Open Access Helper

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:

Stacked CNN - LSTM approach for prediction of suicidal ideation on social media
Bhavini Priyamvada, Shruti Singhal, Anand Nayyar, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 27883-27904
Closed Access | Times Cited: 9

Showing 9 citing articles:

Ensemble Multifeatured Deep Learning Models and Applications: A Survey
Satheesh Abimannan, El-Sayed M. El-Alfy, Yue‐Shan Chang, et al.
IEEE Access (2023) Vol. 11, pp. 107194-107217
Open Access | Times Cited: 24
A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
Arturo Montejo‐Ráez, M. Dolores Molina-González, Salud María Jiménez-Zafra, et al.
Computer Science Review (2024) Vol. 53, pp. 100654-100654
Open Access | Times Cited: 4
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
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
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
Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships
Xiuyang Meng, Chunling Wang, Jingran Yang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4259-4281
Open Access | Times Cited: 1
Suicidal Tweet Detection Using Ensemble Learning: A Multi-Model Approach for Early Intervention
Arjun Sharma, Shantanu Neema
(2023), pp. 1-6
Closed Access | Times Cited: 1
Incorporating Time Perspectives into Detection of Suicidal Ideation
Qianyi Yang, Jing Zhou
(2023), pp. 1-8
Closed Access | Times Cited: 1
Suicide Ideation Detection: Harnessing Machine and Deep Learning for Early Risk Identification
Himanshu Gupta, Kamal Kumar Gola, Sumit Kumar, et al.
(2023) Vol. 9, pp. 1555-1562
Closed Access
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