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:

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition
Zhunan Li, Enwei Zhu, Ming Jin, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5964-5973
Closed Access | Times Cited: 58

EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning
Muhammad Najam Dar, Muhammad Usman Akram, Rajamanickam Yuvaraj, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105327-105327
Closed Access | Times Cited: 40

Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition
Qingshan She, Chenqi Zhang, Feng Fang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 37

EEG-based cross-subject emotion recognition using multi-source domain transfer learning
Jie Quan, Ying Li, Lingyue Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104741-104741
Closed Access | Times Cited: 32

PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals
Rushuang Zhou, Zhiguo Zhang, Hong Fu, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 2, pp. 657-670
Closed Access | Times Cited: 25

On the effects of data normalization for domain adaptation on EEG data
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106205-106205
Open Access | Times Cited: 24

Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104998-104998
Closed Access | Times Cited: 24

Multi-view domain-adaptive representation learning for EEG-based emotion recognition
Chao Li, Ning Bian, Ziping Zhao, et al.
Information Fusion (2023) Vol. 104, pp. 102156-102156
Closed Access | Times Cited: 24

Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition
Wenbo Zheng, Lan Yan, Fei‐Yue Wang
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 4, pp. 2595-2613
Closed Access | Times Cited: 23

Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction
Jinhao Zhang, Yanrong Hao, Xin Wen, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 271-271
Open Access | Times Cited: 9

Horizontal and vertical features fusion network based on different brain regions for emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Knowledge-Based Systems (2022) Vol. 247, pp. 108819-108819
Closed Access | Times Cited: 32

Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment
Jiehao Tang, Zhuang Ma, Kaiyu Gan, et al.
Information Fusion (2023) Vol. 103, pp. 102129-102129
Closed Access | Times Cited: 20

Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition
Magdiel Jiménez-Guarneros, Gibrán Fuentes-Pineda
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105138-105138
Closed Access | Times Cited: 19

MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition
Rui Zhang, Huifeng Guo, Zongxin Xu, et al.
Brain Research Bulletin (2024) Vol. 208, pp. 110901-110901
Open Access | Times Cited: 5

GDDN: Graph Domain Disentanglement Network for Generalizable EEG Emotion Recognition
Bianna Chen, C. L. Philip Chen, Tong Zhang
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1739-1753
Closed Access | Times Cited: 5

A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer
Yufan Yi, Yiping Xu, Bo Yang, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 4, pp. 2055-2069
Closed Access | Times Cited: 5

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications
Weizhi Ma, Yujia Zheng, Tianhao Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2065-e2065
Open Access | Times Cited: 5

Dynamic domain adaptive EEG emotion recognition based on multi-source selection
Zhongmin Wang, Menghao Zhao
Review of Scientific Instruments (2025) Vol. 96, Iss. 1
Closed Access

Multimodal emotion recognition by fusing complementary patterns from central to peripheral neurophysiological signals across feature domains
Zhuang Ma, Ao Li, Jiehao Tang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110004-110004
Closed Access

SEDA-EEG: A semi-supervised emotion recognition network with domain adaptation for cross-subject EEG analysis
Weilong Tan, Hongyi Zhang, Wang Ye, et al.
Neurocomputing (2025) Vol. 622, pp. 129315-129315
Closed Access

Multi-view domain adaption based multi-scale convolutional conditional invertible discriminator for cross-subject electroencephalogram emotion recognition
Sivasaravana Babu S, Prabhu Venkatesan, V. Parthasarathy, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access

VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition
Huayu Chen, Junxiang Li, Huanhuan He, et al.
Knowledge-Based Systems (2025), pp. 113018-113018
Closed Access

Multiple class transfer learning framework with source label adaptive correction for EEG emotion recognition
Lei Zhu, Mengxuan Xu, Aiai Huang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107536-107536
Closed Access

DDNet: a hybrid network based on deep adaptive multi-head attention and dynamic graph convolution for EEG emotion recognition
Bingyue Xu, Xin Zhang, Xiu Zhang, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access

Knowledge-guided quantization-aware training for EEG-based emotion recognition
Sheng-hua Zhong, Jiahao Shi, Yi Wang
Journal of Visual Communication and Image Representation (2025) Vol. 108, pp. 104415-104415
Closed Access

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