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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:

Restricted Boltzmann machine to determine the input weights for extreme learning machines
André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
Expert Systems with Applications (2017) Vol. 96, pp. 77-85
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A review on extreme learning machine
Jian Wang, Siyuan Lu, Shuihua Wang‎, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 29, pp. 41611-41660
Open Access | Times Cited: 314
Recommendation system based on deep learning methods: a systematic review and new directions
Aminu Da’u, Naomie Salim
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 2709-2748
Closed Access | Times Cited: 278
Survey on Neural Network Architectures with Deep Learning
S. Smys, Joy Iong Zong Chen, Subarna Shakya
Journal of Soft Computing Paradigm (2020) Vol. 2, Iss. 3, pp. 186-194
Open Access | Times Cited: 125
Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine
Santhosh Madasthu, Chintham Venkaiah, D. M. Vinod Kumar
Sustainable Energy Grids and Networks (2019) Vol. 19, pp. 100242-100242
Closed Access | Times Cited: 92
A multi-label text classification method via dynamic semantic representation model and deep neural network
Tianshi Wang, Li Liu, Naiwen Liu, et al.
Applied Intelligence (2020) Vol. 50, Iss. 8, pp. 2339-2351
Closed Access | Times Cited: 61
Dual VAEGAN: A generative model for generalized zero-shot learning
Yuxuan Luo, Xizhao Wang, Farhad Pourpanah
Applied Soft Computing (2021) Vol. 107, pp. 107352-107352
Closed Access | Times Cited: 40
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models
Enrique Mármol Campos, Aurora González-Vidal, José L. Hernández-Ramos, et al.
International Journal of Information Security (2025) Vol. 24, Iss. 2
Open Access
Application of artificial intelligence based on synchrosqueezed wavelet transform and improved deep extreme learning machine in water quality prediction
Chenguang Song, Leihua Yao
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 25, pp. 38066-38082
Closed Access | Times Cited: 19
Intelligent wind turbine gearbox diagnosis using VMDEA and ELM
M. Firdaus Isham, Muhammad Salman Leong, Meng Hee Lim, et al.
Wind Energy (2019) Vol. 22, Iss. 6, pp. 813-833
Closed Access | Times Cited: 33
The equipment detection and localization of large-scale construction jobsite by far-field construction surveillance video based on improving YOLOv3 and grey wolf optimizer improving extreme learning machine
Tuocheng Zeng, Jiajun Wang, Bo Cui, et al.
Construction and Building Materials (2021) Vol. 291, pp. 123268-123268
Closed Access | Times Cited: 25
Enhancing Recommender System performance through the fusion of Fuzzy C-Means, Restricted Boltzmann Machine, and Extreme Learning Machine
Hamidreza Koohi, Ziad Kobti, Zahra Nazari, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63095-63119
Closed Access | Times Cited: 3
An RBMs-BN method to RUL prediction of traction converter of CRH2 trains
Chuanyu Zhang, Cunsong Wang, Ningyun Lu, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 85, pp. 46-56
Closed Access | Times Cited: 24
ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification
Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, et al.
Cognitive Systems Research (2020) Vol. 63, pp. 30-41
Open Access | Times Cited: 19
Functional extreme learning machine
Xianli Liu, Guo Zhou, Yongquan Zhou, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Unscented Kalman filter for learning of a solar dryer and a greenhouse
José de Jesús Rubio, Enrique García, Genaro Ochoa, et al.
Journal of Intelligent & Fuzzy Systems (2019) Vol. 37, Iss. 5, pp. 6731-6741
Closed Access | Times Cited: 15
Research on Understanding the Effect of Deep Learning on User Preferences
Garima Gupta, Rahul Katarya
Arabian Journal for Science and Engineering (2020) Vol. 46, Iss. 4, pp. 3247-3286
Closed Access | Times Cited: 14
An approach combining a new weight initialization method and constructive algorithm to configure a single Feedforward Neural Network for multi-class classification
Cristiano Hora Fontes, Marcelo Embiruçu
Engineering Applications of Artificial Intelligence (2021) Vol. 106, pp. 104495-104495
Closed Access | Times Cited: 12
Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques
Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 4
MLK-SVD, the new approach in deep dictionary learning
Azadeh Montazeri, Mahboubeh Shamsi, Rouhollah Dianat
The Visual Computer (2020) Vol. 37, Iss. 4, pp. 707-715
Closed Access | Times Cited: 11
Fault Classification System for Switchgear CBM from an Ultrasound Analysis Technique Using Extreme Learning Machine
Sanuri Ishak, Chong Tak Yaw, Siaw Paw Koh, et al.
Energies (2021) Vol. 14, Iss. 19, pp. 6279-6279
Open Access | Times Cited: 10
Gingivitis Identification via Grey-level Cooccurrence Matrix and Extreme Learning Machine
Wen Li, Yiyang Chen, Leiying Miao, et al.
Proceedings of the 8th International Conference on Education, Management, Information and Management Society (EMIM 2018) (2018)
Open Access | Times Cited: 11
PCA Based Kernel Initialization for Convolutional Neural Networks
Yifeng Wang, Yuxi Rong, Hongyue Pan, et al.
Communications in computer and information science (2020), pp. 71-82
Open Access | Times Cited: 8
A new approach for data stream classification: unsupervised feature representational online sequential extreme learning machine
Özge Aydoğdu, Murat Ekıncı
Multimedia Tools and Applications (2020) Vol. 79, Iss. 37-38, pp. 27205-27227
Closed Access | Times Cited: 7
Application of traditional cultural elements in modern interior design in the era of artificial intelligence
Jue Wang
Applied Mathematics and Nonlinear Sciences (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 2
Sensitivity of data matrix rank in non-iterative training
Zhiqi Huang, Xizhao Wang
Neurocomputing (2018) Vol. 313, pp. 386-391
Closed Access | Times Cited: 4
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