Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 on transfer learning in EEG signal analysis
Zitong Wan, Rui Yang, Mengjie Huang, et al.
Neurocomputing (2020) Vol. 421, pp. 1-14
Closed Access | Times Cited: 345

Showing 1-25 of 345 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 317
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14681-14722
Closed Access | Times Cited: 311
EEG Based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-57
Open Access | Times Cited: 227
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
Self-Supervised Learning for Electroencephalography
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 1457-1471
Closed Access | Times Cited: 157
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition
Xun Wu, Wei‐Long Zheng, Ziyi Li, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 1, pp. 016012-016012
Open Access | Times Cited: 139
Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 101
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
Ahmad Chaddad, Yihang Wu, Reem Kateb, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6434-6434
Open Access | Times Cited: 90
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Yassine Himeur, Somaya Al‐Maadeed, Hamza Kheddar, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105698-105698
Open Access | Times Cited: 72
Explaining deep neural networks: A survey on the global interpretation methods
Rabia Saleem, Bo Yuan, Fatih Kurugöllü, et al.
Neurocomputing (2022) Vol. 513, pp. 165-180
Open Access | Times Cited: 67
Deep transfer learning for automatic speech recognition: Towards better generalization
Hamza Kheddar, Yassine Himeur, Somaya Al‐Maadeed, et al.
Knowledge-Based Systems (2023) Vol. 277, pp. 110851-110851
Open Access | Times Cited: 61
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 22
Intelligent Wearable System With Motion and Emotion Recognition Based on Digital Twin Technology
Feng Yu, Chenyu Yu, Zhangyuan Tian, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 26314-26328
Closed Access | Times Cited: 19
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar, et al.
Information Fusion (2024) Vol. 113, pp. 102601-102601
Open Access | Times Cited: 15
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F. Mattioli, Camillo Porcaro, Gianluca Baldassarre
Journal of Neural Engineering (2021) Vol. 18, Iss. 6, pp. 066053-066053
Open Access | Times Cited: 99
Transfer learning-based strategies for fault diagnosis in building energy systems
Jiangyan Liu, Qing Zhang, Xin Li, et al.
Energy and Buildings (2021) Vol. 250, pp. 111256-111256
Closed Access | Times Cited: 95
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Majdi Mansouri, Mohamed Trabelsi, Hazem Nounou, et al.
IEEE Access (2021) Vol. 9, pp. 126286-126306
Open Access | Times Cited: 86
Deep Common Spatial Pattern based Motor Imagery Classification with Improved Objective Function
Nanxi Yu, Rui Yang, Mengjie Huang
International Journal of Network Dynamics and Intelligence (2022), pp. 73-84
Open Access | Times Cited: 61
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey
Xun Chen, Chang Li, Aiping Liu, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 117-134
Open Access | Times Cited: 58
An insight into diagnosis of depression using machine learning techniques: a systematic review
Sweta Bhadra, Chandan Jyoti Kumar
Current Medical Research and Opinion (2022) Vol. 38, Iss. 5, pp. 749-771
Closed Access | Times Cited: 46
Survey of Movement Reproduction in Immersive Virtual Rehabilitation
Liu Wang, Mengjie Huang, Rui Yang, et al.
IEEE Transactions on Visualization and Computer Graphics (2022) Vol. 29, Iss. 4, pp. 2184-2202
Open Access | Times Cited: 40
Single-Source to Single-Target Cross-Subject Motor Imagery Classification Based on Multisubdomain Adaptation Network
Yi Chen, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1992-2002
Open Access | Times Cited: 38
Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review
Mohamed Sami Nafea, Zool Hilmi Ismail
Bioengineering (2022) Vol. 9, Iss. 12, pp. 781-781
Open Access | Times Cited: 38
Explainable Artificial Intelligence and Wearable Sensor-Based Gait Analysis to Identify Patients with Osteopenia and Sarcopenia in Daily Life
Jeong-Kyun Kim, Myung‐Nam Bae, Kangbok Lee, et al.
Biosensors (2022) Vol. 12, Iss. 3, pp. 167-167
Open Access | Times Cited: 37
Generative adversarial networks in EEG analysis: an overview
Ahmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 37
Page 1 - Next Page

Scroll to top