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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:

Deep Learning Human Mind for Automated Visual Classification
Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, et al.
(2017), pp. 4503-4511
Open Access | Times Cited: 222

Showing 1-25 of 222 citing articles:

Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 051001-051001
Open Access | Times Cited: 1027
Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 899
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 5, pp. 1645-1666
Open Access | Times Cited: 273
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 031002-031002
Open Access | Times Cited: 228
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
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
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression
Geetanjali Sharma, Abhishek Parashar, Amit M. Joshi
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102393-102393
Closed Access | Times Cited: 141
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions
Anil Rahate, Rahee Walambe, Sheela Ramanna, et al.
Information Fusion (2021) Vol. 81, pp. 203-239
Open Access | Times Cited: 130
Explainable Artificial Intelligence Applications in NLP, Biomedical, and Malware Classification: A Literature Review
Sherin Mary Mathews
Advances in intelligent systems and computing (2019), pp. 1269-1292
Closed Access | Times Cited: 129
Generative Adversarial Networks Conditioned by Brain Signals
Simone Palazzo, Concetto Spampinato, Isaak Kavasidis, et al.
(2017), pp. 3430-3438
Closed Access | Times Cited: 119
Learning CNN features from DE features for EEG-based emotion recognition
Sunhee Hwang, Kibeom Hong, Guiyoung Son, et al.
Pattern Analysis and Applications (2019) Vol. 23, Iss. 3, pp. 1323-1335
Closed Access | Times Cited: 119
Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information
Alvaro Fuentes, Sook Yoon, Jongbin Park, et al.
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105627-105627
Closed Access | Times Cited: 100
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
Simone Palazzo, Concetto Spampinato, Isaak Kavasidis, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 11, pp. 3833-3849
Open Access | Times Cited: 98
Deep learning-based classification for brain-computer interfaces
John Thomas, Tomasz Maszczyk, Nishant Sinha, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017), pp. 234-239
Closed Access | Times Cited: 92
Brain2Image
Isaak Kavasidis, Simone Palazzo, Concetto Spampinato, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2017), pp. 1809-1817
Closed Access | Times Cited: 89
Using human brain activity to guide machine learning
Ruth Fong, Walter J. Scheirer, David Cox
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 89
Ensemble deep learning for automated visual classification using EEG signals
Xiao Zheng, Wanzhong Chen, Yang You, et al.
Pattern Recognition (2019) Vol. 102, pp. 107147-107147
Closed Access | Times Cited: 86
An Attention-based Bi-LSTM Method for Visual Object Classification via EEG
Xiao Zheng, Wanzhong Chen
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102174-102174
Closed Access | Times Cited: 85
The Perils and Pitfalls of Block Design for EEG Classification Experiments
Ren Li, Jared Sigurd Johansen, Hamad Ahmed, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020), pp. 1-1
Open Access | Times Cited: 85
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang, Xiaorong Li, Jian Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 184-193
Open Access | Times Cited: 75
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 73
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
Kai Zhang, Kun Zhang, Mengdi Zhang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022)
Open Access | Times Cited: 49
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du, Kaicheng Fu, Jinpeng Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10760-10777
Open Access | Times Cited: 35
Brain-Machine Coupled Learning Method for Facial Emotion Recognition
Dongjun Liu, Weichen Dai, Hangkui Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10703-10717
Closed Access | Times Cited: 23
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents
Jinwoo Kim, Woojae Kim, Heeseok Oh, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 10579-10588
Closed Access | Times Cited: 69
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