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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:

Reliability study of generalized Rayleigh distribution based on inverse power law using artificial neural network with Bayesian regularization
Andaç Batur Çolak, Tabassum Naz Sindhu, Showkat Ahmad Lone, et al.
Tribology International (2023) Vol. 185, pp. 108544-108544
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Intelligent-inspired framework for fatigue reliability evaluation of offshore wind turbine support structures under hybrid uncertainty
Debiao Meng, Shiyuan Yang, Hengfei Yang, et al.
Ocean Engineering (2024) Vol. 307, pp. 118213-118213
Closed Access | Times Cited: 61
Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information
Yibo Wang, Abrar Hussain, Shi Yin, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 15
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Chemosphere (2023) Vol. 340, pp. 139886-139886
Closed Access | Times Cited: 40
Structural reliability analysis based on improved wolf pack algorithm AK-SS
Aiqing She, Linjun Wang, Yunlong Peng, et al.
Structures (2023) Vol. 57, pp. 105289-105289
Closed Access | Times Cited: 33
A decreasing failure rate model with a novel approach to enhance the artificial neural network's structure for engineering and disease data analysis
Tabassum Naz Sindhu, Andaç Batur Çolak, Showkat Ahmad Lone, et al.
Tribology International (2023) Vol. 192, pp. 109231-109231
Closed Access | Times Cited: 26
Introducing the new arcsine-generator distribution family: An in-depth exploration with an illustrative example of the inverse weibull distribution for analyzing healthcare industry data
Tabassum Naz Sindhu, Anum Shafiq, Muhammad Bilal Riaz, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100879-100879
Open Access | Times Cited: 13
Artificial neural network approach to simulate the impact of concentration in optimizing heat transfer rate on water-based hybrid nanofluid under slip conditions: A regression analysis
Subhajit Panda, Arun Prakash Baag, P. K. Pattnaik, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-23
Closed Access | Times Cited: 11
Magnetic dissipation on radiative free convection of a conducting hybrid nanofluid within a rotating cone and circular disc
Rupa Baithalu, S. R. Mishra, Subhajit Panda
Partial Differential Equations in Applied Mathematics (2024) Vol. 11, pp. 100788-100788
Open Access | Times Cited: 11
Dynamics of non-Newtonian Casson fluid and Cattaneo-Christov heat flux impacts on a rotating non-uniform surface due to Coriolis force: A comparison study of ANFIS-PSO and ANN
Maddina Dinesh Kumar, S. Suresh, G. Dharmaiah, et al.
Results in Engineering (2024) Vol. 23, pp. 102653-102653
Open Access | Times Cited: 11
Artificial neural network (ANN) analysis on thermophysical properties of magnetohydrodynamics flow with radiation in an arc-shaped enclosure with a rotating cylinder
Tanmoy Bairagi, Md. Jahid Hasan, M N Hudha, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28609-e28609
Open Access | Times Cited: 10
A comparative recognition research on excretory organism in medical applications using artificial neural networks
Shitharth Selvarajan, Hariprasath Manoharan, Celestine Iwendi, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 18
Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach
Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, et al.
Alexandria Engineering Journal (2024) Vol. 103, pp. 98-120
Open Access | Times Cited: 7
Optimization of heat transport in nanofluid with nanoparticle aggregation and Marangoni convection effects: artificial neural network approach
J. Pavithra, N. V. Raju, S. N. Sridhara, et al.
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access
Construction of a novel five-dimensional Hamiltonian conservative hyperchaotic system and its application in image encryption
Minxiu Yan, Shuyan Li
Soft Computing (2025)
Closed Access
Optimizing Corrective and Preventive Maintenance Strategies for Sustainable Cost Savings in Palm Oil Mills
Filscha Nurprihatin, Anak Agung Ngurah Perwira Redi, Michael Nayat Young, et al.
(2025)
Closed Access
Secure Computation Offloading Using Enhanced Genetic Algorithm for Ocean IoT
Ruizhong Du, Jianwei Zhao, Yan Gao
Journal of Grid Computing (2025) Vol. 23, Iss. 1
Closed Access
Applications to medical and failure time data: Using a new extension of the extended exponential model
Ibrahim E. Ragab, Mohamed Kayid, Oluwafemi Samson Balogun, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101373-101373
Closed Access
A modification of explicit time integrator scheme for unsteady power-law nanofluid flow over the moving sheets
Yasir Nawaz, Muhammad Shoaib Arif, Kamaleldin Abodayeh, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3
An updated software reliability model using the shanker model and failure data
Anum Shafiq, Tabassum Naz Sindhu, Showkat Ahmad Lone, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 4, pp. 2078-2095
Closed Access | Times Cited: 3
An Efficient Deep Learning Prognostic Model for Remaining Useful Life Estimation of High Speed CNC Milling Machine Cutters
Hamdy K. Elminir, Mohamed A. El-Brawany, Dina A. Ibrahim, et al.
Results in Engineering (2024) Vol. 24, pp. 103420-103420
Open Access | Times Cited: 3
A new approach of generalized Rayleigh distribution with analysis of asymmetric data sets
Ibrahim Alkhairy
Alexandria Engineering Journal (2024) Vol. 100, pp. 1-14
Open Access | Times Cited: 1
Bayesian regression modeling and inference of energy efficiency data: the effect of collinearity and sensitivity analysis
Laila A. Al‐Essa, Endris Assen Ebrahim, Yusuf Ali Mergiaw
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Estimation of Entropy for Generalized Rayleigh Distribution under Progressively Type-II Censored Samples
Haiping Ren, Qin Gong, Xue Hu
Axioms (2023) Vol. 12, Iss. 8, pp. 776-776
Open Access | Times Cited: 3
Deep learning‐based method for solving seepage equation under unsteady boundary
Daolun Li, Luhang Shen, Wenshu Zha, et al.
International Journal for Numerical Methods in Fluids (2023) Vol. 96, Iss. 1, pp. 87-101
Closed Access | Times Cited: 3
Do Obsolescence and Shortages have an impact on Reliability, Maintainability and Availability?
Sahar Karaani, Mariem Besbes, Marc Zolghadri, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 8, pp. 294-299
Open Access
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