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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:

Expansion prediction of alkali aggregate reactivity-affected concrete structures using a hybrid soft computing method
Yang Yu, Chunwei Zhang, Xiaoyu Gu, et al.
Neural Computing and Applications (2018) Vol. 31, Iss. 12, pp. 8641-8660
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Prediction of thermo-mechanical properties of rubber-modified recycled aggregate concrete
Wanhui Feng, Yufei Wang, Junbo Sun, et al.
Construction and Building Materials (2021) Vol. 318, pp. 125970-125970
Closed Access | Times Cited: 111
Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review
Rakesh Kumar, Baboo Rai, Pijush Samui
Structural Concrete (2024)
Closed Access | Times Cited: 16
Bio-inspired weighed quantum particle swarm optimization and smooth support vector machine ensembles for identification of abnormalities in medical data
T. P. Latchoumi, T. P. Ezhilarasi, K. Balamurugan
SN Applied Sciences (2019) Vol. 1, Iss. 10
Open Access | Times Cited: 120
Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model
Yimiao Huang, Junfei Zhang, Foo Tze Ann, et al.
Construction and Building Materials (2020) Vol. 260, pp. 120457-120457
Open Access | Times Cited: 84
Alkali–silica reaction expansion prediction in concrete using hybrid metaheuristic optimized machine learning algorithms
Suraj Kumar Parhi, Saubhagya Kumar Panigrahi
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 1091-1113
Closed Access | Times Cited: 30
Machine-Learning-Aided Prediction of Flexural Strength and ASR Expansion for Waste Glass Cementitious Composite
Junbo Sun, Yufei Wang, Xupei Yao, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6686-6686
Open Access | Times Cited: 54
Multi-objective optimisation of a graphite-slag conductive composite applying a BAS-SVR based model
Junbo Sun, Xiangyu Wang, Junfei Zhang, et al.
Journal of Building Engineering (2021) Vol. 44, pp. 103223-103223
Closed Access | Times Cited: 51
Multi-objective optimisation design for GFRP tendon reinforced cemented soil
Genbao Zhang, Changfu Chen, Kefei Li, et al.
Construction and Building Materials (2022) Vol. 320, pp. 126297-126297
Closed Access | Times Cited: 34
Prediction of alkali-silica reaction expansion of concrete using artificial neural networks
Lifu Yang, Bing‐Lin Lai, Xu Ren, et al.
Cement and Concrete Composites (2023) Vol. 140, pp. 105073-105073
Closed Access | Times Cited: 20
Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling
Ali El Bilali, Mohammed Moukhliss, Abdeslam Taleb, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 31, pp. 47382-47398
Closed Access | Times Cited: 22
Combining discrete wavelet decomposition with soft computing techniques to predict monthly evapotranspiration in semi-arid Hakkâri province, Türkiye
Okan Mert Katipoğlu
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 15, pp. 44043-44066
Closed Access | Times Cited: 15
PSOBAN: a novel particle swarm optimization based protocol for wireless body area networks
Naveen Bilandi, Harsh Kumar Verma, Renu Dhir
SN Applied Sciences (2019) Vol. 1, Iss. 11
Open Access | Times Cited: 30
Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling
Salim Heddam, Mariusz Ptak, Mariusz Sojka, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 47, pp. 71555-71582
Closed Access | Times Cited: 16
Support vector machine for determining the compressive strength of brick-mortar masonry using NDT data fusion (case study: Kharagpur, India)
Mayank Mishra, Amanjeet Singh Bhatia, Damodar Maity
SN Applied Sciences (2019) Vol. 1, Iss. 6
Open Access | Times Cited: 27
Performance Prediction of Cement Stabilized Soil Incorporating Solid Waste and Propylene Fiber
Genbao Zhang, Zhiqing Ding, Yufei Wang, et al.
Materials (2022) Vol. 15, Iss. 12, pp. 4250-4250
Open Access | Times Cited: 13
Artificial Intelligence Models for Predicting Mechanical Properties of Recycled Aggregate Concrete (RAC): Critical Review
Amira Hamdy Ali Ahmed, Jin Wu, Mosaad Ali Hussein Ali
Journal of Advanced Concrete Technology (2022) Vol. 20, Iss. 6, pp. 404-429
Open Access | Times Cited: 13
Assessment of cement characteristics affecting rheological properties of cement pastes
Ali Mardani, Murat Kankal, Sinan Nacar, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 19, pp. 12805-12826
Closed Access | Times Cited: 15
Approaches to Numerical Solution of Optimal Control Problem Using Evolutionary Computations
Askhat Diveev, Elena Sofronova, S.V. Konstantinov
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 7096-7096
Open Access | Times Cited: 12
Shear properties analysis and strength prediction of steel wire-reinforced-carbon/glass hybrid composite bars
Tao Zhang, Danying Gao, Chengcheng Xue, et al.
Structures (2024) Vol. 64, pp. 106573-106573
Closed Access | Times Cited: 1
The Experimental Process Design of Artificial Lightweight Aggregates Using an Orthogonal Array Table and Analysis by Machine Learning
Young Min Wie, Ki Gang Lee, Kang Hyuck Lee, et al.
Materials (2020) Vol. 13, Iss. 23, pp. 5570-5570
Open Access | Times Cited: 12
Comparative seismic performance of building with Cu-Al-Be and Ni-Ti SMARB base isolation system using particle swarm optimization
Sanjay Baidya, Bijan Kumar Roy
Journal of Structural Integrity and Maintenance (2023) Vol. 8, Iss. 3, pp. 133-139
Closed Access | Times Cited: 4
A Method of Quantitative Detection of Fatigue Crack Depth in Bottom Rails by Ultrasonic Guided Waves Based on PCA-SVM
Yuzhu Liu, Ying Chen, Wei Zeng, et al.
Journal of Testing and Evaluation (2023) Vol. 51, Iss. 4, pp. 2322-2334
Closed Access | Times Cited: 3
Prediction of the Yield Strength of RC Columns Using a PSO-LSSVM Model
Bochen Wang, Weiming Gong, Yang Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10911-10911
Open Access | Times Cited: 5
Concrete slump prediction modeling with a fine-tuned convolutional neural network: hybridizing sea lion and dragonfly algorithms
Kumar Shaswat
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 29, pp. 43758-43769
Closed Access | Times Cited: 6
Studying the Efficiency of Parallelization in Optimal Control of Multistage Chemical Reactions
Maxim Sakharov, К. Ф. Коледина, Irek Gubaydullin, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3589-3589
Open Access | Times Cited: 4
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