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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 multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning
Amir Mosavi, Shahaboddin Shamshirband, Ely Salwana, et al.
Engineering Applications of Computational Fluid Mechanics (2019) Vol. 13, Iss. 1, pp. 482-492
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
Adil Rasheed, Omer San, Trond Kvamsdal
IEEE Access (2020) Vol. 8, pp. 21980-22012
Open Access | Times Cited: 1195
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Husein Perez, J.H.M. Tah, Amir Mosavi
Sensors (2019) Vol. 19, Iss. 16, pp. 3556-3556
Open Access | Times Cited: 190
Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 215-227
Closed Access | Times Cited: 169
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
Sina Ardabili, Amir Mosavi, Majid Dehghani, et al.
Lecture notes in networks and systems (2020), pp. 52-62
Closed Access | Times Cited: 131
Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1799-1799
Open Access | Times Cited: 118
Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 19-32
Closed Access | Times Cited: 88
A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning
Agnese Marcato, Gianluca Boccardo, Daniele Marchisio
Chemical Engineering Journal (2021) Vol. 417, pp. 128936-128936
Open Access | Times Cited: 67
Digital Twin: Values, Challenges and Enablers
Adil Rasheed, Omer San, Trond Kvamsdal
arXiv (Cornell University) (2019)
Open Access | Times Cited: 73
List of Deep Learning Models
Amir Mosavi, Sina Ardabili, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 202-214
Closed Access | Times Cited: 64
Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases
Shahaboddin Shamshirband, Masoud Hadipoor, Alireza Baghban, et al.
Mathematics (2019) Vol. 7, Iss. 10, pp. 965-965
Open Access | Times Cited: 63
Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology
Tarahom Mesri Gundoshmian, Sina Ardabili, Amir Mosavi, et al.
Lecture notes in networks and systems (2020), pp. 345-360
Closed Access | Times Cited: 54
The effect of moving train on the aerodynamic performances of train-bridge system with a crosswind
Zhiyong Yao, Nan Zhang, Xinzhong Chen, et al.
Engineering Applications of Computational Fluid Mechanics (2020) Vol. 14, Iss. 1, pp. 222-235
Open Access | Times Cited: 54
Tunnel ventilation during construction and diffusion of hazardous gases studied by numerical simulations
Xiaoke Chang, Junrui Chai, Jipeng Luo, et al.
Building and Environment (2020) Vol. 177, pp. 106902-106902
Closed Access | Times Cited: 53
Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms
Ayman Yafouz, Ali Najah Ahmed, Nur’atiah Zaini, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 902-933
Open Access | Times Cited: 53
Influence of inlet pressure on cavitation characteristics in regulating valve
Xiumei Liu, Zihong Wu, Beibei Li, et al.
Engineering Applications of Computational Fluid Mechanics (2020) Vol. 14, Iss. 1, pp. 299-310
Open Access | Times Cited: 52
Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework
Mochen Liao, Kai Lan, Yuan Yao
Journal of Industrial Ecology (2021) Vol. 26, Iss. 1, pp. 164-182
Open Access | Times Cited: 45
Machine learning-based CFD simulations: a review, models, open threats, and future tactics
Dhruvil Panchigar, Kunal Kar, Shashank Shukla, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 21677-21700
Closed Access | Times Cited: 34
Assessment of RANS turbulence models and Zwart cavitation model empirical coefficients for the simulation of unsteady cloud cavitation
Linlin Geng, Xavier Escaler
Engineering Applications of Computational Fluid Mechanics (2019) Vol. 14, Iss. 1, pp. 151-167
Open Access | Times Cited: 49
A novel deep U-Net-LSTM framework for time-sequenced hydrodynamics prediction of the SUBOFF AFF-8
Yuqing Hou, Hui Li, Hong Chen, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 630-645
Open Access | Times Cited: 26
Machine learning enhanced exploration of bubble dynamics beneath a horizontal wall
X.Y. Zhang, Jiasheng Huang, K.M. Liew
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 425, pp. 116936-116936
Closed Access | Times Cited: 4
State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability
Saeed Nosratabadi, Amir Mosavi, Ramin Keivani, et al.
Lecture notes in networks and systems (2020), pp. 228-238
Open Access | Times Cited: 37
Application of an unstructured overset method for predicting the gear windage power losses
Yu Dai, Liufeng Xu, Xiang Zhu, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 130-141
Open Access | Times Cited: 27
Computational fluid dynamics analysis and extended adaptive hybrid functions model-based design optimization of an explosion-proof safety valve
Chaoyong Zong, Qingye Li, Kunpeng Li, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 296-315
Open Access | Times Cited: 19
An Overview of Low-Temperature Fischer–Tropsch Synthesis: Market Conditions, Raw Materials, Reactors, Scale-Up, Process Intensification, Mechanisms, and Outlook
Jesús Apolinar-Hernández, Sávio Leandro Bertoli, Humberto Gracher Riella, et al.
Energy & Fuels (2023) Vol. 38, Iss. 1, pp. 1-28
Closed Access | Times Cited: 11
Developing ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases
Shahab Shamshirband, Masoud Hadipoor, Alireza Baghban, et al.
(2019)
Open Access | Times Cited: 33
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