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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:

A deep learning-based comparative study to track mental depression from EEG data
Avik Sarkar, Ankita Singh, Rakhi Chakraborty
Neuroscience Informatics (2022) Vol. 2, Iss. 4, pp. 100039-100039
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

The role of artificial neural network and machine learning in utilizing spatial information
Akash Goel, Amit Kumar Goel, Adesh Kumar
Spatial Information Research (2022) Vol. 31, Iss. 3, pp. 275-285
Open Access | Times Cited: 98
Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data
Imran Mehmood, Heng Li, Yazan Qarout, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101978-101978
Open Access | Times Cited: 49
The applied principles of EEG analysis methods in neuroscience and clinical neurology
Hao Zhang, Qing-Qi Zhou, He Chen, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 43
Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques
Amel Ksibi, Mohammed Zakariah, Leila Jamel, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1779-1779
Open Access | Times Cited: 31
A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques
Pranati Rakshit, Avik Sarkar
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 8
Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
Vankayala Tejaswini, Korra Sathya Babu, Bibhudatta Sahoo
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-20
Closed Access | Times Cited: 34
QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals
Gülay TAŞCI, Mehmet Veysel Gün, Tuğçe Keleş, et al.
Chaos Solitons & Fractals (2023) Vol. 172, pp. 113472-113472
Closed Access | Times Cited: 16
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Open Access
Integration of software-based cognitive approaches and brain-like computer machinery for efficient cognitive computing
Chitrakant Banchhor, Manoj Kumar Rawat, Rahul Joshi, et al.
Neuroscience Informatics (2025), pp. 100194-100194
Open Access
Early detection of neurological abnormalities using a combined phase space reconstruction and deep learning approach
Amjed Al Fahoum, Ala’a Zyout
Intelligence-Based Medicine (2023) Vol. 8, pp. 100123-100123
Open Access | Times Cited: 14
An Efficient Analysis of EEG Signals to Perform Emotion Analysis
Ahnaf Akif Rahman, Md Rizwanul Kabir, Rashed Hasan Ratul, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 13
Machine Learning and Electroencephalogram Signal based Diagnosis of Depression
Adil O. Khadidos, Khaled H. Alyoubi, Shalini Mahato, et al.
Neuroscience Letters (2023) Vol. 809, pp. 137313-137313
Closed Access | Times Cited: 12
Experimental Analysis of Employee Depression Identification System Using Modified Learning Procedure with AI Assistance
A. Megala˥, Ramchandra D. Patil, V.P. Gladis Pushparathi, et al.
(2024)
Closed Access | Times Cited: 4
Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features
Talal Daghriri, Furqan Rustam, Wajdi Aljedaani, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2855-2855
Open Access | Times Cited: 20
A review of arthritis diagnosis techniques in artificial intelligence era: Current trends and research challenges
Maleeha Imtiaz, Syed Afaq Ali Shah, Zia ur Rehman
Neuroscience Informatics (2022) Vol. 2, Iss. 4, pp. 100079-100079
Open Access | Times Cited: 19
A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals
Jolly Ehiabhi, Haifeng Wang
BioMedInformatics (2023) Vol. 3, Iss. 1, pp. 193-219
Open Access | Times Cited: 10
S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram
Abgeena Abgeena, Shruti Garg
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 10
GCNs–FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization
Wei Li, Hong Wang, Luhe Zhuang
Expert Systems with Applications (2023) Vol. 228, pp. 120227-120227
Closed Access | Times Cited: 9
A Feature-Level Fusion-Based Multimodal Analysis of Recognition and Classification of Awkward Working Postures in Construction
Xiaer Xiahou, Zirui Li, Jikang Xia, et al.
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 12
Closed Access | Times Cited: 8
Advancing spinal cord injury care through non-invasive autonomic dysreflexia detection with AI
Sidharth Pancholi, Thomas H. Everett, Bradley S. Duerstock
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Human attention detection system using deep learning and brain–computer interface
S. Anju Latha Nair, Rajesh Kannan Megalingam
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10927-10940
Closed Access | Times Cited: 2
Social Media Text Sentiment Analysis: Exploration Of Machine Learning Methods
Xing Fan, Humaira Ashraf, Uswa Ihsan, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Localization of stroke lesion in MRI images using object detection techniques: A comprehensive review
Sangeeta Rani, Bhupesh Kumar Singh, Deepika Koundal, et al.
Neuroscience Informatics (2022) Vol. 2, Iss. 3, pp. 100070-100070
Open Access | Times Cited: 12
Two-Dimensional Convolutional Neural Network for Depression Episodes Detection in Real Time Using Motor Activity Time Series of Depresjon Dataset
Carlos H. Espino-Salinas, Carlos E. Galván-Tejada, Huizilopoztli Luna-García, et al.
Bioengineering (2022) Vol. 9, Iss. 9, pp. 458-458
Open Access | Times Cited: 12
Classification of Post-COVID-19 Emotions with Residual-Based Separable Convolution Networks and EEG Signals
Qaisar Abbas, Abdul Rauf Baig, Ayyaz Hussain
Sustainability (2023) Vol. 15, Iss. 2, pp. 1293-1293
Open Access | Times Cited: 6
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