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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:

Artificial intelligence approach on predicting current values of polymer interface Schottky diode based on temperature and voltage: An experimental study
Tamer Güzel, Andaç Batur Çolak
Superlattices and Microstructures (2021) Vol. 153, pp. 106864-106864
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Modeling of Soret and Dufour’s Convective Heat Transfer in Nanofluid Flow Through a Moving Needle with Artificial Neural Network
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 3, pp. 2807-2820
Closed Access | Times Cited: 77
OPTIMIZATION OF DARCY-FORCHHEIMER SQUEEZING FLOW IN NONLINEAR STRATIFIED FLUID UNDER CONVECTIVE CONDITIONS WITH ARTIFICIAL NEURAL NETWORK
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu, et al.
Heat Transfer Research (2021) Vol. 53, Iss. 3, pp. 67-89
Open Access | Times Cited: 57
Reliability modeling and analysis of mixture of exponential distributions using artificial neural network
Anum Shafiq, Andaç Batur Çolak, Showkat Ahmad Lone, et al.
Mathematical Methods in the Applied Sciences (2022) Vol. 47, Iss. 5, pp. 3308-3328
Closed Access | Times Cited: 48
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
Develop the artificial neural network approach to predict thermal transport analysis of nanofluid inside a porous enclosure
Saleem Nasir, Abdallah S. Berrouk, Taza Gul, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
Prediction of Mechanical Properties of Rubberized Concrete Incorporating Fly Ash and Nano Silica by Artificial Neural Network Technique
Musa Adamu, Andaç Batur Çolak, Yasser E. Ibrahim, et al.
Axioms (2023) Vol. 12, Iss. 1, pp. 81-81
Open Access | Times Cited: 24
Prediction of experimental thermal performance of new designed cold plate for electric vehicles’ Li-ion pouch-type battery with artificial neural network
Orhan Kalkan, Andaç Batur Çolak, Ali Çelen, et al.
Journal of Energy Storage (2022) Vol. 48, pp. 103981-103981
Closed Access | Times Cited: 35
ANALYZING ACTIVATION ENERGY AND BINARY CHEMICAL REACTION EFFECTS WITH ARTIFICIAL INTELLIGENCE APPROACH IN AXISYMMETRIC FLOW OF THIRD GRADE NANOFLUID SUBJECT TO SORET AND DUFOUR EFFECTS
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
Heat Transfer Research (2022) Vol. 54, Iss. 3, pp. 75-94
Closed Access | Times Cited: 33
Reliability study of generalized exponential distribution based on inverse power law using artificial neural network with Bayesian regularization
Tabassum Naz Sindhu, Andaç Batur Çolak, Showkat Ahmad Lone, et al.
Quality and Reliability Engineering International (2023) Vol. 39, Iss. 6, pp. 2398-2421
Closed Access | Times Cited: 19
Thermofluidic Transport of Williamson Flow in Stratified Medium with Radiative Energy and Heat Source Aspects by Machine Learning Paradigm
S. Bilal, Asadullah Asadullah, Muhammad Bilal Riaz
International Journal of Thermofluids (2024) Vol. 24, pp. 100818-100818
Open Access | Times Cited: 6
Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer
Ali Barkhordari, Hamid Reza Mashayekhi, Pari Amiri, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Computational Analysis on Magnetized and Non-Magnetized Boundary Layer Flow of Casson Fluid Past a Cylindrical Surface by Using Artificial Neural Networking
Khalil Ur Rehman, Wasfı Shatanawi, Andaç Batur Çolak
Mathematics (2023) Vol. 11, Iss. 2, pp. 326-326
Open Access | Times Cited: 13
Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods
Seyed Mehdi Alizadeh, Zahra Parhizi, Ali Hosin Alibak, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 51, pp. 21782-21793
Closed Access | Times Cited: 21
Investigation of the usability of machine learning algorithms in determining the specific electrical parameters of Schottky diodes
Tamer Güzel, Andaç Batur Çolak
Materials Today Communications (2022) Vol. 33, pp. 104175-104175
Closed Access | Times Cited: 20
A comparative analysis of maximum likelihood estimation and artificial neural network modeling to assess electrical component reliability
Andaç Batur Çolak, Tabassum Naz Sindhu, Showkat Ahmad Lone, et al.
Quality and Reliability Engineering International (2022) Vol. 40, Iss. 1, pp. 91-114
Closed Access | Times Cited: 20
Reliability Analysis Based on Mixture of Lindley Distributions with Artificial Neural Network
Anum Shafiq, Andaç Batur Çolak, Chetan Swarup, et al.
Advanced Theory and Simulations (2022) Vol. 5, Iss. 8
Closed Access | Times Cited: 19
Levenberg–Marquardt Training Technique Analysis of Thermally Radiative and Chemically Reactive Stagnation Point Flow of Non-Newtonian Fluid with Temperature Dependent Thermal Conductivity
Khalil Ur Rehman, Wasfı Shatanawi, Andaç Batur Çolak
Mathematics (2023) Vol. 11, Iss. 3, pp. 753-753
Open Access | Times Cited: 12
An artificial intelligence model estimation for functionalized graphene quantum dot-based diode characteristics
Ali Öter, Betül Ersöz, Zeynep Berktaş, et al.
Physica Scripta (2024) Vol. 99, Iss. 5, pp. 056001-056001
Closed Access | Times Cited: 4
Deep characterization of the electrical features of Ag/P3HT/SiNWs Schottky diodes by machine learning models based on experimental study
Radhouane Laajimi, K. Laajimi, Mehdi Rahmani
Surfaces and Interfaces (2024), pp. 105175-105175
Closed Access | Times Cited: 3
Artificial Neural Networking (ANN) Model for Convective Heat Transfer in Thermally Magnetized Multiple Flow Regimes with Temperature Stratification Effects
Khalil Ur Rehman, Andaç Batur Çolak, Wasfı Shatanawi
Mathematics (2022) Vol. 10, Iss. 14, pp. 2394-2394
Open Access | Times Cited: 14
Machine Learning-assisted Prediction of the Electronic Features of a Schottky Diode Interlaid with PVP:BaTiO3 Composite
Yashar Azizian‐Kalandaragh, Ali Barkhordari, Süleyman Özçelik, et al.
Physica Scripta (2024) Vol. 99, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 2
Advanced modelling techniques for magnetohydrodynamic Casson fluid squeezing flow via generalized fractional operators with neural network scheme
Saima Rashid, Madeeha Tahir, Muhammad Imran Asjad, et al.
Physica Scripta (2024) Vol. 99, Iss. 12, pp. 125262-125262
Closed Access | Times Cited: 2
Improve the energy efficiency of the fruit freeze-drying through the predictive analysis
Oznur Oztuna Taner, Andaç Batur Çolak
Food and Bioproducts Processing (2024)
Closed Access | Times Cited: 2
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
Yunis Torun, Hülya Doğan
Superlattices and Microstructures (2021) Vol. 160, pp. 107062-107062
Closed Access | Times Cited: 16
Neural network estimations of annealed and non-annealed Schottky diode characteristics at wide temperatures range
Hülya Doğan, S. Duman, Yunis Torun, et al.
Materials Science in Semiconductor Processing (2022) Vol. 149, pp. 106854-106854
Closed Access | Times Cited: 10
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