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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:

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

Showing 1-25 of 171 citing articles:

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
A review on social spam detection: Challenges, open issues, and future directions
Sanjeev Rao, Anil Kumar Verma, Tarunpreet Bhatia
Expert Systems with Applications (2021) Vol. 186, pp. 115742-115742
Closed Access | Times Cited: 145
Privacy-preserving federated learning for residential short-term load forecasting
Joaquín Delgado Fernández, Sergio Potenciano Menci, Chul Min Lee, et al.
Applied Energy (2022) Vol. 326, pp. 119915-119915
Open Access | Times Cited: 73
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods
Tiago Alves de Oliveira, Michel Pires da Silva, Eduardo Habib Bechelane Maia, et al.
Drugs and Drug Candidates (2023) Vol. 2, Iss. 2, pp. 311-334
Open Access | Times Cited: 67
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
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: 122
Review of multi-fidelity models
M. Giselle Fernández-Godino
arXiv (Cornell University) (2016)
Open Access | Times Cited: 113
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
Miryam Elizabeth Villa-Pérez, Miguel Á. Álvarez‐Carmona, Octavio Loyola‐González, et al.
Knowledge-Based Systems (2021) Vol. 218, pp. 106878-106878
Closed Access | Times Cited: 104
Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model
Ahmed Alsayat
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 2499-2511
Open Access | Times Cited: 100
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
Exploring machine learning potential for climate change risk assessment
Federica Zennaro, Elisa Furlan, Christian Simeoni, et al.
Earth-Science Reviews (2021) Vol. 220, pp. 103752-103752
Closed Access | Times Cited: 82
Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon
Maryam Ghebleh Goydaragh, Ruhollah Taghizadeh–Mehrjardi, Ali Asghar Jafarzadeh, et al.
CATENA (2021) Vol. 202, pp. 105280-105280
Closed Access | Times Cited: 67
Machine learning models of the transition from solid to liquid lubricated friction and wear in aluminum-graphite composites
Md Syam Hasan, Amir Kordijazi, Pradeep K. Rohatgi, et al.
Tribology International (2021) Vol. 165, pp. 107326-107326
Closed Access | Times Cited: 62
Deep Learning Application Pros And Cons Over Algorithm
Ata Jahangir Moshayedi, Atanu Shuvam Roy, Amin Kolahdooz, et al.
EAI Endorsed Transactions on AI and Robotics (2022) Vol. 1, pp. 1-13
Open Access | Times Cited: 62
From Fully Physical to Virtual Sensing for Water Quality Assessment: A Comprehensive Review of the Relevant State-of-the-Art
Thulane Paepae, Pitshou N. Bokoro, Kyandoghere Kyamakya
Sensors (2021) Vol. 21, Iss. 21, pp. 6971-6971
Open Access | Times Cited: 59
Automated evolutionary approach for the design of composite machine learning pipelines
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, et al.
Future Generation Computer Systems (2021) Vol. 127, pp. 109-125
Open Access | Times Cited: 58
A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach
Arnab Mitra, Arnav Jain, Avinash Kishore, et al.
Operations Research Forum (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 49
Pneumonia Detection Proposing a Hybrid Deep Convolutional Neural Network Based on Two Parallel Visual Geometry Group Architectures and Machine Learning Classifiers
Mohammad Yaseliani, Ali Zeinal Hamadani, Abtin Ijadi Maghsoodi, et al.
IEEE Access (2022) Vol. 10, pp. 62110-62128
Open Access | Times Cited: 48
Systematic Review of Using Machine Learning in Imputing Missing Values
Mustafa Alabadla, Fatimah Sidi, Iskandar Ishak, et al.
IEEE Access (2022) Vol. 10, pp. 44483-44502
Open Access | Times Cited: 47
Review of multi-fidelity models
M. Giselle Fernández-Godino
Advances in Computational Science and Engineering (2023) Vol. 1, Iss. 4, pp. 351-400
Open Access | Times Cited: 43
Evaluation of Machine Learning Methods Application in Temperature Prediction
Babak Azari, Khairul Hassan, Joel Pierce, et al.
Computational Research Progress in Applied Science and Engineering (2022) Vol. 8, Iss. 1, pp. 1-12
Open Access | Times Cited: 40
Is a single model enough? The systematic comparison of computational approaches for detecting populist radical right content
Mykola Makhortykh, Ernesto de León, Clara Christner, et al.
Quality & Quantity (2025)
Open Access | Times Cited: 1
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
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