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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:

Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
Cici Suhaeni, Hwan-Seung Yong
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9766-9766
Open Access | Times Cited: 13

Showing 13 citing articles:

Generative Pre-Trained Transformer (GPT) in Research: A Systematic Review on Data Augmentation
Fahim Sufi
Information (2024) Vol. 15, Iss. 2, pp. 99-99
Open Access | Times Cited: 25
Sentiment Analysis of Imbalanced Dataset through Data Augmentation and Generative Annotation using DistilBERT and Low-Rank Fine-Tuning
Hossein Nekkouei Nasrabadi, Mohammad Hossein Moattar
(2025)
Closed Access
Research on Sentiment Analysis of Online Public Opinion Based on RoBERTa–BiLSTM–Attention Model
Jiangao Deng, Yue Liu
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2148-2148
Open Access
Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and reinforcement learning
Mohammad Mahdi Motevalli, Mohammad Karim Sohrabi, Farzin Yaghmaee
Information Sciences (2024) Vol. 689, pp. 121449-121449
Closed Access | Times Cited: 4
Comparative Analysis of Machine Learning Algorithms for Arabic Sentiment Analysis on Imbalanced Social Media Data
Basheer Almuhaya, Bishal Saha, Manbir Kaur, et al.
(2024), pp. 1362-1367
Closed Access | Times Cited: 3
A review on emotion detection by using deep learning techniques
Tulika Chutia, Nomi Baruah
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 3
Enhancing Imbalanced Sentiment Analysis: A GPT-3-Based Sentence-by-Sentence Generation Approach
Cici Suhaeni, Hwan-Seung Yong
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 622-622
Open Access | Times Cited: 2
Addressing Data Scarcity in the Medical Domain: A GPT-Based Approach for Synthetic Data Generation and Feature Extraction
Fahim Sufi
Information (2024) Vol. 15, Iss. 5, pp. 264-264
Open Access | Times Cited: 2
Data Augmentation Using Large Language Model for Fake Review Identification
Qingxu Li, Jindong Chen, Wen Zhang
Communications in computer and information science (2024), pp. 225-238
Closed Access
Integrating advanced vision-language models for context recognition in risks assessment
Javier Rodriguez-Juan, David Ortiz-Perez, José García‐Rodríguez, et al.
Neurocomputing (2024) Vol. 618, pp. 129131-129131
Closed Access
Sentiment Classification on the 2024 Indonesian Presidential Candidate Dataset Using Deep Learning Approaches
Cici Suhaeni, Hari Wijayanto, Anang Kurnia
Indonesian Journal of Statistics and Its Applications (2024) Vol. 8, Iss. 2, pp. 83-94
Open Access
Generative AI-based Approach to Concept Drift Generation in Streaming Text Data
Boris Belov, Peter Panfilov
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2024) Vol. 22, pp. 11-20
Open Access
Revealing People’s Sentiment in Natural Italian Language Sentences
Andrea Calvagna, Emiliano Tramontana, Gabriella Verga
Computers (2023) Vol. 12, Iss. 12, pp. 241-241
Open Access | Times Cited: 1
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