
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:
Artificial Intelligence and Deep Learning in Civil Engineering
Ayla Ocak, Sinan Melih Niğdeli, Gebrai̇l Bekdaş, et al.
Studies in systems, decision and control (2023), pp. 265-288
Closed Access | Times Cited: 8
Ayla Ocak, Sinan Melih Niğdeli, Gebrai̇l Bekdaş, et al.
Studies in systems, decision and control (2023), pp. 265-288
Closed Access | Times Cited: 8
Showing 8 citing articles:
Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 19
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 19
Artificial Intelligence-Aided Design (AIAD) for Structures and Engineering: A State-of-the-Art Review and Future Perspectives
Ao Yu, Shaofan Li, Huiling Duan
Archives of Computational Methods in Engineering (2025)
Open Access
Ao Yu, Shaofan Li, Huiling Duan
Archives of Computational Methods in Engineering (2025)
Open Access
Quantitative multi-index residual capacities assessment of structural components through deep-learning-based image processing: A proof-of-concept study on masonry walls
Wen-Zheng Cai, Shi‐Zhi Chen, De‐Cheng Feng, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103185-103185
Closed Access
Wen-Zheng Cai, Shi‐Zhi Chen, De‐Cheng Feng, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103185-103185
Closed Access
A Conversational Intelligent Assistant for Enhanced Operational Support in Floodplain Management with Multimodal Data
Vinay Pursnani, Yusuf Sermet, İbrahim Demir
International Journal of Disaster Risk Reduction (2025), pp. 105422-105422
Closed Access
Vinay Pursnani, Yusuf Sermet, İbrahim Demir
International Journal of Disaster Risk Reduction (2025), pp. 105422-105422
Closed Access
Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates
Ayla Ocak, Gebrai̇l Bekdaş, Ümit Işıkdağ, et al.
Journal of Building Engineering (2024), pp. 110737-110737
Closed Access | Times Cited: 3
Ayla Ocak, Gebrai̇l Bekdaş, Ümit Işıkdağ, et al.
Journal of Building Engineering (2024), pp. 110737-110737
Closed Access | Times Cited: 3
Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges
Nitin Liladhar Rane, Saurabh P. Choudhary, Jayesh Rane
International Journal of Architecture and Planning (2023) Vol. 3, Iss. 2, pp. 92-124
Open Access | Times Cited: 10
Nitin Liladhar Rane, Saurabh P. Choudhary, Jayesh Rane
International Journal of Architecture and Planning (2023) Vol. 3, Iss. 2, pp. 92-124
Open Access | Times Cited: 10
Enhancing the Accuracy of Low-Cost Inclinometers with Artificial Intelligence
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 519-519
Open Access | Times Cited: 3
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 519-519
Open Access | Times Cited: 3
Machine Learning Applications in Structural Engineering
Ayla Ocak, Gebrai̇l Bekdaş, Sinan Melih Niğdeli, et al.
Studies in systems, decision and control (2024), pp. 47-76
Closed Access
Ayla Ocak, Gebrai̇l Bekdaş, Sinan Melih Niğdeli, et al.
Studies in systems, decision and control (2024), pp. 47-76
Closed Access
Predictive modeling of compressive strength of geopolymer concrete before and after high temperature applying machine learning algorithms
Haifeng Yang, Hongrui Li, Jiasheng Jiang
Structural Concrete (2024)
Closed Access
Haifeng Yang, Hongrui Li, Jiasheng Jiang
Structural Concrete (2024)
Closed Access
Regression Model Approach Towards Concrete Compressive Strength Prediction and Evaluation
Vijayalakshmi G. V. Mahesh, CP Achyutha Gowda, Alla Vamsi Krishna, et al.
Communications in computer and information science (2024), pp. 72-83
Closed Access
Vijayalakshmi G. V. Mahesh, CP Achyutha Gowda, Alla Vamsi Krishna, et al.
Communications in computer and information science (2024), pp. 72-83
Closed Access