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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:

Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction
Leila Farahzadi, Mahdi Kioumarsi
Journal of Cleaner Production (2022) Vol. 384, pp. 135504-135504
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Compressive strength of concrete containing furnace blast slag; optimized machine learning-based models
Mahdi Kioumarsi, Hamed Dabiri, Amirreza Kandiri, et al.
Cleaner Engineering and Technology (2023) Vol. 13, pp. 100604-100604
Open Access | Times Cited: 52
Estimation of transport CO2 emissions using machine learning algorithm
Shengwei Li, Zeping Tong, Muhammad Haroon
Transportation Research Part D Transport and Environment (2024) Vol. 133, pp. 104276-104276
Closed Access | Times Cited: 21
Preliminary Environmental Assessment of Ultra-High-Performance Concrete Mixtures
Leila Farahzadi, Saeed Bozorgmehr Nia, Behrouz Shafei, et al.
Lecture notes in civil engineering (2025), pp. 589-598
Closed Access | Times Cited: 1
Automated machine learning techniques for estimating the unconfined compressive strength of soil stabilization
Lei Wang
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access | Times Cited: 1
Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm
Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated temperature
Pankaj Kumar Dash, Suraj Kumar Parhi, Sanjaya Kumar Patro, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132814-132814
Closed Access | Times Cited: 29
A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies
Sachin Kumar
Ecological Informatics (2023) Vol. 77, pp. 102253-102253
Closed Access | Times Cited: 24
Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art
Haidar Hosamo, Guilherme B. A. Coelho, Elsa Buvik, et al.
Building and Environment (2024) Vol. 264, pp. 111922-111922
Open Access | Times Cited: 10
Potential of Advanced Technologies for Environmental Management Systems
Mariya Sira
Management Systems in Production Engineering (2024) Vol. 32, Iss. 1, pp. 33-44
Open Access | Times Cited: 9
Predicting the elastic modulus of normal and high strength concretes using hybrid ANN-PSO
Masoud Ahmadi, Mahdi Kioumarsi
Materials Today Proceedings (2023)
Open Access | Times Cited: 20
A factorial-analysis-based Bayesian neural network method for quantifying China's CO2 emissions under dual-carbon target
Ziyi Wang, Yongping Li, Guohe Huang, et al.
The Science of The Total Environment (2024) Vol. 920, pp. 170698-170698
Closed Access | Times Cited: 7
Carbon emission evaluation of eight different prefabricated components during the materialization stage
Aiyan Xu, Yiyun Zhu, Zhengping Wang
Journal of Building Engineering (2024) Vol. 89, pp. 109262-109262
Closed Access | Times Cited: 7
Reducing Carbon Emissions from Prefabricated Decoration: A Case Study of Residential Buildings in China
Ji Bian, Changchun Liu, Chunyang Zuo, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 6
ChatGPT and the future of impact assessment
Mehreen Khan, Muhammad Nawaz Chaudhry, Muhammad Ahsan, et al.
Environmental Science & Policy (2024) Vol. 157, pp. 103779-103779
Closed Access | Times Cited: 6
Towards sustainable industry 4.0: A survey on greening IoE in 6G networks
Saeed Hamood Alsamhi, Ammar Hawbani, Radhya Sahal, et al.
Ad Hoc Networks (2024) Vol. 165, pp. 103610-103610
Open Access | Times Cited: 6
AI in Structural Health Monitoring for Infrastructure Maintenance and Safety
Vagelis Plevris, George Papazafeiropoulos
Infrastructures (2024) Vol. 9, Iss. 12, pp. 225-225
Open Access | Times Cited: 6
Enhancing unconfined compressive strength of stabilized soil with lime and cement prediction through a robust hybrid machine learning approach utilizing Naive Bayes Algorithm
Weiqing Wan
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 5
Preliminary Life Cycle Assessment and Environmental Impact Evaluation of RC Bridge Deck: A Case Study in Norway
Leila Farahzadi, Mahdi Kioumarsi
Lecture notes in civil engineering (2024), pp. 233-244
Closed Access | Times Cited: 5
Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review
Suhaib Rasool Wani, Manju Suthar
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 5
Machine Learning-Driven Optimization for Predicting Compressive Strength in Fly Ash Geopolymer Concrete
Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi
Cleaner Engineering and Technology (2025), pp. 100899-100899
Open Access
Sustainability assessment of ultra-high performance concrete made with various supplementary cementitious materials
Leila Farahzadi, Saeed Bozorgmehr Nia, Behrouz Shafei, et al.
Cleaner Materials (2025), pp. 100301-100301
Open Access
Porous Mortars Incorporating Active Biochar from Olive Stone Waste and Recycled Masonry Aggregate: Effects of Accelerated Carbonation Curing
Antonio Manuel Merino-Lechuga, Ágata González-Caro, Álvaro Caballero, et al.
Materials (2025) Vol. 18, Iss. 4, pp. 904-904
Open Access
An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO 2 emission
Van Giao Nguyen, Xuan Quang Duong, Lan Huong Nguyen, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9149-9177
Closed Access | Times Cited: 14
Development of a machine learning model for predicting abnormalities of commercial airplanes
Rossi Passarella, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.
Data Science and Management (2024) Vol. 7, Iss. 3, pp. 256-265
Open Access | Times Cited: 4
Environmental Assessment of Fiber-Reinforced Self-Compacting Concrete Containing Class-F Fly Ash
Behnoosh Khataei, Masoud Ahmadi, Mahdi Kioumarsi
Lecture notes in civil engineering (2025), pp. 377-388
Closed Access
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