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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:

Artificial Neural Networks for Sustainable Development of the Construction Industry
Mohd. Ahmed, Saeed Alqadhi, Javed Mallick, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 14738-14738
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Smart materials and technologies for sustainable concrete construction
Jonny Nilimaa
Developments in the Built Environment (2023) Vol. 15, pp. 100177-100177
Open Access | Times Cited: 136
Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment
Ke Wang, Ziyi Ying, Shankha Shubhra Goswami, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11848-11848
Open Access | Times Cited: 35
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 | Times Cited: 1
A Novel Hybrid Methodology to Study the Risk Management of Prefabricated Building Supply Chains: An Outlook for Sustainability
Tian Zhu, Guangchen Liu
Sustainability (2022) Vol. 15, Iss. 1, pp. 361-361
Open Access | Times Cited: 29
Forecasting the Production Indicators of a Construction and Installation Company: Using the Example of Trest 12 JSC
Sanobar Akhmedova, Shoh-Jаkhon Khаmdаmov, Самариддин Махмудов, et al.
Lecture notes in networks and systems (2025), pp. 567-575
Closed Access
Assessing the Influence of Sustainability Using Artificial Neural Networks in Construction Projects
Manikandaprabhu Sundaramoorthy, D. K. Sahu, R. Varadharajan, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2320-2320
Open Access
Optimizing Residential Construction Site Selection in Mountainous Regions Using Geospatial Data and eXplainable AI
Dhafer Alqahtani, Javed Mallick, Abdulmohsen M. Alqahtani, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4235-4235
Open Access | Times Cited: 3
A systematic review of current AI techniques used in the context of the SDGs
Lucas Greif, Fabian Röckel, Andreas Kimmig, et al.
International Journal of Environmental Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Evaluating Building Construction Safety Performance in Different Regions in China
Jiaying Xu, Qingfeng Meng, Xiaoliang Li, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1845-1845
Open Access | Times Cited: 7
A New Era of Automation in the Construction Industry: Implementing Leading-Edge Generative Artificial Intelligence, such as ChatGPT or Bard
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2
A Final Cost Estimating Model for Building Renovation Projects
Vasso E. Papadimitriou, Georgios Aretoulis
Buildings (2024) Vol. 14, Iss. 4, pp. 1072-1072
Open Access | Times Cited: 2
Incorporating Artificial Intelligence Applications in Flexible Pavements: A Comprehensive Overview
Saadeddine Ramadan, Hussein Kassem, Adel Elkordi, et al.
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 2
Integrating machine learning for the sustainable development of smart cities
Manel Mrabet, Maha Sliti
Frontiers in Sustainable Cities (2024) Vol. 6
Open Access | Times Cited: 2
A sustainable health and educational goal development (SHEGD) prediction using metaheuristic extreme learning algorithms
R. Jagadeesh Kannan, Muraleedharan Manningal
Automatika (2024) Vol. 65, Iss. 3, pp. 716-725
Open Access | Times Cited: 1
Artificial Intelligence Enabling Sustainable Construction: A Systematic Review
Vaishnavi Jagalur Ramachandra, Naila Mahaveen, Siddharth Banerjee, et al.
Construction Research Congress 2022 (2024), pp. 600-609
Closed Access | Times Cited: 1
Artificial intelligence acceptance and implementation in construction industry: factors, current trends, and challenges
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Prediction of California bearing ratio using hybrid regression models
Weiwei Wang, Long Zhao, Daoliang Dong
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 6405-6418
Closed Access | Times Cited: 1
A systematic review on green practices in the Malaysian construction industry: Status, challenges, key motivations, rating systems and technology evolution
Rohimatu Toyibah Masyhur, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Energy and Buildings (2024) Vol. 320, pp. 114550-114550
Closed Access | Times Cited: 1
Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review
Yanxue Li, Maxwell Fordjour Antwi‐Afari, Shahnawaz Anwer, et al.
Buildings (2024) Vol. 14, Iss. 9, pp. 2752-2752
Open Access | Times Cited: 1
A Quality Control Improvement Model That Takes into Account the Sustainability Concept and KPIs
Andrzej Pacana, Karolina Czerwińska
Sustainability (2023) Vol. 15, Iss. 12, pp. 9627-9627
Open Access | Times Cited: 3
A prediction of the printability of concrete through Artificial Neural Networks (ANN)
Andrea Castro Marcucci, Cesare Gaggiotti, Liberato Ferarra
Materials Today Proceedings (2023)
Closed Access | Times Cited: 2
Artificial intelligence application in adsorption of uremic toxins: Towards the eco-friendly design of highly efficient with potential applications as hemodialysis membranes
Miguel A. Álvarez, Francisco Carrasco-Marı́n, Walter M. Warren‐Vega, et al.
Environmental Research (2023) Vol. 241, pp. 117671-117671
Closed Access | Times Cited: 2
Modelling the Yield and Estimating the Energy Properties of Miscanthus x Giganteus in Different Harvest Periods
Ivan Brandić, Neven Voća, Josip Leto, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 423-437
Open Access
Machine Cost-Effectiveness in Earthworks: Early Warning System and Status of the Previous Work Period
Martina Šopić, Mladen Vukomanović, Diana Car-Pušić
Sustainability (2024) Vol. 16, Iss. 17, pp. 7294-7294
Open Access
Geographic Information System and AI Integration to Support Sustainable Environment
Rahyab Ahmed Khan, Munaza Bibi, Maryam Khokhar, et al.
Advances in geospatial technologies book series (2024), pp. 145-176
Closed Access
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