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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:

Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks
Annika Marie Schoene, Lana Bojanić, Minh-Quoc Nghiem, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 1791-1802
Closed Access | Times Cited: 12

Showing 12 citing articles:

Leveraging distant supervision and deep learning for twitter sentiment and emotion classification
Muhamet Kastrati, Zenun Kastrati, Ali Shariq Imran, et al.
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 4, pp. 1045-1070
Open Access | Times Cited: 8
Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 3
ML-NLPEmot: Machine Learning-Natural Language Processing Event-Based Emotion Detection Proactive Framework Addressing Mental Health
Leila Ismail, Nada Shahin, Huned Materwala, et al.
IEEE Access (2023) Vol. 11, pp. 144126-144149
Open Access | Times Cited: 5
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
Information Fusion (2024), pp. 102673-102673
Closed Access | Times Cited: 1
Guest Editorial Neurosymbolic AI for Sentiment Analysis
Frank Xing, Björn W. Schuller, Iti Chaturvedi, et al.
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 3, pp. 1711-1715
Open Access | Times Cited: 2
Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios
Ismael Leonardo Mieles Toloza, Jesús Armando Delgado Meza
Revista Politécnica (2024) Vol. 53, Iss. 1, pp. 57-72
Open Access
Applications of Large Language Models in the Field of Suicide Prevention: A Scoping Review (Preprint)
Glenn Holmes, Biya Tang, Sunil Gupta, et al.
(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
Applications of Large Language Models in the Field of Suicide Prevention: A Scoping Review (Preprint)
Glenn Holmes, Biya Tang, Sunil Gupta, et al.
Journal of Medical Internet Research (2024)
Open Access
ML-SocMedEmot: Machine Learning Event-based Social Media Emotion Detection Proactive Framework Addressing Mental Health: A Novel Twitter Dataset and Case Study of COVID-19
Leila Ismail, Nada Shahin, Huned Materwala, et al.
(2023)
Open Access | Times Cited: 1
An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection
Annika Marie Schoene, John E. Ortega, Silvio Amir, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2023) Vol. 17, pp. 1158-1162
Open Access
ML-SocMedEmot: Machine Learning Event-based Social Media Emotion Detection Proactive Framework Addressing Mental Health: A Novel Twitter Dataset and Case Study of COVID-19
Leila Ismail, Nada Shahin, Huned Materwala, et al.
Research Square (Research Square) (2023)
Open Access
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