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:

Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media
Ramya Akula, Iván Garibay
Entropy (2021) Vol. 23, Iss. 4, pp. 394-394
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Social media analytics for innovation management research: A systematic literature review and future research agenda
Andrea Geißinger, Christofer Laurell, Christina Öberg, et al.
Technovation (2023) Vol. 123, pp. 102712-102712
Open Access | Times Cited: 23

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

Sentiment analysis tools in software engineering: A systematic mapping study
Martin Obaidi, Lukas Nagel, Alexander Specht, et al.
Information and Software Technology (2022) Vol. 151, pp. 107018-107018
Closed Access | Times Cited: 27

Sarcasm detection framework using context, emotion and sentiment features
Oxana Vitman, Yevhen Kostiuk, Grigori Sidorov, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121068-121068
Open Access | Times Cited: 14

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

Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques
Ya‐Han Hu, T A Liu, Chih-Fong Tsai, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access

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

A comparative analysis of transformer based models for figurative language classification
Taha Junaid, D. Sumathi, Arun Sasikumar, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108051-108051
Closed Access | Times Cited: 15

A fuzzy approach for sarcasm detection in social networks
Amina Ben Meriem, Lobna Hlaoua, Lotfi Romdhane
Procedia Computer Science (2021) Vol. 192, pp. 602-611
Open Access | Times Cited: 20

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

Interpreting sarcasm on social media using attention-based neural networks
Zahra Keivanlou-Shahrestanaki, Mohsen Kahani, Fattane Zarrinkalam
Knowledge-Based Systems (2022) Vol. 258, pp. 109977-109977
Closed Access | Times Cited: 11

Identifying sarcasm using heterogeneous word embeddings: a hybrid and ensemble perspective
Ravi Teja Gedela, Pavani Meesala, Ujwala Baruah, et al.
Soft Computing (2023)
Closed Access | Times Cited: 6

Bio-Inspired Artificial Intelligence with Natural Language Processing Based on Deceptive Content Detection in Social Networking
Amani Abdulrahman Albraikan, Mohammed Maray, Faiz Abdullah Alotaibi, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 449-449
Open Access | Times Cited: 5

Deep Contextualised Text Representation and Learning for Sarcasm Detection
Ravi Teja Gedela, Ujwala Baruah, Badal Soni
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 3, pp. 3719-3734
Closed Access | Times Cited: 4

Sarcasm detection based on BERT and attention mechanism
Jiana Meng, Yanlin Zhu, Shichang Sun, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 29159-29178
Closed Access | Times Cited: 4

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

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

Enhanced Semantic Representation Learning for Sarcasm Detection by Integrating Context-Aware Attention and Fusion Network
Shufeng Hao, Jikun Yao, Chongyang Shi, et al.
Entropy (2023) Vol. 25, Iss. 6, pp. 878-878
Open Access | Times Cited: 3

Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements
Sourav Das, Soumitra Ghosh, Anup Kumar Kolya, et al.
Language Resources and Evaluation (2022) Vol. 57, Iss. 2, pp. 765-802
Closed Access | Times Cited: 4

Stacking Ensemble-Based Approach for Sarcasm Identification with Multiple Contextual Word Embeddings
Ganesh Murthy, Ravi Teja Gedela, Sasibhushana Rao Pappu
Lecture notes in networks and systems (2024), pp. 71-81
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

Enhanced Sarcasm Detection using Grey Wolf Optimizer with Deep Learning on Social Media
M. Manimaraboopathy, D Rajeshwari, R Rathiya, et al.
(2024), pp. 1572-1577
Closed Access

A Pragmatic Study on Various Approaches Used for Sarcasm Detection
Anjana Mishra, Sukant Kishoro Bisoy, Kunal Kanti Howladar
(2024), pp. 1-5
Closed Access

Automated Offensive Comment Detection for the Romanian Language
Andrei Paraschiv, Andreea Cojocaru, Mihai Dascălu
Learning and analytics in intelligent systems (2024), pp. 85-110
Closed Access

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