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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:

Depression detection using emotional artificial intelligence and machine learning: A closer review
Manju Lata Joshi, Nehal Kanoongo
Materials Today Proceedings (2022) Vol. 58, pp. 217-226
Closed Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Dual Layer Cogni - Insight Deep-Mood Encoder: A Two- Tiered Approach for Depression Detection
Neda Firoz, Olga Berestneva, Sergey V. Aksyonov
(2024), pp. 928-937
Closed Access | Times Cited: 1
Influenza-like Illness Detection from Arabic Facebook Posts Based on Sentiment Analysis and 1D Convolutional Neural Network
Abdennour Boulesnane, Souham Meshoul, Khaoula Aouissi
Mathematics (2022) Vol. 10, Iss. 21, pp. 4089-4089
Open Access | Times Cited: 7
Contribution of Artificial intelligence to the Promotion of Mental Health
S. Jain, Shashikala Patil, Shivika Dutt, et al.
(2022), pp. 1938-1944
Closed Access | Times Cited: 5
Combining Informative Regions and Clips for Detecting Depression from Facial Expressions
Xiaoyan Yuan, Zhenyu Liu, Qiongqiong Chen, et al.
Cognitive Computation (2023) Vol. 15, Iss. 6, pp. 1961-1972
Closed Access | Times Cited: 2
Hybrid Model for Analysis of Social Media Posts for Identification of Depression and Measuring Its Severity
Jay Nanavati, Unnati Patel
(2023), pp. 1-5
Closed Access | Times Cited: 2
An Automated System for Depression Detection Based on Facial and Vocal Features
Mohit Patil, Vijayshri Khedkar
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 7s, pp. 286-291
Open Access | Times Cited: 2
On the criteria for diagnosing depression in bereaved individuals: a self-organizing map approach
R. Loula, L.H.A. Monteiro
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 5380-5392
Open Access | Times Cited: 3
An evolutionary approach for depression detection from Twitter big data using a novel deep learning model with attention based feature learning mechanism
K. Ram Prabhakar, V. Kavitha
Automatika (2024) Vol. 65, Iss. 2, pp. 441-453
Open Access
A machine learning model to predict privacy fatigued users from social media personalized advertisements
Ghadeer Alwafi, Bahjat Fakieh
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Fine tuning attribute weighted naïve Bayes model for detecting anxiety disorder levels of online gamers
Anastasya Latubessy, Retantyo Wardoyo, Aina Musdholifah, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3277-3277
Open Access
Depression Detection Using Multimodal Analysis with Chatbot Support
A. Sharma, Anuradha Saxena, Ashok Kumar, et al.
(2024), pp. 328-334
Closed Access
Artificial Intelligence and Large Language Models in Mental Healthcare

(2024), pp. 195-215
Closed Access
Persian Depression Detection Chatbot Using Deep Learning
Ali Sohofi, Fateme Sadat Lesani, Zahra Jamalou
(2024), pp. 370-374
Closed Access
Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles
Malik Hasnain Ahmed, Yousaf Saeed, Abid Mehmood, et al.
IEEE Access (2024) Vol. 12, pp. 79838-79850
Open Access
System Based on Efficient Neural Network Fusion for Negative Emotion Classification
R. Bustan, R. Boriceanu, Dan Popescu, et al.
(2024), pp. 274-279
Closed Access
Análisis y creación de un sistema experto para el control y seguimiento de trastornos emocionales en estudiantes universitarios
Saray Mejia Medina, Manuel Alejandro Peláez Mejía, Luisa María Ramírez Montero
Cuaderno activa (2024) Vol. 15, Iss. 1
Closed Access
Advancing Patient Care through Text Data: A Systematic Review of AI, Emotional Analysis, and Patient-Centric Applications in Healthcare
Prashant Kumar Nag, Amit Bhagat, R. Vishnu Priya
(2024)
Open Access
Expanding AI's Role in Healthcare Applications: A Systematic Review of Emotional and Cognitive Analysis Techniques
Prashant Kumar Nag, Amit Bhagat, R. Vishnu Priya
(2024)
Open Access
Unveiling Mental Struggles: NLP-Based Prediction of Depression and Suicide Risk
Reeshan Joarder, Jay Prakash Singh, Debolina Ghosh, et al.
(2024), pp. 1-6
Closed Access
Advice from artificial intelligence: a review and practical implications
Julia I. Baines, Reeshad S. Dalal, Lida P. Ponce, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access
Mental Illness Identification Through EEG Feature Segregation and Machine Learning
Mohit Dayal, Aparna N. Mahajan, Manju Khari
Lecture notes in electrical engineering (2024), pp. 163-174
Closed Access
Tri-Model Synergy: Redefining Depression Detection through the Convergence of ANN, CNN, and SVM
Angelina George, Achal Baniya, Alphonsa Jose, et al.
(2024), pp. 1507-1513
Closed Access
Application of artistic design innovation in promoting rural cultural brand construction
Min Zeng, Chao Jin
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access
Identification of Globally Leading Researchers in the Field of AI Medical Devices
Juan Chen, Jun-Yu Long, Lizi Pan, et al.
(2024), pp. 120-127
Closed Access
Analysis of AI Techniques for Depression Diagnosis
Priya Metri, Shaveta Malik
(2024), pp. 1-5
Closed Access

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