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:

Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism
Chang Li, Bin Wang, Silin Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105303-105303
Closed Access | Times Cited: 84

Showing 51-75 of 84 citing articles:

A GAN model encoded by CapsEEGNet for visual EEG encoding and image reproduction
Xin Deng, Zhongyin Wang, Ke Liu, et al.
Journal of Neuroscience Methods (2022) Vol. 384, pp. 109747-109747
Closed Access | Times Cited: 8

Learning multi-tasks with inconsistent labels by using auxiliary big task
Quan Feng, Songcan Chen
Frontiers of Computer Science (2023) Vol. 17, Iss. 5
Closed Access | Times Cited: 4

AGL-Net: An Efficient Neural Network for EEG-Based Driver Fatigue Detection
Weijie Fang, Liren Tang, Jiahui Pan
Journal of Integrative Neuroscience (2023) Vol. 22, Iss. 6
Open Access | Times Cited: 4

EEG-based Emotion Classification using Deep Learning: Approaches, Trends and Bibliometrics
Angad Tathgir, Chandra Mani Sharma, Vijayaraghavan M. Chariar
Qeios (2024)
Open Access | Times Cited: 1

Facial video-based non-contact emotion recognition: A multi-view features expression and fusion method
Tao Xue, Liwei Su, Zhi Rao, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106608-106608
Open Access | Times Cited: 1

Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition
Ensieh Khazaei, Hoda Mohammadzade
Scientia Iranica (2024)
Open Access | Times Cited: 1

Enhancing emotion prediction using deep learning and distributed federated systems with SMOTE oversampling technique
V. V. N. K. Prasad Raju, R. Saravanakumar, Nadia Yusuf, et al.
Alexandria Engineering Journal (2024) Vol. 108, pp. 498-508
Open Access | Times Cited: 1

Deep learning model for simultaneous recognition of quantitative and qualitative emotion using visual and bio-sensing data
Iman Hosseini, Md Zakir Hossain, Yuhao Zhang, et al.
Computer Vision and Image Understanding (2024) Vol. 248, pp. 104121-104121
Closed Access | Times Cited: 1

Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA)
Yijun Zhu, Yuliang Ma, Ming Meng, et al.
Signal Image and Video Processing (2024)
Closed Access | Times Cited: 1

MF-Net: a multimodal fusion network for emotion recognition based on multiple physiological signals
Lei Zhu, Yu Ding, Aiai Huang, et al.
Signal Image and Video Processing (2024) Vol. 19, Iss. 1
Closed Access | Times Cited: 1

Electroencephalogram based face emotion recognition using multimodal fusion and 1-D convolution neural network (ID-CNN) classifier
Youseef Alotaibi, Veera Ankalu Vuyyuru
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 22984-23002
Open Access | Times Cited: 3

Power Line Scene Recognition Based on Convolutional Capsule Network with Image Enhancement
Kuansheng Zou, Shuaiqiang Zhao, Zhenbang Jiang
Electronics (2022) Vol. 11, Iss. 18, pp. 2834-2834
Open Access | Times Cited: 4

EEG-based driver states discrimination by noise fraction analysis and novel clustering algorithm
Rongrong Fu, Zheyu Li, Shiwei Wang, et al.
Biomedical Engineering / Biomedizinische Technik (2023) Vol. 68, Iss. 4, pp. 361-372
Closed Access | Times Cited: 2

Analysis of EEG Signal with Feature and Feature Extraction Techniques for Emotion Recognition Using Deep Learning Techniques
Rajeswari Rajesh Immanuel, S Sangeetha
Lecture notes on data engineering and communications technologies (2023), pp. 141-154
Closed Access | Times Cited: 2

Tiny Deep Learning Architectures Enabling Sensor-Near Acoustic Data Processing and Defect Localization
G. Donati, Federica Zonzini, Luca De Marchi
Computers (2023) Vol. 12, Iss. 7, pp. 129-129
Open Access | Times Cited: 2

Affective Neural Responses Sonified through Labeled Correlation Alignment
Andrés Marino Álvarez-Meza, Héctor Cardona, Mauricio Orozco‐Alzate, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5574-5574
Open Access | Times Cited: 1

A novel variational nonlinear chirp mode decomposition-based critical brain-region investigation for automatic emotion recognition
Kranti S. Kamble, Joydeep Sengupta
Applied Acoustics (2023) Vol. 213, pp. 109620-109620
Closed Access | Times Cited: 1

Attention-based convolution-recurrent neural network for cross-subject EEG emotion recognition
Zhichao Han, Jipu Su, Teng Qin
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2023), pp. 1-6
Closed Access | Times Cited: 1

Deep Capsnets Leaning with a New Dynamic Routing Algorithm for Drift Detection
Borong Lin, Nanlin Jin, Woodward John
(2024)
Closed Access

Enhancing Eye-Tracking Performance Through Multi-task Learning Transformer
Weigeng Li, Neng Zhou, Xiaodong Qu
Lecture notes in computer science (2024), pp. 31-46
Closed Access

Novel fractal pattern based features for EEG-based emotion identification
Garima Garima, Nidhi Goel, Neeru Rathee
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106505-106505
Closed Access

Beyond Deep Learning: Charting the Next Frontiers of Affective Computing
Andreas Triantafyllopoulos, Lukas Christ, Alexander Gebhard, et al.
Intelligent Computing (2024) Vol. 3
Open Access

Application of a Multi-Source Multi-Task Weight Adaptation Framework for Cross-Domain EEG Emotion Recognition(MS-MWA)
Yijun Zhu, Yuliang Ma, Ming Meng, et al.
Research Square (Research Square) (2024)
Closed Access

Set-pMAE: spatial-spEctral-temporal based parallel masked autoEncoder for EEG emotion recognition
Chenyu Pan, Huimin Lu, Chenglin Lin, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 6, pp. 3757-3773
Closed Access

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