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:

Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss
Jian Shen, Yanan Zhang, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3234-3245
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Cross-Cultural Emotion Recognition With EEG and Eye Movement Signals Based on Multiple Stacked Broad Learning System
Xinrong Gong, C. L. Philip Chen, Tong Zhang
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2014-2025
Closed Access | Times Cited: 26

EEG-Based Brain Functional Network Analysis for Differential Identification of Dementia-Related Disorders and Their Onset
Abdulyekeen T. Adebisi, Ho‐Won Lee, Kalyana C. Veluvolu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1198-1209
Open Access | Times Cited: 8

Driving Fatigue Detection Based on Hybrid Electroencephalography and Eye Tracking
Zequan Lian, Tao Xu, Zhen Yuan, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6568-6580
Closed Access | Times Cited: 8

Depression Recognition Using Daily Wearable-Derived Physiological Data
Xinyu Shui, Hao Xu, Shuping Tan, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 567-567
Open Access | Times Cited: 1

A machine learning based depression screening framework using temporal domain features of the electroencephalography signals
Sheharyar Khan, Sanay Muhammad Umar Saeed, Jaroslav Frnda, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299127-e0299127
Open Access | Times Cited: 6

A Spatiotemporal Deep Learning Framework for Scalp EEG-Based Automated Pain Assessment in Children
Zanhao Fu, Huaiyu Zhu, Yi Zhang, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 6, pp. 1889-1900
Closed Access | Times Cited: 5

Deep Learning-Based Wearable Ear-EEG Emotion Recognition System With Superlets-Based Signal-to-Image Conversion Framework
Ngoc-Dau Mai, Ha-Trung Nguyen, Wan‐Young Chung
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11946-11958
Closed Access | Times Cited: 4

A Hybrid Fusion Model for Group-Level Emotion Recognition in Complex Scenarios
Wenjuan Gong, Lijun Wang, Yikai Wu, et al.
Information Sciences (2025), pp. 121968-121968
Closed Access

HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals
Jian Shen, Kunlin Li, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5247-5259
Closed Access | Times Cited: 3

Attention-Guided Multiscale Convolutional Neural Network for Driving Fatigue Detection
Jinbu Tang, Wei Zhou, Wei‐Long Zheng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23280-23290
Closed Access | Times Cited: 3

DeFedHDP: Fully Decentralized Online Federated Learning for Heart Disease Prediction in Computational Health Systems
Mengli Wei, Ju Yang, Zhongyuan Zhao, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6854-6867
Closed Access | Times Cited: 3

fNIRS-Driven Depression Recognition Based on Cross-Modal Data Augmentation
Kai Shao, Yanjie Liu, Yijun Mo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2688-2698
Open Access | Times Cited: 3

A Comprehensive Study on Mental Illness Through Speech and EEG Using Artificial Intelligence
Sanjana Bhat, S R Reeja
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 2

MSHANet: a multi-scale residual network with hybrid attention for motor imagery EEG decoding
Mengfan Li, Jundi Li, Xiao Shi Zheng, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 6, pp. 3463-3476
Closed Access | Times Cited: 2

EEG‐based efficient demographic classification with selective data approach and scalable hybrid network
J. Lee, Jae‐Ho Han
Electronics Letters (2024) Vol. 60, Iss. 10
Open Access | Times Cited: 2

What Can Facial Movements Reveal? Depression Recognition and Analysis Based on Optical Flow Using Bayesian Networks
Yu Ma, Jian Shen, Zeguang Zhao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3459-3468
Open Access | Times Cited: 5

Emotion Recognition From Few-Channel EEG Signals by Integrating Deep Feature Aggregation and Transfer Learning
Fang Liu, Pei Yang, Yezhi Shu, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 1315-1330
Closed Access | Times Cited: 5

Discriminative Joint Knowledge Transfer With Online Updating Mechanism for EEG-Based Emotion Recognition
Xiaowei Zhang, Zhongyi Zhou, Qiqi Zhao, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2918-2929
Closed Access | Times Cited: 4

A Random Forest Weights and 4-Dimensional Convolutional Recurrent Neural Network for EEG Based Emotion Recognition
Wenxu Wang, Jia Yang, Shengjia Li, et al.
IEEE Access (2024) Vol. 12, pp. 39549-39563
Open Access | Times Cited: 1

DRNet: Early Recognition of Depression Based on National Health Survey Data
Haoyu Zhang, Ping Zhang, G. S. Huang, et al.
Lecture notes in computer science (2024), pp. 380-391
Closed Access | Times Cited: 1

Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment
Jiaju Yin, Xinyuan Jia, Haorong Li, et al.
Biosensors (2024) Vol. 14, Iss. 9, pp. 422-422
Open Access | Times Cited: 1

An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection
Tao Xing, Yutao Dou, Xianliang Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Explainable Depression Recognition from EEG Signals via Graph Convolutional Network
Jian Shen, Jiaying Chen, Yu Ma, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 32, pp. 1406-1412
Closed Access | Times Cited: 3

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