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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:

Compressive strength prediction of PET fiber-reinforced concrete using Dolphin echolocation optimized decision tree-based machine learning algorithms
Suraj Kumar Parhi, Sanjaya Kumar Patro
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 977-996
Closed Access | Times Cited: 21

Showing 21 citing articles:

AI-driven critical parameter optimization of sustainable self-compacting geopolymer concrete
Suraj Kumar Parhi, Saswat Dwibedy, Saubhagya Kumar Panigrahi
Journal of Building Engineering (2024) Vol. 86, pp. 108923-108923
Closed Access | Times Cited: 25
Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete
Suraj Kumar Parhi, Soumyaranjan Panda, Saswat Dwibedy, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2901-2928
Closed Access | Times Cited: 16
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: 32
Influence of chemical constituents of binder and activator in predicting compressive strength of fly ash-based geopolymer concrete using firefly-optimized hybrid ensemble machine learning model
Pankaj Kumar Dash, Suraj Kumar Parhi, Sanjaya Kumar Patro, et al.
Materials Today Communications (2023) Vol. 37, pp. 107485-107485
Closed Access | Times Cited: 26
Application of R-curve, ANCOVA, and RSM techniques on fracture toughness enhancement in PET fiber-reinforced concrete
Suraj Kumar Parhi, Sanjaya Kumar Patro
Construction and Building Materials (2023) Vol. 411, pp. 134644-134644
Closed Access | Times Cited: 18
Factors affecting the structural performance of geopolymer concrete beam composites
Saswat Dwibedy, Saubhagya Kumar Panigrahi
Construction and Building Materials (2023) Vol. 409, pp. 134129-134129
Closed Access | Times Cited: 17
Towards improved flexural behavior of plastic-based mortars: An experimental and modeling study on waste material incorporation
Yingjie Li, Genhui Wang, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 40, pp. 109391-109391
Closed Access | Times Cited: 5
Performance of precursor characteristics in the realization of geopolymer concrete: a review
Saswat Dwibedy, Suraj Kumar Parhi, Soumyaranjan Panda, et al.
Magazine of Concrete Research (2024) Vol. 76, Iss. 24, pp. 1404-1423
Closed Access | Times Cited: 5
Sustainable high-performance concrete with sugar factory lime waste -activated slag and fiber reinforcement: Mechanical properties and environmental impact
Hadi Bahmani, Davood Mostofinejad
Construction and Building Materials (2025) Vol. 464, pp. 140202-140202
Closed Access
Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate–N concentrations in the lower stretch of Ganga River, India
Basanta Kumar Das, Soumitra Paul, Biswajit Mandal, et al.
Environmental Science and Pollution Research (2025)
Closed Access
An improved decision tree model through hyperparameter optimization using a modified gray wolf optimization for diabetes classification
Muhammad Sam’an, Farikhin, Muhammad Munsarif
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-17
Closed Access
Application of metaheuristic spotted hyena optimization in strength prediction of concrete
Suraj Kumar Parhi, Saubhagya Kumar Panigrahi
Elsevier eBooks (2025), pp. 229-248
Closed Access
Machine learning approach for predicting the compressive strength of ultra-high performance fiber reinforced concrete (UHPFRC)
S. Wijesundara, K. K. Wijesundara, Sahan Bandara
Structures (2025) Vol. 75, pp. 108704-108704
Closed Access
Application of machine learning approach on halal meat authentication principle, challenges, and prospects: A review
Abdul Raufu Mustapha, Iskandar Ishak, Nor Nadiha Mohd Zaki, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32189-e32189
Open Access | Times Cited: 4
Parametric Analysis and Prediction of Geopolymerization Process
Suraj Kumar Parhi, Sanjaya Kumar Patro
Materials Today Communications (2024), pp. 111047-111047
Closed Access | Times Cited: 4
Geotechnical Characterization and Stability Prediction of Nano-Silica-Stabilized Slopes: A Machine Learning Approach to Mitigating Geological Hazards
Ishwor Thapa, Sufyan Ghani, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Open Access
Exploring the effect of polyoxymethylene fiber on concrete toughness and self-sensing capability of concrete cracking under bending
Yining Ding, Wei Guo, Dongsheng Li, et al.
Construction and Building Materials (2024) Vol. 454, pp. 138933-138933
Closed Access | Times Cited: 3
Multi-objective optimization and prediction of strength along with durability in acid-resistant self-compacting alkali-activated concrete
Suraj Kumar Parhi, Ashutosh Nanda, Saubhagya Kumar Panigrahi
Construction and Building Materials (2024) Vol. 456, pp. 139235-139235
Closed Access | Times Cited: 2
Unveiling the nexus between atmospheric visibility, remotely sensed pollutants, and climatic variables across diverse topographies: A data-driven exploration empowered by artificial intelligence
Sadaf Javed, Muhammad Imran Shahzad, Imran Shahid
Atmospheric Pollution Research (2024) Vol. 15, Iss. 9, pp. 102200-102200
Closed Access | Times Cited: 1
Predicting split tensile strength in Portland and geopolymer concretes using machine learning algorithms: a comparative study
Rajesh Kumar Paswan, Abhilash Gogineni, Sanjay Sharma, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 1
Compressive strength prediction of high-performance concrete: Integrating multi-ingredient influences and mix proportion insights
Qingqing Chen, Jie Zhang, Linghao Zhang, et al.
Construction and Building Materials (2024) Vol. 451, pp. 138791-138791
Closed Access
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