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 Fast, Efficient Domain Adaptation Technique for Cross-Domain Electroencephalography(EEG)-Based Emotion Recognition
Xin Chai, Qisong Wang, Yong-Ping Zhao, et al.
Sensors (2017) Vol. 17, Iss. 5, pp. 1014-1014
Open Access | Times Cited: 112

Showing 26-50 of 112 citing articles:

Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding
Xingliang Tang, Xianrui Zhang
Entropy (2020) Vol. 22, Iss. 1, pp. 96-96
Open Access | Times Cited: 62

Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization
Javier Fdez, Nicholas Guttenberg, Olaf Witkowski, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 44

Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps
Ante Topic, Mladen Russo, Maja Stella, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3248-3248
Open Access | Times Cited: 29

Role of Wearable Sensing Technology to Manage Long COVID
Kamil Reza Khondakar, Ajeet Kaushik
Biosensors (2022) Vol. 13, Iss. 1, pp. 62-62
Open Access | Times Cited: 28

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

A systematic literature review of emotion recognition using EEG signals
Dwi Wahyu Prabowo, Hanung Adi Nugroho, Noor Akhmad Setiawan, et al.
Cognitive Systems Research (2023) Vol. 82, pp. 101152-101152
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

Cross-subject emotion recognition with contrastive learning based on EEG signal correlations
Mengting Hu, Dan Xu, Kangjian He, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107511-107511
Closed Access

Improved BCI calibration in multimodal emotion recognition using heterogeneous adversarial transfer learning
Mehmet Ali Sarikaya, Gökhan İnce
PeerJ Computer Science (2025) Vol. 11, pp. e2649-e2649
Open Access

Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access

Electroencephalography-based emotion recognition with empirical mode decomposition and ensemble machine learning methods
Abdülhamit Subaşı, Muhammed Enes Subasi, Saeed Mian Qaisar
Elsevier eBooks (2025), pp. 183-203
Closed Access

Constructing a Personalized Cross-Day EEG-Based Emotion-Classification Model Using Transfer Learning
Yuan‐Pin Lin
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1255-1264
Closed Access | Times Cited: 49

A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition
Fei Wang, Weiwei Zhang, Zongfeng Xu, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 15, pp. 9061-9073
Closed Access | Times Cited: 34

Emotion recognition based on multi-modal physiological signals and transfer learning
Zhongzheng Fu, Boning Zhang, Xinrun He, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 24

MetaEmotionNet: Spatial–Spectral–Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition
Xiaojun Ning, Jing Wang, Youfang Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Closed Access | Times Cited: 13

Lightweight attention mechanisms for EEG emotion recognition for brain computer interface
Naresh Kumar Gunda, Mohammed Khalaf, Shaleen Bhatnagar, et al.
Journal of Neuroscience Methods (2024) Vol. 410, pp. 110223-110223
Open Access | Times Cited: 4

Cross-Subject EEG-Based Emotion Recognition with Deep Domain Confusion
Weiwei Zhang, Fei Wang, Yang Jiang, et al.
Lecture notes in computer science (2019), pp. 558-570
Closed Access | Times Cited: 39

Emotion Recognition by Discriminating EEG Segments With High Affective Content From Automatically Selected Relevant Channels
Parthana Sarma, Shovan Barma
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 20

MS-FRAN: A Novel Multi-Source Domain Adaptation Method for EEG-Based Emotion Recognition
Wei Li, Wei Huan, Shitong Shao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5302-5313
Closed Access | Times Cited: 11

Emotion recognition by distinguishing appropriate EEG segments based on random matrix theory
Parthana Sarma, Shovan Barma
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102991-102991
Closed Access | Times Cited: 25

Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review
Matteo Spezialetti, Luigi Cinque, João Manuel R. S. Tavares, et al.
Behaviour and Information Technology (2018) Vol. 37, Iss. 8, pp. 855-871
Open Access | Times Cited: 29

Deep Learning Based on CNN for Emotion Recognition Using EEG Signal
Isah Salim Ahmad, Shuai Zhang, Sani Saminu, et al.
WSEAS TRANSACTIONS ON SIGNAL PROCESSING (2021) Vol. 17, pp. 28-40
Open Access | Times Cited: 19

Progressive low-rank subspace alignment based on semi-supervised joint domain adaption for personalized emotion recognition
Junhai Luo, Man Wu, Zhiyan Wang, et al.
Neurocomputing (2021) Vol. 456, pp. 312-326
Closed Access | Times Cited: 18

Scroll to top