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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:

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
Yu Zhang, Yu Wang, Guoxu Zhou, et al.
Expert Systems with Applications (2017) Vol. 96, pp. 302-310
Closed Access | Times Cited: 249

Showing 1-25 of 249 citing articles:

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
Yu Zhang, Chang S. Nam, Guoxu Zhou, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 9, pp. 3322-3332
Open Access | Times Cited: 300
RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease
Ruoxuan Cui, Manhua Liu
Computerized Medical Imaging and Graphics (2019) Vol. 73, pp. 1-10
Closed Access | Times Cited: 209
Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion
Yu Su, Ke Zhang, Jingyu Wang, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1733-1733
Open Access | Times Cited: 177
Sparse Group Representation Model for Motor Imagery EEG Classification
Yong Jiao, Yu Zhang, Xun Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 2, pp. 631-641
Closed Access | Times Cited: 176
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor
Muhammad Sharif, Javeria Amin, Mudassar Raza, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 150-157
Closed Access | Times Cited: 172
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149
EEG classification using sparse Bayesian extreme learning machine for brain–computer interface
Zhichao Jin, Guoxu Zhou, Daqi Gao, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 11, pp. 6601-6609
Closed Access | Times Cited: 153
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network
Xianlun Tang, Wei Li, Xingchen Li, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113285-113285
Closed Access | Times Cited: 136
Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform
Sachin Taran, Varun Bajaj
Neural Computing and Applications (2018) Vol. 31, Iss. 11, pp. 6925-6932
Closed Access | Times Cited: 92
Small lung nodules detection based on local variance analysis and probabilistic neural network
Marcin Woźniak, Dawid Połap, Giacomo Capizzi, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 173-180
Closed Access | Times Cited: 90
Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning
Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 6, pp. 1178-1189
Open Access | Times Cited: 90
Integration of Accelerated Deep Neural Network Into Power Transformer Differential Protection
Shahabodin Afrasiabi, Mousa Afrasiabi, Benyamin Parang, et al.
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 2, pp. 865-876
Closed Access | Times Cited: 89
Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)
Senlin Zhu, Salim Heddam
Water Quality Research Journal (2019) Vol. 55, Iss. 1, pp. 106-118
Open Access | Times Cited: 82
Voting extreme learning machine based distributed denial of service attack detection in cloud computing
Gopal Singh Kushwah, Virender Ranga
Journal of Information Security and Applications (2020) Vol. 53, pp. 102532-102532
Closed Access | Times Cited: 81
Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features
Nagarajan Ganapathy, Yedukondala Rao Veeranki, Ramakrishnan Swaminathan
Expert Systems with Applications (2020) Vol. 159, pp. 113571-113571
Closed Access | Times Cited: 73
Environmental sound classification using temporal-frequency attention based convolutional neural network
Wenjie Mu, Bo Yin, Xianqing Huang, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 69
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
Recent Approaches on Classification and Feature Extraction of EEG Signal: A Review
Pooja Sharma, SK Pahuja, Karan Veer
Robotica (2021) Vol. 40, Iss. 1, pp. 77-101
Closed Access | Times Cited: 58
Motor Imagery EEG Decoding Based on Multi-Scale Hybrid Networks and Feature Enhancement
Xianlun Tang, Caiquan Yang, Xia Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1208-1218
Open Access | Times Cited: 31
Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Katerina Barnova, Martina Mikolasova, Radana Kahánková, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107135-107135
Open Access | Times Cited: 25
CTNet: a convolutional transformer network for EEG-based motor imagery classification
Wei Zhao, Xiaolu Jiang, Baocan Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
A new parameter tuning approach for enhanced motor imagery EEG signal classification
Shiu Kumar, Alok Sharma
Medical & Biological Engineering & Computing (2018) Vol. 56, Iss. 10, pp. 1861-1874
Closed Access | Times Cited: 64
Comparison of daily streamflow forecasts using extreme learning machines and the random forest method
Xue Li, Jian Sha, Zhong‐Liang Wang
Hydrological Sciences Journal (2019) Vol. 64, Iss. 15, pp. 1857-1866
Closed Access | Times Cited: 64
Unsupervised feature selection based extreme learning machine for clustering
Jichao Chen, Yijie Zeng, Yue Li, et al.
Neurocomputing (2019) Vol. 386, pp. 198-207
Closed Access | Times Cited: 62
Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal
Md. Khademul Islam Molla, Abdullah Al Shiam, Md. Rabiul Islam, et al.
IEEE Access (2020) Vol. 8, pp. 98255-98265
Open Access | Times Cited: 62
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