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:

Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
Vankayala Tejaswini, Korra Sathya Babu, Bibhudatta Sahoo
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-20
Closed Access | Times Cited: 34

Showing 26-50 of 34 citing articles:

Using Machine Learning to Track Disability Discourse on Social Media
Sandra Kumi, Charles C. Snow, Joseph Marfo-Gyimah, et al.
(2024), pp. 141-150
Closed Access
Leveraging machine learning to uncover the dynamic evolution of business models in intelligent manufacturing
Weihong Xie, Rongkang Chen, Zhongshun Li
Computers & Industrial Engineering (2024), pp. 110597-110597
Closed Access
Leveraging Corpus Linguistics and Data-Driven Deep Learning for Textual Emotion Analysis
Somia A. Asklany, Najla I. Al-Shathry, Abdulkhaleq Q. A. Hassan, et al.
Fractals (2024) Vol. 32, Iss. 09n10
Closed Access
Empowering Mental Health Awareness: Naive Bayes Analysis of Social Media Interactions
Ruchika Bhuria, Sheifali Gupta
(2024), pp. 525-529
Closed Access
Deep learning-based natural language processing in human–agent interaction: Applications, advancements and challenges
Nafiz Ahmed, Anik Saha, Md. Abdullah Al Noman, et al.
Natural Language Processing Journal (2024) Vol. 9, pp. 100112-100112
Open Access
Multiclass Classification of Mental Health Disorders Using XGBoost-HOA Algorithm
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
M.I.N.I.-KID interviews with adolescents: a corpus-based language analysis of adolescents with depressive disorders and the possibilities of continuation using Chat GPT
Irina Jarvers, Angelika Ecker, Pia Donabauer, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access
BERT-Driven Deep Learning Approach for Depression Detection in Social Media Posts
Prashant Karna, Sonu Kumar Keshari, Ashis Mandal, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Screening for Depression Using Natural Language Processing (NLP): A Literature Review (Preprint)
Bazen Gashaw Teferra, Alice Rueda, Hilary Pang, et al.
(2023)
Closed Access
Beyond Posts: A Study to Predict the Transition from Depression to Suicidal Ideation among Indo-Bangladeshi Individuals Using Facebook Data (Preprint)
Manoshi Das Turjo, Khushboo Suchit Mundada, Nuzhat Jabeen Haque, et al.
(2023)
Closed Access
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