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:

Psychological Analysis for Depression Detection from Social Networking Sites
Sonam Gupta, Lipika Goel, Arjun Singh, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data
Aleena Nadeem, Muhammad Naveed, Muhammad Islam Satti, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9775-9775
Open Access | Times Cited: 33

An Enhanced BERT Model for Depression Detection on Social Media Posts
R. Nareshkumar, K. Nimala
Lecture notes in networks and systems (2024), pp. 53-64
Closed Access | Times Cited: 5

Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Prabal Datta Barua, Jahmunah Vicnesh, Oh Shu Lih, et al.
Cognitive Neurodynamics (2022) Vol. 18, Iss. 1, pp. 1-22
Open Access | Times Cited: 19

Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer
Yongfeng Tao, Minqiang Yang, Yushan Wu, et al.
Digital Communications and Networks (2023) Vol. 10, Iss. 3, pp. 577-585
Open Access | Times Cited: 12

A Hybrid BERT-CNN Approach for Depression Detection on Social Media Using Multimodal Data
Rohit Beniwal, Pavi Saraswat
The Computer Journal (2024) Vol. 67, Iss. 7, pp. 2453-2472
Closed Access | Times Cited: 3

Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Aysha Khan, Rashid Ali
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3

A psychological evaluation method incorporating noisy label correction mechanism
Zhigang Jin, R. Su, Yuhong Liu, et al.
Soft Computing (2024) Vol. 28, Iss. 11-12, pp. 7395-7407
Open Access | Times Cited: 2

A deep learning approach for the depression detection of social media data with hybrid feature selection and attention mechanism
M. Bhuvaneswari, V. Lakshmi Prabha
Expert Systems (2023) Vol. 40, Iss. 9
Closed Access | Times Cited: 6

Improving Accuracy and Robustness in Depression Detection with Ensemble Learning and Optimization Techniques
Meena Kumari, Gurpreet Singh, Sagar Dhanraj Pande
Lecture notes in networks and systems (2024), pp. 33-43
Closed Access | Times Cited: 1

Stratification of Depressed and Non-Depressed Texts from Social Media using LSTM and its Variants
Keerthan Kumar T G, R Anoop, Shashidhar G Koolagudi, et al.
Procedia Computer Science (2024) Vol. 235, pp. 1353-1363
Open Access | Times Cited: 1

The use of machine learning and deep learning models in detecting depression on social media: A systematic literature review
Wadzani Aduwamai Gadzama, Danlami Gabi, Musa Sule Argungu, et al.
Personalized Medicine in Psychiatry (2024) Vol. 45-46, pp. 100125-100125
Closed Access | Times Cited: 1

Detecting depression tendency based on deep learning and multi-sources data
Weijun Ma, Song Qiu, Jue Miao, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105226-105226
Closed Access | Times Cited: 3

A Hybrid Machine Learning Approach for Credit Card Fraud Detection
Sonam Gupta, Tushtee Varshney, Abhinav Verma, et al.
International Journal of Information Technology Project Management (2022) Vol. 13, Iss. 3, pp. 1-13
Closed Access | Times Cited: 5

Detecting Emotional Impact on Young Minds Based on Web Page Text Classification Using Data Analytics and Machine Learning
A. K. Dutta, Tuhin Kumar Mondal, Shakshi Singh, et al.
Communications in computer and information science (2024), pp. 170-181
Closed Access

Comparative Analysis of Machine Learning and Deep Learning Algorithms for Twitter-Based Depression Detection
Emanoel Santos, Lucas Lattari, Maurício Antônio de Oliveira Coelho, et al.
(2024), pp. 1-7
Open Access

From Data to Diagnosis: Investigating Approaches in Mental Illness Detection
Reem Kadry Montasser, Sherif A. Mazen, Iman M. A. Helal
(2024) Vol. 9, pp. 563-568
Closed Access

Unveiling Depression on Social Media: Active Learning with Human-in-the-Loop Labeling for Mental Health Data Annotation and Analysis
Mohsinul Kabir, Faria Binte Kader, Nafisa Hossain Nujat, et al.
Lecture notes in computer science (2024), pp. 78-92
Closed Access

Review of Class Imbalance Dataset Handling Techniques for Depression Prediction and Detection
Simisani Ndaba
International Journal on Cybernetics & Informatics (2023) Vol. 12, Iss. 2, pp. 31-45
Open Access | Times Cited: 1

Class Imbalance Handling Techniques used in Depression Prediction and Detection
Simisani Ndaba
International Journal of Data Mining & Knowledge Management Process (2023) Vol. 13, Iss. 1/2, pp. 17-33
Open Access | Times Cited: 1

Mental Health Predictions Through Online Social Media Analytics
Moumita Chatterjee, Subrata Modak, Dhrubasish Sarkar
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2023), pp. 44-66
Closed Access | Times Cited: 1

An embedded feature selection approach for depression classification using short text sequences
S. Kavi Priya, Pon Karthika K
Applied Soft Computing (2023) Vol. 147, pp. 110828-110828
Closed Access | Times Cited: 1

Retracted: Psychological Analysis for Depression Detection from Social Networking Sites
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 1

Performance of Content-Based Features to Detect Depression Tendencies in Different Text Lengths
Nur Zareen Zulkarnain, Noor Fazilla Abd Yusof, Sharifah Sakinah Syed Ahmad, et al.
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (2022) Vol. 7, pp. 1-5
Closed Access | Times Cited: 2

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