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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:

Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG
Mohsen Sadat Shahabi, Ahmad Shalbaf, Arash Maghsoudi
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 946-959
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Modern Methods of Diagnostics and Treatment of Neurodegenerative Diseases and Depression
Natalia Shusharina, Denis Yukhnenko, Stepan Botman, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 53
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps
Sara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, et al.
IEEE Access (2024) Vol. 12, pp. 50949-50965
Open Access | Times Cited: 15
Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis
Devon Watts, Rafaela Fernandes Pulice, J.P. Reilly, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 59
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal
Sara Bagherzadeh, Mohsen Sadat Shahabi, Ahmad Shalbaf
Computers in Biology and Medicine (2022) Vol. 146, pp. 105570-105570
Closed Access | Times Cited: 51
DiffMDD: A Diffusion-Based Deep Learning Framework for MDD Diagnosis Using EEG
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 728-738
Open Access | Times Cited: 10
Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 108-142
Closed Access | Times Cited: 50
Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals
Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103544-103544
Closed Access | Times Cited: 33
Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification
Venkata Chunduri, Yassine Aoudni, Samiullah Khan, et al.
Journal of Neuroscience Methods (2024) Vol. 406, pp. 110128-110128
Closed Access | Times Cited: 6
Time frequency images as predictors for depressed patients’ respondent status to SSRI antidepressant
Wael Korani, Shyam Sundar Domakonda
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107440-107440
Closed 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
Assessing the utility of brain and gut cognitive electrophysiology for early prediction of treatment outcome in major depressive disorder
Amal Jude Ashwin, Alok Bajpai, Hari Prakash Tiwari, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
M-MDD: A multi-task deep learning framework for major depressive disorder diagnosis using EEG
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
Neurocomputing (2025), pp. 130008-130008
Closed Access
MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress
Likun Xia, Yuan Feng, Ziheng Guo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 9657-9670
Closed Access | Times Cited: 22
M-Mdd: A Multi-Task Deep Learning Framework for Major Depressive Disorder Diagnosis Using Eeg
Yilin Wang, Sha Zhao, Haiteng Jiang, et al.
(2025)
Closed Access
Home-based transcranial direct current stimulation (tDCS) in major depressive disorder: Enhanced network synchronization with active relative to sham and deep learning-based predictors of remission
Wenyi Xiao, Jijomon C. Moncy, Rachel D. Woodham, et al.
Personalized Medicine in Psychiatry (2025) Vol. 49-50, pp. 100147-100147
Closed Access
Image encoded time series classification of small datasets: an innovative architecture using deep learning ensembles
Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
A new deep technique using R-CNN model and L1NSR feature selection for brain MRI classification
Fatih Demir, Yaman Akbulut
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103625-103625
Closed Access | Times Cited: 20
Spatio-temporal scale information fusion of Functional Near-Infrared Spectroscopy signal for depression detection
Jitao Zhong, Guangzhi Ma, Lu Zhang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111165-111165
Closed Access | Times Cited: 11
Image Encoded Time Series Classification of Small Datasets: An Innovative Architecture Using Deep Learning Ensembles
Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Ensemble deep transfer learning model for Arabic (Indian) handwritten digit recognition
Rami S. Alkhawaldeh, Moatsum Alawida, Nawaf Farhan Funkur Alshdaifat, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 705-719
Closed Access | Times Cited: 23
Artificial intelligence empowering research on loneliness, depression and anxiety — Using Covid-19 as an opportunity
Qijian Zheng, Feng Liu, Shuya Xu, et al.
Journal of Safety Science and Resilience (2023) Vol. 4, Iss. 4, pp. 396-409
Open Access | Times Cited: 9
ARFN: An Attention-Based Recurrent Fuzzy Network for EEG Mental Workload Assessment
Z Wang, Yu Ouyang, Hong Zeng
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 3
MI-EEG classification using Shannon complex wavelet and convolutional neural networks
Chang Wang, Yang‐Chang Wu, Chen Wang, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109685-109685
Closed Access | Times Cited: 15
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder
Mohsen Sadat Shahabi, Ahmad Shalbaf, Behrooz Nobakhsh, et al.
International Journal of Neural Systems (2022) Vol. 33, Iss. 02
Closed Access | Times Cited: 13
Optimizing feature subset for schizophrenia detection using multichannel EEG signals and rough set theory
Sridevi Srinivasan, J. Shiny Duela
Cognitive Neurodynamics (2024) Vol. 18, Iss. 2, pp. 431-446
Closed Access | Times Cited: 2
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