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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:

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: 91

Showing 1-25 of 91 citing articles:

Artificial Neural Networks Based Optimization Techniques: A Review
Maher G. M. Abdolrasol, S. M. Suhail Hussain, Taha Selim Ustun, et al.
Electronics (2021) Vol. 10, Iss. 21, pp. 2689-2689
Open Access | Times Cited: 427
COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
Algorithms (2020) Vol. 13, Iss. 10, pp. 249-249
Open Access | Times Cited: 321
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
Mathematics (2020) Vol. 8, Iss. 6, pp. 890-890
Open Access | Times Cited: 230
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: 171
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
Mochen Liao, Yuan Yao
GCB Bioenergy (2021) Vol. 13, Iss. 5, pp. 774-802
Open Access | Times Cited: 112
A review on sustainable and scalable biodiesel production using ultra-sonication technology
Suvik Oza, Pravin Kodgire, Surendra Singh Kachhwaha, et al.
Renewable Energy (2024) Vol. 226, pp. 120399-120399
Closed Access | Times Cited: 33
A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes
Olugbenga Akande, Jude A. Okolie, Richard Kimera, et al.
Green Energy and Intelligent Transportation (2025), pp. 100260-100260
Open Access | Times Cited: 3
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: 132
A Review on Machine Learning Application in Biodiesel Production Studies
Yuanzhi Xing, Zile Zheng, Yike Sun, et al.
International Journal of Chemical Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 60
COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
(2020)
Open Access | Times Cited: 70
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: 66
COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 64
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
Jatropha’s Rapid Developments and Future Opportunities as a Renewable Source of Biofuel—A Review
Asarudheen Abdudeen, Mohamed Y.E. Selim, Manigandan Sekar, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 828-828
Open Access | Times Cited: 19
Aero-engine Blade Defect Detection: A Systematic Review of Deep Learning Models
Yusra Abdulrahman, M. A Mohammed Eltoum, Abdulla Ayyad, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 17
COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
(2020)
Open Access | Times Cited: 49
COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 48
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.
(2019)
Open Access | Times Cited: 48
COVID-19 Pandemic Prediction for Hungary: A Hybrid Machine Learning Approach
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
(2020)
Open Access | Times Cited: 48
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
Sanaz Mojrian, Gergő Pintér, Javad Hassannataj Joloudari, et al.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2020), pp. 1-7
Open Access | Times Cited: 47
Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods<strong> </strong>
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
(2019)
Open Access | Times Cited: 47
List of Deep Learning Models
Amir Mosavi, Sina Ardabili, Annamária R. Várkonyi-Kóczy
(2020)
Closed Access | Times Cited: 46
Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction
Saeed Nosratabadi, Károly Széll, Bertalan Beszédes, et al.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2020), pp. 1-5
Open Access | Times Cited: 45
COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
(2020)
Open Access | Times Cited: 41
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