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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:

A review of adaptive online learning for artificial neural networks
Beatriz Pérez‐Sánchez, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas
Artificial Intelligence Review (2016) Vol. 49, Iss. 2, pp. 281-299
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: A review
A.M. Ghaedi, Azam Vafaei
Advances in Colloid and Interface Science (2017) Vol. 245, pp. 20-39
Closed Access | Times Cited: 290
Emerging Artificial Synaptic Devices for Neuromorphic Computing
Qingzhou Wan, Mohammad Taghi Sharbati, John R. Erickson, et al.
Advanced Materials Technologies (2019) Vol. 4, Iss. 4
Closed Access | Times Cited: 230
Modelling carbon emission intensity: Application of artificial neural network
Alex O. Acheampong, Emmanuel B. Boateng
Journal of Cleaner Production (2019) Vol. 225, pp. 833-856
Closed Access | Times Cited: 215
Deep Learning in the Biomedical Applications: Recent and Future Status
Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1526-1526
Open Access | Times Cited: 161
Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing
Furqan Zahoor, Fawnizu Azmadi Hussin, Usman Isyaku Bature, et al.
Discover Nano (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 37
Neural network-based parametric system identification: a review
Aoxiang Dong, Andrew Starr, Yifan Zhao
International Journal of Systems Science (2023) Vol. 54, Iss. 13, pp. 2676-2688
Open Access | Times Cited: 27
Modifying the microstructure of algae-based active carbon and modelling supercapacitors using artificial neural networks
Jiashuai Wang, Zhe Li, Shaocun Yan, et al.
RSC Advances (2019) Vol. 9, Iss. 26, pp. 14797-14808
Open Access | Times Cited: 58
Drawing inspiration from biological dendrites to empower artificial neural networks
Spyridon Chavlis, Panayiota Poirazi
Current Opinion in Neurobiology (2021) Vol. 70, pp. 1-10
Open Access | Times Cited: 53
Adaptive selective catalytic reduction model development using typical operating data in coal-fired power plants
You Lv, Xuguang Lv, Fang Fang, et al.
Energy (2019) Vol. 192, pp. 116589-116589
Closed Access | Times Cited: 47
Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators
Ryad Zemouri, Mélanie Lévesque, N. Amyot, et al.
IEEE Access (2019) Vol. 8, pp. 5438-5454
Open Access | Times Cited: 46
A new growing pruning deep learning neural network algorithm (GP-DLNN)
Ryad Zemouri, Nabil Omri, Farhat Fnaiech, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 24, pp. 18143-18159
Closed Access | Times Cited: 43
Tiny Machine Learning for Concept Drift
Simone Disabato, Manuel Roveri
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8470-8481
Open Access | Times Cited: 24
Online multimedia traffic classification from the QoS perspective using deep learning
Zheng Wu, Yuning Dong, Xiaohui Qiu, et al.
Computer Networks (2022) Vol. 204, pp. 108716-108716
Closed Access | Times Cited: 22
Navigating future wastewater treatment plants with artificial intelligence: Applications, challenges, and innovations
Xingyu Chen, Zhongfang Lei, Jo‐Shu Chang, et al.
Journal of Cleaner Production (2025), pp. 145467-145467
Closed Access
Simple modifications of the nonlinear regression stream temperature model for daily data
A. Piotrowski, Jarosław J. Napiórkowski
Journal of Hydrology (2019) Vol. 572, pp. 308-328
Closed Access | Times Cited: 40
Semantics aware intelligent framework for content-based e-learning recommendation
Hadi Ezaldeen, Sukant Kishoro Bisoy, Rachita Misra, et al.
Natural Language Processing Journal (2023) Vol. 3, pp. 100008-100008
Open Access | Times Cited: 12
Edge intelligence secure frameworks: Current state and future challenges
Esther Villar-Rodríguez, María Arostegi, Ana I. Torre-Bastida, et al.
Computers & Security (2023) Vol. 130, pp. 103278-103278
Open Access | Times Cited: 12
Residual range estimation for battery electric vehicle based on radial basis function neural network
Jun Bi, Yongxing Wang, Sai Shao, et al.
Measurement (2018) Vol. 128, pp. 197-203
Closed Access | Times Cited: 37
Prediction of Parkinson’s disease based on artificial neural networks using speech datasets
Wei Liu, Jierong Liu, Tao Peng, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 10, pp. 13571-13584
Closed Access | Times Cited: 17
A machine learning method for prediction of remaining useful life of supercapacitors with multi-stage modification
Fei Guo, Haitao Lv, Xiongwei Wu, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109160-109160
Closed Access | Times Cited: 10
Online learning and continuous model upgrading with data streams through the Kafka-ML framework
Alejandro Carnero, Cristian Martín, Gwanggil Jeon, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 251-263
Open Access | Times Cited: 3
Prediction of Accident Risk Levels in Traffic Accidents Using Deep Learning and Radial Basis Function Neural Networks Applied to a Dataset with Information on Driving Events
Cristian Arciniegas-Ayala, Pablo Marcillo, Ángel Leonardo Valdivieso Caraguay, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6248-6248
Open Access | Times Cited: 3
Estimating China’s Trade with Its Partner Countries within the Belt and Road Initiative Using Neural Network Analysis
Koffi Dumor, Yao Li
Sustainability (2019) Vol. 11, Iss. 5, pp. 1449-1449
Open Access | Times Cited: 24
Wet cooling tower performance prediction in CSP plants: A comparison between artificial neural networks and Poppe’s model
Juan Miguel Serrano Rodríguez, Pedro Navarro, Javier Ruiz Ramírez, et al.
Energy (2024) Vol. 303, pp. 131844-131844
Open Access | Times Cited: 2
Intelligent trajectory tracking of an aircraft in the presence of internal and external disturbances
Seyyed Ali Emami, Afshin Banazadeh
International Journal of Robust and Nonlinear Control (2019) Vol. 29, Iss. 16, pp. 5820-5844
Closed Access | Times Cited: 20
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