Open Access Helper

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:

DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network
Geetanjali Sharma, Amit M. Joshi, Richa Gupta, et al.
IEEE Access (2023) Vol. 11, pp. 52327-52338
Open Access | Times Cited: 24

Showing 24 citing articles:

TSF-MDD: A Deep Learning Approach for Electroencephalography-Based Diagnosis of Major Depressive Disorder with Temporal–Spatial–Frequency Feature Fusion
Wei Gan, R. P. Zhao, Yujie Ma, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 95-95
Open Access | Times Cited: 1
Hardware Based Real Time EEG Signal Analysis for Depression Detection Using Interconnected Graph-Based Features
Ramnivas Sharma, Hemant Kumar Meena
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
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
Novel Features Extraction From EEG Signals for Epilepsy Detection Using Machine Learning Model
Vandana Pandya, Urvashi Prakash Shukla, Amit M. Joshi
IEEE Sensors Letters (2023) Vol. 7, Iss. 10, pp. 1-4
Closed Access | Times Cited: 9
AMGCN-L: an adaptive multi-time-window graph convolutional network with long-short-term memory for depression detection
Han-Guang Wang, Qing‐Hao Meng, Li-Cheng Jin, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 5, pp. 056038-056038
Closed Access | Times Cited: 9
Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy
Sinem Zeynep Metin, Çağlar Uyulan, Shams Farhad, et al.
Clinical EEG and Neuroscience (2024)
Closed Access | Times Cited: 2
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
SLiTRANet: An EEG-based Automated Diagnosis Framework for Major Depressive Disorder Monitoring using a Novel LGCN and Transformer-based Hybrid Deep Learning Approach
Sagnik De, Anurag Singh, Vivek Tiwari, et al.
IEEE Access (2024) Vol. 12, pp. 173109-173126
Open Access | Times Cited: 2
DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features
Nidhi Sinha, M. A. Ganesh Kumar, Amit M. Joshi, et al.
IEEE Access (2023) Vol. 11, pp. 117643-117655
Open Access | Times Cited: 6
Vector-to-Vector Mapping with Stacked Gated Recurrent Units for Biosignal Enhancement
Evangelin Dasan, Rajakumar Gnanaraj, Nelson Samuel Jebastin Jeyabalan
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 7, pp. 4412-4438
Closed Access | Times Cited: 1
Performance and Accuracy Enhancement of Machine Learning & IoT-based Agriculture Precision AI System
Ankur Gupta, Rohit Anand, Nidhi Sindhwani, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 1
iHyptn: Predicting Hypertension using PPG signal for Cardiovascular Disease with Machine Learning Models
Nidhi Sinha, Amit M. Joshi
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2023), pp. 908-913
Closed Access | Times Cited: 2
iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart
Nidhi Sinha, Amit M. Joshi, Saraju P. Mohanty
Lecture notes in networks and systems (2024), pp. 351-359
Closed Access
Depression Detection Using Multimodal Analysis with Chatbot Support
A. Sharma, Anuradha Saxena, Ashok Kumar, et al.
(2024), pp. 328-334
Closed Access
Amultistage Approach For Object Detection And Efficient Parsing Of Video Content
Geetanjali Sharma, Divya Jatain, Shaily Malik, et al.
(2024), pp. 1-6
Closed Access
A Hybrid Neural Network Approach Based on RNN and CNN for the Detection of Major Depressive Disorder
Konapala Srilakshmi Anjana Priya, Hema Kumar Goru, Kunapareddy Kavya Priya, et al.
(2024), pp. 1-6
Closed Access
Revolutionizing Depression Diagnosis: The Synergy of EEG-based Cognitive Biomarkers and Machine Learning
Kiran Boby, Sridevi Veerasingam
Behavioural Brain Research (2024) Vol. 478, pp. 115325-115325
Closed Access
LiFi Luminescence: Illuminating the Future of Wireless
K. Khan, Aman Dahiya, Geetanjali Sharma
SSRN Electronic Journal (2024)
Closed Access
MDD diagnosis based on EEG feature fusion and improved feature selection
Wan Chen, Yanping Cai, Aihua Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107271-107271
Closed Access
iCardo 3.0: ECG-Based Prediction of Conduction Disturbances Using Demographic Features
Nidhi Sinha, Amit M. Joshi, Saraju P. Mohanty
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access
AN INTELLIGENT DEPRESSION DETECTION MODEL BASED ON MULTIMODAL FUSION TECHNOLOGY
Zixuan Cheng, Xisheng Huang, YANG DING
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 08
Closed Access
Automated Depressive Disorder Classification using Optimized CNN-LSTM
A. Meenakshi, M. Sivasakthi
(2024), pp. 1746-1752
Closed Access
Attention module-based fused deep cnn for learning disabilities identification using EEG signal
Nitin Ahire, R. N. Awale, Abhay Wagh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 48331-48356
Closed Access
Exploring Recurrent Neural Network Models for Depression Detection Through Facial Expressions: A Systematic Literature Review
Brilyan Nathanael Rumahorbo, Bens Pardamean, Gregorius Natanael Elwirehardja
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 209-214
Closed Access
Attention-Based VGG-Residual-Inception Module for EEG-Based Depression Detection
Gautam Verma, Mohan Karnati, Malay Kishore Dutta, et al.
(2023), pp. 33-37
Closed Access
Page 1

Scroll to top