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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:

GPT models in construction industry: Opportunities, limitations, and a use case validation
Abdullahi B. Saka, Ridwan Taiwo, Nurudeen Saka, et al.
Developments in the Built Environment (2023) Vol. 17, pp. 100300-100300
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Generative AI design for building structures
Wenjie Liao, Xinzheng Lu, Yifan Fei, et al.
Automation in Construction (2023) Vol. 157, pp. 105187-105187
Closed Access | Times Cited: 60
Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
Buildings (2024) Vol. 14, Iss. 1, pp. 220-220
Open Access | Times Cited: 31
PROJECT MANAGEMENT STRATEGIES FOR ACCELERATING ENERGY EFFICIENCY IN HVAC SYSTEMS AMIDST CLIMATE CHANGE
Wisdom Ebirim, Nwakamma Ninduwezuor-Ehiobu, Favour Oluwadamilare Usman, et al.
International Journal of Management & Entrepreneurship Research (2024) Vol. 6, Iss. 3, pp. 512-525
Open Access | Times Cited: 15
A perspective on the artificial intelligence’s transformative role in advancing diffractive optics
Svetlana N. Khonina, Nikolay L. Kazanskiy, Albert Efimov, et al.
iScience (2024) Vol. 27, Iss. 7, pp. 110270-110270
Open Access | Times Cited: 15
Generative artificial intelligence in construction: A Delphi approach, framework, and case study
Ridwan Taiwo, Idris Temitope Bello, Sulemana Fatoama Abdulai, et al.
Alexandria Engineering Journal (2025) Vol. 116, pp. 672-698
Closed Access | Times Cited: 2
Integrating Building Information Modelling (BIM) with ChatGPT, Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 24
Highway Construction Safety Analysis Using Large Language Models
Mason Smetana, Lucio Salles de Salles, Igor Sukharev, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1352-1352
Open Access | Times Cited: 8
Making waves: Generative artificial intelligence in water distribution networks: Opportunities and challenges
Ridwan Taiwo, Abdul‐Mugis Yussif, Tarek Zayed
Water Research X (2025) Vol. 28, pp. 100316-100316
Closed Access | Times Cited: 1
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: 20
Designing Incremental Knowledge Enrichment in Generative Pre-trained Transformers
Emilia A. Kowalczyk, Mateusz Nowakowski, Z Brzezińska
Research Square (Research Square) (2024)
Open Access | Times Cited: 7
THE IMPACT OF TECHNICAL SAFETY AND INTEGRITY VERIFICATION ON PROJECT DELIVERY AND ASSET PERFORMANCE
Patrick Oputa Odili, Cosmas Dominic Daudu, Adedayo Adefemi, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 2, pp. 555-568
Open Access | Times Cited: 5
A GPT-Powered Assistant for Real-Time Interaction with Building Information Models
David Fernandes, Sahej Garg, Matthew Nikkel, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2499-2499
Open Access | Times Cited: 5
Performance comparison of retrieval-augmented generation and fine-tuned large language models for construction safety management knowledge retrieval
Jungwon Lee, Seungjun Ahn, Daeho Kim, et al.
Automation in Construction (2024) Vol. 168, pp. 105846-105846
Closed Access | Times Cited: 5
Augmenting general-purpose large-language models with domain-specific multimodal knowledge graph for question-answering in construction project management
Shenghua Zhou, Keyan Liu, Dezhi Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103142-103142
Closed Access
Ready for departure: Factors to adopt Large Language Model (LLM)-based Artificial Intelligence (AI) technology in the architecture, engineering and construction (AEC) industry
Seokjae Heo
Results in Engineering (2025), pp. 104325-104325
Open Access
Analyzing mixed construction and demolition waste in material recovery facilities: Evolution, challenges, and applications of computer vision and deep learning
Adrian Langley, Matthew Lonergan, Tao Huang, et al.
Resources Conservation and Recycling (2025) Vol. 217, pp. 108218-108218
Open Access
Evolution analysis of mechanical behaviours of through‑silicon via under thermal cycling load
Kaihong Hou, Zhengwei Fan, Xun Chen, et al.
Microelectronics Reliability (2025) Vol. 167, pp. 115647-115647
Closed Access
Advancing drug discovery and development through GPT models: A review on challenges, innovations and future prospects
Zhinya Kawa Othman, Mohamed Mustaf Ahmed, Olalekan John Okesanya, et al.
Intelligence-Based Medicine (2025) Vol. 11, pp. 100233-100233
Open Access
Transforming Architecture, Engineering, and Construction (AEC) Workflows with Generative AI: Opportunities, Risks, and Future Directions
Ruoxin Xiong, Yael Netser, Pingbo Tang, et al.
(2025)
Closed Access
Using Generative Pre-Trained Transformer-4 (GPT-4), ffmpeg, and Microsoft Azure to Aid in Creating a Text-to-Video Generation Tool to Improve Safety Shares and Incident Descriptions in the Mining Industry
Tulio Dias de Almeida, Nelson Oliveira, Chun Lin He, et al.
Mining Metallurgy & Exploration (2025)
Closed Access
Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT
P. V. I. N. Saparamadu, Samad M. E. Sepasgozar, R. N. D. Guruge, et al.
Buildings (2025) Vol. 15, Iss. 7, pp. 1144-1144
Open Access
Application of Intelligent Low‐Cost Accelerometers for Bridge Monitoring With a Deep Learning Approach
Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, Ye Xia
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle
Christian Nnaemeka Egwim, Hafiz Alaka, Eren Demir, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 182-182
Open Access | Times Cited: 11
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: 11
Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation
S Selva Kumar, Afifah Khan Mohammed Ajmal Khan, Imadh Ajaz Banday, et al.
(2024) Vol. 33, pp. 1-6
Open Access | Times Cited: 4
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