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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:

Deep Hierarchical Ensemble Model for Suicide Detection on Imbalanced Social Media Data
Zepeng Li, Jiawei Zhou, Zhengyi An, et al.
Entropy (2022) Vol. 24, Iss. 4, pp. 442-442
Open Access | Times Cited: 18

Showing 18 citing articles:

Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman
IEEE Access (2024) Vol. 12, pp. 14350-14363
Open Access | Times Cited: 13
KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content
Dongsong Zhang, Lina Zhou, Jie Tao, et al.
Information Systems Research (2024)
Closed Access | Times Cited: 8
Enhancing suicidal ideation detection through advanced feature selection and stacked deep learning models
Shiv Shankar Prasad Shukla, Maheshwari Prasad Singh
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm
Jaskaran Singh, Narpinder Singh, Mostafa M. Fouda, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2092-2092
Open Access | Times Cited: 14
Mining Suicidal Ideation in Chinese Social Media: A Dual-Channel Deep Learning Model with Information Gain Optimization
Xiuyang Meng, Xiaohui Cui, Yue Zhang, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 116-116
Open Access
Revolutionizing Suicide Ideation Detection in Social Media: An Ensemble Optimized Bi-GRU with Attention Approach
Shiv Shankar Prasad Shukla, Maheshwari Prasad Singh
Communications in computer and information science (2025), pp. 80-93
Closed Access
Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Behavioral Sciences (2025) Vol. 15, Iss. 3, pp. 352-352
Open Access
Detecting Suicidal Ideation in Social Media: An Ensemble Method Based on Feature Fusion
Jingfang Liu, Mengshi Shi, Huihong Jiang
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 13, pp. 8197-8197
Open Access | Times Cited: 21
Brainstorming Will Never Be the Same Again—A Human Group Supported by Artificial Intelligence
Franc Lavrič, Andrej Škraba
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 4, pp. 1282-1301
Open Access | Times Cited: 11
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: 2
Stacked Classification Approach using Optimized Hybrid Deep Learning Model for Early Prediction of Behaviour Changes on Social Media
Shiv Shankar Prasad Shukla, Maheshwari Prasad Singh
ACM Transactions on Asian and Low-Resource Language Information Processing (2024) Vol. 23, Iss. 11, pp. 1-22
Open Access | Times Cited: 2
Suicidal Intention Detection in Tweets Using BERT-Based Transformers
Gayathri Ananthakrishnan, Ashok Kumar Jayaraman, Tina Esther Trueman, et al.
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2022), pp. 322-327
Closed Access | Times Cited: 9
Depression and Disclosure Behavior via Social Media using CNN and NLP
Mr. Suraj Damre
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 4190-4195
Open Access
The Unveiling Distress: Harnessing NLP and Deep Learning to Identify Suicidal Signals in Tweets
S. Atruba Feroze, S.M Bazif Feroze, Uzma Abbasi
International Journal of Technology Innovation and Management (IJTIM) (2024) Vol. 4, Iss. 1, pp. 20-31
Closed Access
Depression Detection Based on Features of Depressive Behaviour Through Social Media Analytic: A Systematic Literature Review
Nur Amira Mat Ripah, Aliza Abdul Latif, Zaihisma Che Cob, et al.
Lecture notes in electrical engineering (2023), pp. 193-203
Closed Access
Brainstorming Will Never Be The Same Again – Human Group Supported by Artificial Intelligence
Franc Lavrič, Andrej Škraba
(2023)
Open Access
Suicidal Ideation Detection from social media: A Detailed Review of Machine Learning and Deep Learning
K.Senil Seby, M. Elamparithi, V. Anuratha
International Journal of Membrane Science and Technology (2023) Vol. 10, Iss. 2, pp. 2716-2722
Open Access
Depression and Disclosure Behavior via Social Media Using CNN
Vishal D. Tayade, Milind V. Kulkarni
Lecture notes in networks and systems (2022), pp. 347-355
Closed Access
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