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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:

Prediction of Nanofluid Temperature Inside the Cavity by Integration of Grid Partition Clustering Categorization of a Learning Structure with the Fuzzy System
Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, et al.
ACS Omega (2020) Vol. 5, Iss. 7, pp. 3571-3578
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling
Hoang Chinh Nguyen, Fawzia Alamray, Mehnaz Kamal, et al.
Journal of Molecular Liquids (2022) Vol. 354, pp. 118888-118888
Closed Access | Times Cited: 41
Recent advancements in molecular separation of gases using microporous membrane systems: A comprehensive review on the applied liquid absorbents
Yan Cao, Afrasyab Khan, Ali Taghvaie Nakhjiri, et al.
Journal of Molecular Liquids (2021) Vol. 337, pp. 116439-116439
Closed Access | Times Cited: 45
Mathematical modeling and numerical simulation of CO2 capture using MDEA-based nanofluids in nanostructure membranes
Yan Cao, Seyed Mehdi Alizadeh, Mohammad Taghi Fouladvand, et al.
Process Safety and Environmental Protection (2021) Vol. 148, pp. 1377-1385
Closed Access | Times Cited: 44
Machine learning based simulation of an anti-cancer drug (busulfan) solubility in supercritical carbon dioxide: ANFIS model and experimental validation
Huimin Zhu, Liwei Zhu, Zihong Sun, et al.
Journal of Molecular Liquids (2021) Vol. 338, pp. 116731-116731
Closed Access | Times Cited: 43
Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials
Weidong LI, Mustafa K. Suhayb, Lakshmi Thangavelu, et al.
Journal of Molecular Liquids (2022) Vol. 350, pp. 118527-118527
Closed Access | Times Cited: 37
Development of multiple machine-learning computational techniques for optimization of heterogenous catalytic biodiesel production from waste vegetable oil
Walid Kamal Abdelbasset, Safaa M. Elkholi, Maria Jade Catalan Opulencia, et al.
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 6, pp. 103843-103843
Open Access | Times Cited: 32
Computational investigation on the effect of [Bmim][BF4] ionic liquid addition to MEA alkanolamine absorbent for enhancing CO2 mass transfer inside membranes
Mahboubeh Pishnamazi, Ali Taghvaie Nakhjiri, Arezoo Sodagar Taleghani, et al.
Journal of Molecular Liquids (2020) Vol. 314, pp. 113635-113635
Closed Access | Times Cited: 45
Changes in the Number of Membership Functions for Predicting the Gas Volume Fraction in Two-Phase Flow Using Grid Partition Clustering of the ANFIS Method
Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian
ACS Omega (2020) Vol. 5, Iss. 26, pp. 16284-16291
Open Access | Times Cited: 43
Developing Intelligent Algorithm as a Machine Learning Overview over the Big Data Generated by Euler–Euler Method To Simulate Bubble Column Reactor Hydrodynamics
Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, et al.
ACS Omega (2020) Vol. 5, Iss. 32, pp. 20558-20566
Open Access | Times Cited: 42
Mass transfer modeling absorption using nanofluids in porous polymeric membranes
Azam Marjani, Ali Taghvaie Nakhjiri, Arezoo Sodagar Taleghani, et al.
Journal of Molecular Liquids (2020) Vol. 318, pp. 114115-114115
Closed Access | Times Cited: 41
ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow
Mahboubeh Pishnamazi, Meisam Babanezhad, Ali Taghvaie Nakhjiri, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 40
Machine learning method for simulation of adsorption separation: Comparisons of model’s performance in predicting equilibrium concentrations
Guanwei Yin, Fouad Jameel Ibrahim Alazzawi, Sergei Nikolaevich Mironov, et al.
Arabian Journal of Chemistry (2021) Vol. 15, Iss. 3, pp. 103612-103612
Open Access | Times Cited: 40
Evaluation of potassium glycinate, potassium lysinate, potassium sarcosinate and potassium threonate solutions in CO2 capture using membranes
Azam Marjani, Ali Taghvaie Nakhjiri, Mahboubeh Pishnamazi, et al.
Arabian Journal of Chemistry (2021) Vol. 14, Iss. 3, pp. 102979-102979
Open Access | Times Cited: 38
Adsorption of thallium from wastewater using disparate nano-based materials: A systematic review
Sumihar Hutapea, Marischa Elveny, Mohammed A. Amin, et al.
Arabian Journal of Chemistry (2021) Vol. 14, Iss. 10, pp. 103382-103382
Open Access | Times Cited: 37
Multiple machine learning models for prediction of CO2 solubility in potassium and sodium based amino acid salt solutions
Guanwei Yin, Fouad Jameel Ibrahim Alazzawi, Dmitry Olegovich Bokov, et al.
Arabian Journal of Chemistry (2021) Vol. 15, Iss. 3, pp. 103608-103608
Open Access | Times Cited: 37
Computational Modeling of Transport in Porous Media Using an Adaptive Network-Based Fuzzy Inference System
Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, et al.
ACS Omega (2020) Vol. 5, Iss. 48, pp. 30826-30835
Open Access | Times Cited: 38
Thermal and Flow Visualization of a Square Heat Source in a Nanofluid Material with a Cubic-Interpolated Pseudo-particle
Quyen Nguyen, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, et al.
ACS Omega (2020) Vol. 5, Iss. 28, pp. 17658-17663
Open Access | Times Cited: 37
Modification of polyethersulfone membrane using MWCNT-NH2 nanoparticles and its application in the separation of azeotropic solutions by means of pervaporation
Azam Marjani, Ali Taghvaie Nakhjiri, Maryam Adimi, et al.
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0236529-e0236529
Open Access | Times Cited: 37
Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods
Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 34
Fluid Velocity Prediction Inside Bubble Column Reactor Using ANFIS Algorithm Based on CFD Input Data
Quyen Nguyen, Iman Behroyan, Mashallah Rezakazemi, et al.
Arabian Journal for Science and Engineering (2020) Vol. 45, Iss. 9, pp. 7487-7498
Closed Access | Times Cited: 33
Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS
Meisam Babanezhad, Iman Behroyan, Azam Marjani, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 12, pp. 6819-6833
Closed Access | Times Cited: 32
Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors
Rasool Pelalak, Ali Taghvaie Nakhjiri, Azam Marjani, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 26
Computational simulation using machine learning models in prediction of CO2 absorption in environmental applications
Hulin Jin, Vahid Andalib, Ghulam Yasin, et al.
Journal of Molecular Liquids (2022) Vol. 358, pp. 119159-119159
Closed Access | Times Cited: 18
Application of adaptive network-based fuzzy inference system (ANFIS) in the numerical investigation of Cu/water nanofluid convective flow
Azam Marjani, Meisam Babanezhad, Saeed Shirazian
Case Studies in Thermal Engineering (2020) Vol. 22, pp. 100793-100793
Open Access | Times Cited: 27
Artificial Intelligence simulation of water treatment using nanostructure composite ordered materials
Rahmad Syah, Farhad Piri, Marischa Elveny, et al.
Journal of Molecular Liquids (2021) Vol. 345, pp. 117046-117046
Closed Access | Times Cited: 21
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