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:

Classification and analysis of deep learning applications in construction: A systematic literature review
Rana Khallaf, Mohamed Khallaf
Automation in Construction (2021) Vol. 129, pp. 103760-103760
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Machine learning in concrete science: applications, challenges, and best practices
Zhanzhao Li, Jinyoung Yoon, Rui Zhang, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 182

Machine learning techniques for pavement condition evaluation
Nima Sholevar, Amir Golroo, Sahand Roghani Esfahani
Automation in Construction (2022) Vol. 136, pp. 104190-104190
Closed Access | Times Cited: 122

Challenges of urban digital twins: A systematic review and a Delphi expert survey
Binyu Lei, Patrick Janssen, Jantien Stoter, et al.
Automation in Construction (2023) Vol. 147, pp. 104716-104716
Open Access | Times Cited: 103

Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm
Tao Yan, Shui‐Long Shen, Annan Zhou, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1292-1303
Closed Access | Times Cited: 100

A review of spatially-explicit GeoAI applications in Urban Geography
Pengyuan Liu, Filip Biljecki
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102936-102936
Open Access | Times Cited: 97

Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches
Adnan Dehghani, Hamza Mohammad Zakir Hiyat Moazam, Fatemehsadat Mortazavizadeh, et al.
Ecological Informatics (2023) Vol. 75, pp. 102119-102119
Closed Access | Times Cited: 69

Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity classification
Nhat‐Duc Hoang, Tran Van-Duc
Automation in Construction (2023) Vol. 148, pp. 104767-104767
Closed 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

A multi-channel decoupled deep neural network for tunnel boring machine torque and thrust prediction
Honggan Yu, Chengjin Qin, Jianfeng Tao, et al.
Tunnelling and Underground Space Technology (2023) Vol. 133, pp. 104949-104949
Closed Access | Times Cited: 47

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

Transforming knowledge management in the construction industry through information and communications technology: A 15-year review
Hui Deng, Yiwen Xu, Yichuan Deng, et al.
Automation in Construction (2022) Vol. 142, pp. 104530-104530
Closed Access | Times Cited: 42

Computer vision for anatomical analysis of equipment in civil infrastructure projects: Theorizing the development of regression-based deep neural networks
Mehrdad Arashpour, Vineet R. Kamat, Amin Heidarpour, et al.
Automation in Construction (2022) Vol. 137, pp. 104193-104193
Closed Access | Times Cited: 40

Automating the retrospective generation of As-is BIM models using machine learning
Phillip Schönfelder, Angelina Aziz, Benedikt Faltin, et al.
Automation in Construction (2023) Vol. 152, pp. 104937-104937
Open Access | Times Cited: 26

CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes
Chengjia Han, Handuo Yang, Tao Ma, et al.
Automation in Construction (2024) Vol. 160, pp. 105332-105332
Closed Access | Times Cited: 9

Vision-based real-time process monitoring and problem feedback for productivity-oriented analysis in off-site construction
Xue Chen, Yiheng Wang, Jingwen Wang, et al.
Automation in Construction (2024) Vol. 162, pp. 105389-105389
Closed Access | Times Cited: 9

Performance Study of Hard Rock Cantilever Roadheader Based on PCA and DBN
Desai Guo, Zhanping Song, Naifei Liu, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 4, pp. 2605-2623
Closed Access | Times Cited: 7

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

Review of Digital Twins for Constructed Facilities
Rana Khallaf, Lama Khallaf, Chimay Anumba, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 2029-2029
Open Access | Times Cited: 30

Deep learning-assisted automated sewage pipe defect detection for urban water environment management
Lianpeng Sun, Jinjun Zhu, Jinxin Tan, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163562-163562
Closed Access | Times Cited: 21

A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry
Vishnuprasad V Prabhakar, C.S. Belarmin Xavier, K.M. Abubeker
Materials Today Proceedings (2023)
Closed Access | Times Cited: 19

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research topic
Zhipeng Zhou, Lixuan Wei, Jingfeng Yuan, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102144-102144
Closed Access | Times Cited: 16

Artificial intelligence in construction: Topic-based technology mapping based on patent data
Guangbin Wang, Yiwei Zhou, Dongping Cao
Automation in Construction (2025) Vol. 172, pp. 106073-106073
Closed Access

Systematic review on the integration of building information modelling and prefabrication construction for low-carbon building delivery
Sitsofe Kwame Yevu, Emmanuel Kingsford Owusu, Albert P.C. Chan, et al.
Building Research & Information (2022) Vol. 51, Iss. 3, pp. 279-300
Closed Access | Times Cited: 22

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