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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:

Sarcasm detection using news headlines dataset
Rishabh Misra, Prahal Arora
AI Open (2023) Vol. 4, pp. 13-18
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 22
Arabic sarcasm detection: An enhanced fine-tuned language model approach
Mohamed Galal, Ahmed H. Yousef, Hala H. Zayed, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 6, pp. 102736-102736
Open Access | Times Cited: 7
Improved data labelling method for news headlines classification in cloud environment
A. Sherly Alphonse, S. Abinaya, Nirvik Verma
Connection Science (2025) Vol. 37, Iss. 1
Open Access
Periodic Insight: Multilingual Reputation Generation System through Daily Opinion Mining Analysis
Achraf Boumhidi, Abdessamad Benlahbib, Erik Cambria, et al.
Results in Engineering (2025), pp. 104619-104619
Open Access
Sarcasm detection in online comments using machine learning
Dániel Sándor, Marina Bagić Babac
Information Discovery and Delivery (2023) Vol. 52, Iss. 2, pp. 213-226
Open Access | Times Cited: 12
APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
Yiming Zhu, Zhizhuo Yin, Gareth Tyson, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 245-255
Open Access | Times Cited: 4
A contextual-based approach for sarcasm detection
Nivin A. Helal, Ahmed Hassan, Nagwa Badr, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Sarcasm Identification and Classification in Hindi Newspaper Headlines
I. Ahmad, Praveen Gatla, Rajesh Kumar Mundotiya
ACM Transactions on Asian and Low-Resource Language Information Processing (2025)
Closed Access
Comparative Analysis of Different Models for Sarcastic and Non-sarcastic Text Detection Using NLP
Deval Verma, Pranay Kumar, Manish Agarwal, et al.
Lecture notes in networks and systems (2025), pp. 671-682
Closed Access
A hybrid transformer based model for sarcasm detection from news headlines
Amit Khan, Dipankar Majumdar, Bikromadittya Mondal
Journal of Intelligent Information Systems (2025)
Closed Access
Empowering customer satisfaction chatbot using deep learning and sentiment analysis
Abdelhak Merizig, Houcine Belouaar, M. Bakhouche, et al.
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 3, pp. 1752-1761
Open Access | Times Cited: 2
Profile update: the effects of identity disclosure on network connections and language
Minje Choi, Daniel M. Romero, David Jurgens
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Decoding sarcasm: unveiling nuances in newspaper headlines
D. Suma, M. Raviraja Holla, D. M.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3011-3011
Open Access | Times Cited: 1
Decoding Emotions: Unveiling Sentiments and Sarcasm Through Text Analysis
Ajay Indian, Priyanka Manethia, Gaurav Meena, et al.
Lecture notes in networks and systems (2024), pp. 714-731
Closed Access | Times Cited: 1
Unveiling Sentiment Insights in Smart Cities: Exploring the Role of Social Media
Zahra Davoodian, Azadeh Mohebi
(2024), pp. 68-75
Closed Access
Sarcasm Detection in News Headlines Using ML and DL Models
Jaishitha Thambi, Sai Santhoshi Haneesha Samudrala, Sai Rishisri Vadluri, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-8
Closed Access
Sarcasm Detection in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU
Mochamad Alfan Rosid, Daniel Siahaan, Ahmad Saikhu
IEEE Access (2024) Vol. 12, pp. 137063-137079
Open Access
Hybrid Method for Emotion and Sarcasm Classification in Polish Based on English Dedicated Methods
Urszula Gumińska, Aneta Poniszewska-Marańda, Rémy Dupas
Proceedings of the International Conference on Information Systems Development (2024)
Closed Access
TOPS: A Framework for Trusted Opinion Analysis of Product Reviews Using Hybrid Deep Learning Based D2CL Filter
T. Balaji, Annushree Bablani, S. R. Sreeja, et al.
Expert Systems (2024)
Open Access
Is LLaMA 3 Good at Sarcasm Detection? A Comprehensive Study
Zhelu Mai, Jinran Zhang, Zhuoer Xu, et al.
(2024), pp. 141-145
Closed Access
SARCOVID: A Framework for Sarcasm Detection in Tweets Using Hybrid Transfer Learning Techniques
T. Balaji, Annushree Bablani, S. R. Sreeja, et al.
Lecture notes in computer science (2024), pp. 1-12
Closed Access
Evaluating the Quality of Data: Case of Sarcasm Dataset
Girma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza
Research Square (Research Square) (2024)
Closed Access
Impact of oxymoron features and deep learning techniques in the detection of sarcastic contents
K. Seethappan, K. Premalatha
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9197-9207
Closed Access
Relation between the amount of Sarcasm and the Ratings of English TV shows
Chinmay Dani, Aryan Gholap, Apoorav Maulik Sharma, et al.
(2024), pp. 1-5
Closed Access
Masked Statement Classification in Conversational Text
Nikita Singhal
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 443-456
Open Access
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