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:
A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model
Mohammad Soleimani Lashkenari, Mohammad Bagheri, Afshin Tatar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10663-10676
Closed Access | Times Cited: 7
Mohammad Soleimani Lashkenari, Mohammad Bagheri, Afshin Tatar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10663-10676
Closed Access | Times Cited: 7
Showing 7 citing articles:
Novel analytical solutions of stochastic Ginzburg-Landau equation driven by Wiener process via the improved modified extended tanh function method
Yazid Alhojilan, Hamdy M. Ahmed
Alexandria Engineering Journal (2023) Vol. 72, pp. 269-274
Open Access | Times Cited: 43
Yazid Alhojilan, Hamdy M. Ahmed
Alexandria Engineering Journal (2023) Vol. 72, pp. 269-274
Open Access | Times Cited: 43
General solitons for eighth-order dispersive nonlinear Schrödinger equation with ninth-power law nonlinearity using improved modified extended tanh method
Islam Samir, Assmaa Abd‐Elmonem, Hamdy M. Ahmed
Optical and Quantum Electronics (2023) Vol. 55, Iss. 5
Closed Access | Times Cited: 25
Islam Samir, Assmaa Abd‐Elmonem, Hamdy M. Ahmed
Optical and Quantum Electronics (2023) Vol. 55, Iss. 5
Closed Access | Times Cited: 25
Novel robust Elman neural network-based predictive models for bubble point oil formation volume factor and solution gas–oil ratio using experimental data
Kamyab Kohzadvand, Maryam Mahmoudi Kouhi, Mehdi Ghasemi, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14503-14526
Closed Access | Times Cited: 4
Kamyab Kohzadvand, Maryam Mahmoudi Kouhi, Mehdi Ghasemi, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14503-14526
Closed Access | Times Cited: 4
Harmonizing Heritage and Artificial Neural Networks: The Role of Sustainable Tourism in UNESCO World Heritage Sites
Alper BOZKURT, Ferhat Şeker
Sustainability (2023) Vol. 15, Iss. 17, pp. 13031-13031
Open Access | Times Cited: 3
Alper BOZKURT, Ferhat Şeker
Sustainability (2023) Vol. 15, Iss. 17, pp. 13031-13031
Open Access | Times Cited: 3
Understanding evolving user choices: a neural network analysis of TAXI and ride-hailing services in Barcelona
Miguel Guillén-Pujadas, Emili Vizuete–Luciano, David Alaminos, et al.
Soft Computing (2023) Vol. 28, Iss. 5, pp. 4649-4665
Open Access | Times Cited: 1
Miguel Guillén-Pujadas, Emili Vizuete–Luciano, David Alaminos, et al.
Soft Computing (2023) Vol. 28, Iss. 5, pp. 4649-4665
Open Access | Times Cited: 1
Research on the Prediction Method of Clock Tester Calibration Data Based on Radial Basis Function Neural Network
Mei-xia Yu, Xiaoping Zheng, Chuanhui Zhao
Electronics (2023) Vol. 12, Iss. 22, pp. 4677-4677
Open Access | Times Cited: 1
Mei-xia Yu, Xiaoping Zheng, Chuanhui Zhao
Electronics (2023) Vol. 12, Iss. 22, pp. 4677-4677
Open Access | Times Cited: 1
Research and Applications of RBF Big Data Processing Technology Based on Artificial Intelligence Algorithms
Xueying Duan, Meng Wang
(2023), pp. 1-5
Closed Access
Xueying Duan, Meng Wang
(2023), pp. 1-5
Closed Access
