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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 Deep Learning With Contextual Features
Md Saifullah Razali, Alfian Abdul Halin, Lei Ye, et al.
IEEE Access (2021) Vol. 9, pp. 68609-68618
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Multimodal Sarcasm Detection via Hybrid Classifier with Optimistic Logic
Dnyaneshwar Bavkar, Ramgopal Kashyap, Vaishali D. Khairnar
Journal of Telecommunications and Information Technology (2022) Vol. 3, Iss. 2022, pp. 97-114
Open Access | Times Cited: 85
Deep Hybrid Model with Trained Weights for Multimodal Sarcasm Detection
Dnyaneshwar Bavkar, Ramgopal Kashyap, Vaishali D. Khairnar
Lecture notes in networks and systems (2023), pp. 179-194
Closed Access | Times Cited: 84
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
Evaluating text classification: A benchmark study
Manon Reusens, Alexander Stevens, Jonathan Tonglet, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124302-124302
Open Access | Times Cited: 7
N-Gram Based Sarcasm Detection for News and Social Media Text Using Hybrid Deep Learning Models
Chetana Thaokar, Jitendra Kumar Rout, Minakhi Rout, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 5
An unsupervised sarcasm detection in Indian political tweets: A comprehensive approach
Faranadia Abdul Haris, S. Dutt, Mahesh Appukuttan Nair Sreedevi Amma
AIP conference proceedings (2025) Vol. 3281, pp. 030032-030032
Closed 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
Hybrid-Sarcasm: An Approach for Sarcasm Detection and Classification Using Hybrid Machine Learning Methods
B. Rajani, Sameer Saxena, B. Suresh Kumar, et al.
Communications in computer and information science (2025), pp. 264-280
Closed Access
From Humor to Irony: A Transformer-Based Multi-Class Sarcasm Detection Framework
Ramakrishna Bodige, Ramesh babu Akarapu, Pramod kumar Poladi, et al.
(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
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
A progressive interaction model for multimodal sarcasm detection
Yulei Zhang, Guangli Zhu, Yuanyuan Ding, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
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
Sarcasm detection of tweets without #sarcasm: data science approach
Rupali Amit Bagate, R. Suguna
Indonesian Journal of Electrical Engineering and Computer Science (2021) Vol. 23, Iss. 2, pp. 993-993
Open Access | Times Cited: 13
Detecting Irony in Arabic Microblogs using Deep Convolutional Neural Networks
Linah Alhaidari, Khaled H. Alyoubi, Fahd S. Alotaibi
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?
Mondher Bouazizi, Tomoaki Ohtsuki
IEEE Access (2022) Vol. 10, pp. 55958-55987
Open Access | Times Cited: 8
Interpretable Bangla Sarcasm Detection using BERT and Explainable AI
Ramisa Anan, Tasnim Sakib Apon, Zeba Tahsin Hossain, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 1272-1278
Open Access | Times Cited: 4
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 and Classification Using Deep Learning Model
B. Rajani, Sameer Saxena, B. Suresh Kumar, et al.
Lecture notes in networks and systems (2024), pp. 387-398
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
An advanced learning approach for detecting sarcasm in social media posts: Theory and solutions
Pradeep Kumar Roy
Social Science Quarterly (2024)
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
Context-Driven Satire Detection With Deep Learning
Md Saifullah Razali, Alfian Abdul Halin, Yang-Wai Chow, et al.
IEEE Access (2022) Vol. 10, pp. 78780-78787
Open Access | Times Cited: 7
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