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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:

An intelligent machine learning-based sarcasm detection and classification model on social networks
D. Vinoth, P. Prabhavathy
The Journal of Supercomputing (2022) Vol. 78, Iss. 8, pp. 10575-10594
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Improving irony speech spreaders profiling on social networks using clustering & transformer based models
Leila Hazrati, Alireza Sokhandan, Leili Farzinvash
Language Resources and Evaluation (2025)
Closed Access
Sarcasm Detection in Breaking News: Evaluating Official and Satirical Headlines
V. Punjabi, Rajesh Shukla, B. V. Kiranmayee
Lecture notes in electrical engineering (2025), pp. 279-294
Closed Access
Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro
Computers (2025) Vol. 14, Iss. 3, pp. 95-95
Open Access
Deep Learning with Natural Language Processing Enabled Sentimental Analysis on Sarcasm Classification
Abdul Rahaman Wahab Sait, Mohamad Khairi Ishak
Computer Systems Science and Engineering (2022) Vol. 44, Iss. 3, pp. 2553-2567
Open Access | Times Cited: 22
Enhancing sarcasm detection through grasshopper optimization with deep learning based sentiment analysis on social media
Nidamanuri Srinu, K. Sivaraman, M. S. Sriram
International Journal of Information Technology (2024)
Closed Access | Times Cited: 3
Deep Learning for Sarcasm Identification in News Headlines
Rasikh Ali, Tayyaba Farhat, Sanya Abdullah, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5586-5586
Open Access | Times Cited: 7
Sarcasm detection using optimized bi-directional long short-term memory
Vidyullatha Sukhavasi, Venkatrama Phani Kumar Sistla, Venkatesulu Dondeti
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 2
Automated sarcasm detection and classification using hyperparameter tuned deep learning model for social networks
D. Vinoth, Prabhavathy Panneer
Expert Systems (2022) Vol. 39, Iss. 10
Closed Access | Times Cited: 11
A Survey of Sarcasm Detection Techniques in Natural Language Processing
Bhuvanesh Singh, Dilip Kumar Sharma
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023), pp. 1-6
Closed Access | Times Cited: 4
Sarcasm detection methods based on machine learning and deep learning
Zhi-Yu Zhang
Applied and Computational Engineering (2024) Vol. 36, Iss. 1, pp. 119-127
Closed Access | Times Cited: 1
A Construction Method of Hyperbolic Representation Lexicon Oriented to Chinese Ironic Text
G. Zhu, Shuyu Li, Jiawei Li, et al.
IEEE Access (2024) Vol. 12, pp. 80373-80385
Open Access | Times Cited: 1
Advancing Fake Profile Detection: A Machine Learning Perspective
Bharti Goyal, Nasib Singh Gill, Preeti Gulia
(2024), pp. 1-8
Closed Access | Times Cited: 1
Enhancing Social Media Sarcasm Detection Using Chicken Swarm Optimization and Graph Neural Networks
Kamred Udham Singh, Niharika Singh, Varun Chaudhary, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Automated Sarcasm Recognition using Applied Linguistics driven Deep Learning with Large Language Model
Abdulkhaleq Q. A. Hassan, Shoayee Dlaim Alotaibi, WALA BIN SUBAIT, et al.
Fractals (2024) Vol. 32, Iss. 09n10
Closed Access | Times Cited: 1
Text-based Sarcasm Detection on Social Networks: A Systematic Review
Amal Alqahtani, Lubna Alhenaki, Abeer Alsheddi
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 3
Improved ensemble based deep learning approach for sarcastic opinion classification
S. Uma Maheswari, S. S. Dhenakaran
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 38267-38289
Closed Access | Times Cited: 3
Text Classification of Indonesian Translated Hadith Using XGBoost Model and Chi-Square Feature Selection
Dita Julaika Putri, Mahendra Dwifebri, Adiwijaya Adiwijaya
Building of Informatics Technology and Science (BITS) (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 2
Beyond Words: Contextual Sarcasm Detection in News Texts using Advanced Models
Anouska Abhisikta, Mansheel Agarwal, Pradeep Kumar Mallick, et al.
(2024), pp. 566-571
Closed Access
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
Automatic Sarcasm Detection on Cross-Platform Social Media Datasets: A GLoVe and Bi-LSTM Based Approach 
Saima Farhan, Rubiya Shoukat, Aqsa Aslam
JUCS - Journal of Universal Computer Science (2024) Vol. 30, Iss. 5, pp. 674-693
Open Access
SINCERE: A Hybrid Framework With Graph-Based Compact Textual Models Using Emotion Classification and Sentiment Analysis for Twitter Sarcasm Detection
Axel Rodríguez, Yi‐Ling Chen, Carlos Argueta
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 5593-5606
Closed Access
Topic-oriented sarcasm detection via Entity Knowledge-based prompt learning
Yuhao Zhou, Shunxiang Zhang, C. Wang, et al.
Computer Science and Information Systems (2024) Vol. 22, Iss. 1, pp. 33-57
Open Access
Robust Sarcasm Detection using Artificial Rabbits Optimizer with Multilayer Convolutional Encoder-Decoder Neural Network on Social Media
A Palaniammal, P Anandababu
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 5, pp. 1-13
Open Access | Times Cited: 1
A Survey Paper on the Latest Techniques for Sarcasm Detection Using BG Method
Ameya Parkar, Rajni Bhalla
(2022), pp. 35-41
Closed Access | Times Cited: 2
Chaos Sine Cosine Algorithm with Graph Convolution Network for Sarcasm Detection in Social Media
A. Palaniammal, P. Anandababu
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023), pp. 96-102
Closed Access
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