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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:

Comparing of deep neural networks and extreme learning machines based on growing and pruning approach
Kemal Akyol
Expert Systems with Applications (2019) Vol. 140, pp. 112875-112875
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Sheraz Aslam, Herodotos Herodotou, Syed Muhammad Mohsin, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 110992-110992
Closed Access | Times Cited: 397
Correlation-based pruning algorithm with weight compensation for feedforward neural networks
Shaimaa E.K. Ebid, Samah El-Tantawy, Doaa M. Shawky, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
American sign language recognition and training method with recurrent neural network
C.K.M. Lee, Kam K.H. Ng, Chun‐Hsien Chen, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114403-114403
Open Access | Times Cited: 119
Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
C. Anand
Journal of Ubiquitous Computing and Communication Technologies (2021) Vol. 3, Iss. 2, pp. 122-134
Open Access | Times Cited: 76
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Expert Systems with Applications (2022) Vol. 213, pp. 119064-119064
Closed Access | Times Cited: 62
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients
Francesco Calabrò, Gianluca Fabiani, Constantinos Siettos
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 387, pp. 114188-114188
Open Access | Times Cited: 54
Multiscale modeling in smart cities: A survey on applications, current trends, and challenges
Asif Khan, Sheraz Aslam, Khursheed Aurangzeb, et al.
Sustainable Cities and Society (2021) Vol. 78, pp. 103517-103517
Open Access | Times Cited: 52
Deep Neural Network for Predicting Diabetic Retinopathy from Risk Factors
Ganjar Alfian, Muhammad Syafrudin, Norma Latif Fitriyani, et al.
Mathematics (2020) Vol. 8, Iss. 9, pp. 1620-1620
Open Access | Times Cited: 44
Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
M. Tanveer, Ashraf Haroon Rashid, Rahul Kumar, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102909-102909
Closed Access | Times Cited: 25
STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network
Youxi Wu, Shuhui Cheng, Yan Li, et al.
Information Sciences (2023) Vol. 632, pp. 299-323
Closed Access | Times Cited: 15
A comprehensive review of extreme learning machine on medical imaging
Yoleidy Huérfano, Marco Mora, Karina Vilches-Ponce, et al.
Neurocomputing (2023) Vol. 556, pp. 126618-126618
Closed Access | Times Cited: 14
A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi‐Kernel Extreme Learning Machine
Shan Guan, Long-kun Cong, Fuwang Wang, et al.
Journal of Neuroscience Methods (2024) Vol. 407, pp. 110136-110136
Closed Access | Times Cited: 4
Sports performance prediction for college students through ensemble learning algorithm
Rong Huang, Qian Zewen, Hao Ma, et al.
IEICE Transactions on Information and Systems (2025)
Open Access
A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Jie Du, S. C. Chen, Linlin Pan, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1136-1136
Open Access
Artificial Intelligence for Sustainable Agriculture: A Comprehensive Review of AI-Driven Technologies in Crop Production
Zulfiqar Ali, Asif Muhammad, N. Lee, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2281-2281
Open Access
Machine Learning Approaches for Detection and Diagnosis of Parkinson’s Disease - A Review
Iqra Nissar, Waseem Ahmad Mir, Izharuddin, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2021), pp. 898-905
Closed Access | Times Cited: 28
An ensemble deep learning model for exhaust emissions prediction of heavy oil-fired boiler combustion
Zhezhe Han, Jian Li, Md. Moinul Hossain, et al.
Fuel (2021) Vol. 308, pp. 121975-121975
Open Access | Times Cited: 28
Synchronization in fixed/preassigned-time of delayed fully quaternion-valued memristive neural networks via non-separation method
Jingsha Zhang, Xiaolin Ma, Yongke Li, et al.
Communications in Nonlinear Science and Numerical Simulation (2022) Vol. 113, pp. 106581-106581
Closed Access | Times Cited: 21
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review
Jasjit S. Suri, Mahesh Maindarkar, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1543-1543
Open Access | Times Cited: 13
Survival Prediction of Esophageal Squamous Cell Carcinoma Based on the Prognostic Index and Sparrow Search Algorithm-Support Vector Machine
Yanfeng Wang, Wenhao Zhang, Yuli Yang, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 7, pp. 598-609
Closed Access | Times Cited: 7
Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind
Lopamudra Mohanty, Ashish Kumar, Vivek Mehta, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Fault Diagnosis Method for Rolling Mill Multi Row Bearings Based on AMVMD-MC1DCNN under Unbalanced Dataset
Chen Zhao, Jianliang Sun, Shuilin Lin, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5494-5494
Open Access | Times Cited: 17
Extreme Learning Machine Using Improved Gradient-Based Optimizer for Dam Seepage Prediction
Lei Li, Yongquan Zhou, Huajuan Huang, et al.
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 8, pp. 9693-9712
Closed Access | Times Cited: 10
A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting
Muhammad Syafrudin, Ganjar Alfian, Norma Latif Fitriyani, et al.
Mathematics (2020) Vol. 8, Iss. 9, pp. 1590-1590
Open Access | Times Cited: 14
Predicting Students' Academic Performance in Educational Data Mining Based on Deep Learning Using TensorFlow
Mussa Saidi Abubakari, Fatchul Arifin, Gilbert Gutabaga Hungilo
International Journal of Education and Management Engineering (2020) Vol. 10, Iss. 6, pp. 27-33
Open Access | Times Cited: 14
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