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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:

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems
Abdulilah Mohammad Mayet, Seyed Mehdi Alizadeh, Karina Shamilyevna Nurgalieva, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 1986-1986
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Intelligent Measurement of Void Fractions in Homogeneous Regime of Two Phase Flows Independent of the Liquid Phase Density Changes
Abdullah M. Iliyasu, Farhad Fouladinia, Ahmed S. Salama, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 2, pp. 179-179
Open Access | Times Cited: 18
Повышение эффективности систем улавливания паров нефти при товарно-транспортных операциях на нефтеналивных терминалах
V. V. Pshenin, Gulnur Zakirova
Journal of Mining Institute (2023) Vol. Online first
Open Access | Times Cited: 18
The Development of the Toxic and Flammable Gases Concentration Monitoring System for Coalmines
Alexander V. Martirosyan, Yury V. Ilyushin
Energies (2022) Vol. 15, Iss. 23, pp. 8917-8917
Open Access | Times Cited: 27
Using ANN and Combined Capacitive Sensors to Predict the Void Fraction for a Two-Phase Homogeneous Fluid Independent of the Liquid Phase Type
Tzu-Chia Chen, Seyed Mehdi Alizadeh, Abdullah K. Alanazi, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 940-940
Open Access | Times Cited: 14
A Methodology for Analysis and Prediction of Volume Fraction of Two-Phase Flow Using Particle Swarm Optimization and Group Method of Data Handling Neural Network
Abdullah M. Iliyasu, Dakhkilgova Kamila Bagaudinovna, Ahmed S. Salama, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 916-916
Open Access | Times Cited: 12
Using Particle Swarm Optimization and Artificial Intelligence to Select the Appropriate Characteristics to Determine Volume Fraction in Two-Phase Flows
Abdullah M. Iliyasu, Abdallah Benselama, Dakhkilgova Kamila Bagaudinovna, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 4, pp. 283-283
Open Access | Times Cited: 11
Proposing a High-Precision Petroleum Pipeline Monitoring System for Identifying the Type and Amount of Oil Products Using Extraction of Frequency Characteristics and a MLP Neural Network
Abdulilah Mohammad Mayet, Karina Shamilyevna Nurgalieva, Ali Awadh Al-Qahtani, et al.
Mathematics (2022) Vol. 10, Iss. 16, pp. 2916-2916
Open Access | Times Cited: 14
Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines
Abdullah M. Iliyasu, Abdulilah Mohammad Mayet, Robert Hanus, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4500-4500
Open Access | Times Cited: 13
Introducing the Effective Features Using the Particle Swarm Optimization Algorithm to Increase Accuracy in Determining the Volume Percentages of Three-Phase Flows
Tzu-Chia Chen, Seyed Mehdi Alizadeh, Marwan Ali Albahar, et al.
Processes (2023) Vol. 11, Iss. 1, pp. 236-236
Open Access | Times Cited: 7
Improved Artificial Neural Network with High Precision for Predicting Burnout among Managers and Employees of Start-Ups during COVID-19 Pandemic
Sutrisno Sutrisno, Nurul Khairina, Rahmad Syah, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1109-1109
Open Access | Times Cited: 7
Developing a Model Based on the Radial Basis Function to Predict the Compressive Strength of Concrete Containing Fly Ash
Abdulilah Mohammad Mayet, Ali Awadh Al-Qahtani, Ramy Mohammed Aiesh Qaisi, et al.
Buildings (2022) Vol. 12, Iss. 10, pp. 1743-1743
Open Access | Times Cited: 10
Proposing Intelligent Approach to Predicting Air Kerma within Radiation Beams of Medical X-ray Imaging Systems
Yanjie Lu, Nan Zheng, Mingtao Ye, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 190-190
Open Access | Times Cited: 5
Application of Wavelet Characteristics and GMDH Neural Networks for Precise Estimation of Oil Product Types and Volume Fractions
Abdulilah Mohammad Mayet, Seyed Mehdi Alizadeh, Karwan Mohammad Hamakarim, et al.
Symmetry (2022) Vol. 14, Iss. 9, pp. 1797-1797
Open Access | Times Cited: 8
Accurate Flow Regime Classification and Void Fraction Measurement in Two-Phase Flowmeters Using Frequency-Domain Feature Extraction and Neural Networks
Siavash Hosseini, Abdullah M. Iliyasu, Thangarajah Akilan, et al.
Separations (2022) Vol. 9, Iss. 7, pp. 160-160
Open Access | Times Cited: 7
Increasing the Efficiency of a Control System for Detecting the Type and Amount of Oil Product Passing through Pipelines Based on Gamma-Ray Attenuation, Time Domain Feature Extraction, and Artificial Neural Networks
Abdulilah Mohammad Mayet, Seyed Mehdi Alizadeh, Zana Azeez Kakarash, et al.
Polymers (2022) Vol. 14, Iss. 14, pp. 2852-2852
Open Access | Times Cited: 7
Optimizing the Gamma Ray-Based Detection System to Measure the Scale Thickness in Three-Phase Flow through Oil and Petrochemical Pipelines in View of Stratified Regime
Abdulilah Mohammad Mayet, Tzu-Chia Chen, Seyed Mehdi Alizadeh, et al.
Processes (2022) Vol. 10, Iss. 9, pp. 1866-1866
Open Access | Times Cited: 6
Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow
Abdulilah Mohammad Mayet, Tzu-Chia Chen, Ijaz Ahmad, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3544-3544
Open Access | Times Cited: 6
Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type
Mustafa Al‐Fayoumi, Hani Almimi, Aryan Veisi, et al.
IEEE Access (2023) Vol. 11, pp. 143745-143756
Open Access | Times Cited: 3
Identification of two-phase flow patterns in Z-shaped offshore pipelines based on deep learning technologies
Weiliang Qiao, Enze Huang, Hongtongyang Guo, et al.
Ocean Engineering (2023) Vol. 291, pp. 116422-116422
Open Access | Times Cited: 3
Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System
Abdulilah Mohammad Mayet, V. P. Thafasal Ijyas, Javed Khan Bhutto, et al.
Processes (2023) Vol. 11, Iss. 6, pp. 1621-1621
Open Access | Times Cited: 2
Modeling Results for the Real Horizontal Heavy-Oil-Production Well of Mechanical Solids
Aleksey V. Dengaev, Vladimir Shishulin, Elena Safiullina, et al.
Energies (2022) Vol. 15, Iss. 14, pp. 5182-5182
Open Access | Times Cited: 3
ACO-Based Feature Selection and Neural Network Modeling for Accurate Gamma-radiation Based Pipeline Monitoring in the Oil Industry
Abdulilah Mohammad Mayet, Seyed Mehdi Alizadeh, Muneer Parayangat, et al.
Applied Radiation and Isotopes (2024) Vol. 215, pp. 111587-111587
Closed Access
Selection of effective combination of time and frequency features using PSO-based technique for monitoring oil pipelines
Tzu-Chia Chen, Hani Almimi, Mohammad Sh. Daoud, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 518-530
Open Access | Times Cited: 1
Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters
Tzu-Chia Chen, Osman Taylan, Seyed Mehdi Alizadeh, et al.
MAPAN (2022) Vol. 38, Iss. 1, pp. 119-131
Closed Access | Times Cited: 2
Increasing the Accuracy and Optimizing the Structure of the Scale Thickness Detection System by Extracting the Optimal Characteristics Using Wavelet Transform
Abdulilah Mohammad Mayet, Tzu-Chia Chen, Seyed Mehdi Alizadeh, et al.
Separations (2022) Vol. 9, Iss. 10, pp. 288-288
Open Access | Times Cited: 1
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