilis
npj Materials Degradation (2018) Vol. 2, Iss. 1
Open Access | Times Cited: 144
Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning
Futao Ni, Jian Zhang, Zhiqiang Chen
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 34, Iss. 5, pp. 367-384
Closed Access | Times Cited: 136
A novel end‐to‐end deep learning scheme for classifying multi‐class motor imagery electroencephalography signals
Ahmad Hassanpour, Majid Moradikia, Hojjat Adeli, et al.
Expert Systems (2019) Vol. 36, Iss. 6
Closed Access | Times Cited: 131
A deep‐learning‐based computer vision solution for construction vehicle detection
Saeed Arabi, Arya Haghighat, Anuj Sharma
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 7, pp. 753-767
Open Access | Times Cited: 124
A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information
Sikai Chen, Yue Leng, Samuel Labi
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 4, pp. 305-321
Closed Access | Times Cited: 122
Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation
Yuqing Gao, Boyuan Kong, Khalid M. Mosalam
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 755-773
Closed Access | Times Cited: 117
Detecting safety helmet wearing on construction sites with bounding‐box regression and deep transfer learning
Jie Shen, Xin Xiong, Ying Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 2, pp. 180-196
Closed Access | Times Cited: 109
Artificial intelligence-enabled smart mechanical metamaterials: advent and future trends
Pengcheng Jiao, Amir H. Alavi
International Materials Reviews (2020) Vol. 66, Iss. 6, pp. 365-393
Open Access | Times Cited: 96
A graph deep learning method for short‐term traffic forecasting on large road networks
Yang Zhang, Tao Cheng, Yibin Ren
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 10, pp. 877-896
Open Access | Times Cited: 88
A methodology for obtaining spatiotemporal information of the vehicles on bridges based on computer vision
Bo Zhang, Liming Zhou, Jian Zhang
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 6, pp. 471-487
Closed Access | Times Cited: 84
Artificial intelligence in seismology: Advent, performance and future trends
Pengcheng Jiao, Amir H. Alavi
Geoscience Frontiers (2019) Vol. 11, Iss. 3, pp. 739-744
Open Access | Times Cited: 80
SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection
Omar M. Saad, Guangtan Huang, Yunfeng Chen, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 4
Closed Access | Times Cited: 65
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