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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:

Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network
Ufuk Yolcu, Erol Eǧrioǧlu, Eren Baş, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2019) Vol. 33, Iss. 3, pp. 383-404
Closed Access | Times Cited: 18

Showing 18 citing articles:

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction
Yeqi Liu, Chuanyang Gong, Ling Yang, et al.
Expert Systems with Applications (2019) Vol. 143, pp. 113082-113082
Closed Access | Times Cited: 298
Review of automated time series forecasting pipelines
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 44
Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm
Elif Tuğçe Kabak, Özge Cağcağ Yolcu, Fulya Aydın Temel, et al.
Chemical Engineering Journal (2022) Vol. 437, pp. 135499-135499
Closed Access | Times Cited: 36
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning
Bingzhen Sun, Juncheng Bai, Xiaoli Chu, et al.
Applied Soft Computing (2022) Vol. 123, pp. 108933-108933
Closed Access | Times Cited: 32
Identifying the maturity of co-compost of olive mill waste and natural mineral materials: Modelling via ANN and multi-objective optimization
Nurdan Aycan Dümenci, Özge Cağcağ Yolcu, Fulya Aydın Temel, et al.
Bioresource Technology (2021) Vol. 338, pp. 125516-125516
Closed Access | Times Cited: 36
Solar Radiation Intensity Probabilistic Forecasting Based on K-Means Time Series Clustering and Gaussian Process Regression
Zhendong Zhang, Chao Wang, Xiaosheng Peng, et al.
IEEE Access (2021) Vol. 9, pp. 89079-89092
Open Access | Times Cited: 31
New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks
Özge Cağcağ Yolcu, Fulya Aydın Temel, Ayşe Kuleyin
Journal of Cleaner Production (2021) Vol. 311, pp. 127688-127688
Closed Access | Times Cited: 23
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting
Zahra Hajirahimi, Mehdi Khashei
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 11, pp. 11067-11078
Closed Access | Times Cited: 9
Bootstrapped Dendritic Neuron Model Artificial Neural Network for Forecasting
Elif Özkırımlı, Erol Eǧrioǧlu, Eren Baş
Granular Computing (2023) Vol. 8, Iss. 6, pp. 1689-1699
Closed Access | Times Cited: 9
Robust modelling development for optimisation of hydrogen production from biomass gasification process using bootstrap aggregated neural network
Hannah O. Kargbo, Jie Zhang, Anh N. Phan
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 29, pp. 10812-10828
Open Access | Times Cited: 15
A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting
Erol Eǧrioǧlu, Robert Fildes
Computational Economics (2020) Vol. 59, Iss. 4, pp. 1355-1383
Open Access | Times Cited: 21
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Van-Huy Pham, et al.
IEEE Access (2022) Vol. 10, pp. 11871-11885
Open Access | Times Cited: 12
Time-Series Forecasting via Fuzzy-Probabilistic Approach With Evolving Clustering-Based Granulation
Weina Wang, Wanquan Liu, Hui Chen
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5324-5336
Closed Access | Times Cited: 11
Modeling of Cu(II) adsorption on the activated Phragmites australis waste by fuzzy-based and neural network-based inference systems
Oğuzcan Elver, Fulya Aydın Temel, Özge Cağcağ Yolcu, et al.
Journal of Industrial and Engineering Chemistry (2023) Vol. 129, pp. 180-192
Closed Access | Times Cited: 4
Modelling and optimization of Fenton processes through neural network and genetic algorithm
Hüseyin Cüce, Fulya Aydın Temel, Özge Cağcağ Yolcu
Korean Journal of Chemical Engineering (2021) Vol. 38, Iss. 11, pp. 2265-2278
Closed Access | Times Cited: 10
Combination of ANNs and heuristic algorithms in modelling and optimizing of Fenton processes for industrial wastewater treatment
Hüseyin Cüce, Özge Cağcağ Yolcu, Fulya Aydın Temel
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 6, pp. 6065-6078
Open Access | Times Cited: 4
Sampling and Forecasting Independent Data Via Clustered Bootstrap LSTM Models
Sihle Kubheka
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access
Combination of Anns and Heuristic Algorithms in Modelling and Optimizing of Fenton Processes for Industrial Wastewater Treatment
Hüseyin Cüce, Özge Cağcağ Yolcu, Fulya Aydın Temel
Research Square (Research Square) (2021)
Open Access
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