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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:

Information fusion for automated post-disaster building damage evaluation using deep neural network
Limao Zhang, Yue Pan
Sustainable Cities and Society (2021) Vol. 77, pp. 103574-103574
Closed Access | Times Cited: 20

Showing 20 citing articles:

Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions
Yue Pan, Limao Zhang
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 1081-1110
Closed Access | Times Cited: 182
Deep learning model for predicting tunnel damages and track serviceability under seismic environment
Abdullah Ansari, K. Seshagiri Rao, A. K. Jain, et al.
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 1, pp. 1349-1368
Open Access | Times Cited: 56
An automated machine learning approach for earthquake casualty rate and economic loss prediction
Weiyi Chen, Limao Zhang
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108645-108645
Closed Access | Times Cited: 29
Automated vision-based structural health inspection and assessment for post-construction civil infrastructure
Isaac Osei Agyemang, Xiaoling Zhang, Isaac Adjei-Mensah, et al.
Automation in Construction (2023) Vol. 156, pp. 105153-105153
Closed Access | Times Cited: 17
Building vulnerability assessment in seismic areas using ensemble learning: A Nepal case study
Weiyi Chen, Limao Zhang
Journal of Cleaner Production (2022) Vol. 350, pp. 131418-131418
Closed Access | Times Cited: 25
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
Lingyao Li, Michelle Bensi, Gregory B. Baecher
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104062-104062
Closed Access | Times Cited: 14
An investigation using resampling techniques and explainable machine learning to minimize fire losses in residential buildings
Zenghui Liu, Yingnan Zhuang
Journal of Building Engineering (2024) Vol. 95, pp. 110080-110080
Closed Access | Times Cited: 5
Machine Learning for Defect Condition Rating of Wall Wooden Columns in Ancient Buildings
Yufeng Li, Wu Ouyang, Zhenbo Xin, et al.
Case Studies in Construction Materials (2025), pp. e04458-e04458
Open Access
Real-time bridge disaster management: Enabling technology and application framework
Hui Deng, Haijiang Li, Lueqin Xu, et al.
Automation in Construction (2025) Vol. 174, pp. 106150-106150
Closed Access
A globalized robust optimization method for sustainable humanitarian relief network design with uncertain scenario probabilities
Zhifei Wang, Baoding Liu, Wenfei Li
Sustainable Cities and Society (2023) Vol. 97, pp. 104729-104729
Closed Access | Times Cited: 10
Intelligent Damage Assessment for Post-Earthquake Buildings Using Computer Vision and Augmented Reality
Zhansheng Liu, Jie Xue, Naiqiang Wang, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5591-5591
Open Access | Times Cited: 9
Dynamic prediction and multi-objective optimization on driving position of tunnel boring machine (TBM): an automated deep learning approach
Yue Pan, Ziyi Wang, Lin Sun, et al.
Acta Geotechnica (2024) Vol. 19, Iss. 8, pp. 5611-5636
Closed Access | Times Cited: 2
Real-time seismic damage simulation for urban building portfolio based on basic building information and machine learning
Shuang Li, Changqing Li, Yuwen Huang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 111, pp. 104687-104687
Closed Access | Times Cited: 2
A Novel Approach to Discriminate Between Structural and Non‐Structural Post‐Earthquake Damage in RC Structures
Beyza Gultekin, Gamze Doğan
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
Usman Ahmad Usmani, Mohammed Umar Usmani
(2023), pp. 1-8
Closed Access | Times Cited: 5
A novel probabilistic modeling framework for wind speed with highlight of extremes under data discrepancy and uncertainty
Yue Pan, Jianjun Qin
Applied Energy (2022) Vol. 326, pp. 119938-119938
Closed Access | Times Cited: 8
Multi-objective optimization for enhancing hospital network resilience under earthquakes
Weiyi Chen, Maozhi Wu, Limao Zhang, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 82, pp. 103281-103281
Closed Access | Times Cited: 6
Damage identification based on the inner product matrix and parallel convolution neural network for frame structure
Yingying He, Feng Ji, Bao‐Gang Sun, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deep Learning-Based Post-Earthquake Structural Damage Recognition
Than Van Tran, Xuân Hùng Nguyễn, Timon Rabczuk, et al.
(2024)
Closed Access
Simulating and visualising indoor seismic damage: A systematic literature review
Noushin Naraghi, Zhenan Feng, Ruggiero Lovreglio, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 115, pp. 104979-104979
Closed Access
Real-Time Seismic Damage Simulation for Urban Building Portfolio Based on Basic Building Information and Machine Learning
Shuang Li, Changqing Li, Yuwen Huang, et al.
(2023)
Closed Access | Times Cited: 1
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