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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:

Transformer-Based Word Embedding With CNN Model to Detect Sarcasm and Irony
Ravinder Ahuja, Sachin Sharma
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 8, pp. 9379-9392
Closed Access | Times Cited: 23

Showing 23 citing articles:

Enhanced Crop Disease Detection With EfficientNet Convolutional Group-Wise Transformer
J Feng, Wen Eng Ong, Wen Chean Teh, et al.
IEEE Access (2024) Vol. 12, pp. 44147-44162
Open Access | Times Cited: 7
Bayesian game model based unsupervised sentiment analysis of product reviews
Neha Punetha, Goonjan Jain
Expert Systems with Applications (2022) Vol. 214, pp. 119128-119128
Closed Access | Times Cited: 26
Algorithms for optimizing the effect of English machine translation using transformer mode
Yan Ma
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
A smart video analytical framework for sarcasm detection using novel adaptive fusion network and SarcasNet-99 model
Jamuna S. Murthy, Siddesh Gaddadevara Matt
The Visual Computer (2024)
Closed Access | Times Cited: 3
Application of a deep generative model produces novel and diverse functional peptides against microbial resistance
Jiashun Mao, Shenghui Guan, Yongqing Chen, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 463-471
Open Access | Times Cited: 15
Customers’ metaverse service encounter perceptions: sentiment analysis and topic modeling
S. Jerrin Issac Sam, K. Mohamed Jasim, M. Babu
Journal of Hospitality Marketing & Management (2024), pp. 1-23
Closed Access | Times Cited: 2
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
Irony Detection for Dutch: a Venture into the Implicit
Aaron Maladry, Els Lefever, Cynthia Van Hee, et al.
(2022), pp. 172-181
Open Access | Times Cited: 9
BERTuit: Understanding Spanish language in Twitter with transformers
Javier Huertas‐Tato, Alejandro Martín, David Camacho
Expert Systems (2023) Vol. 40, Iss. 9
Open Access | Times Cited: 4
Fire detection using deep learning methods
Aigulim Bayegizova, Gulzira Abdikerimova, Samal Kaliyeva, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 14, Iss. 1, pp. 547-547
Open Access | Times Cited: 3
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
Sarcasm Identification in text with deep learning models and Glove word embedding
Ganesh Chandrasekaran, D. Jude Hemanth, M. Saravanan
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2022), pp. 879-884
Closed Access | Times Cited: 5
Sentiment Analysis of Stock Prices and News Headlines Using the MCDM Framework
Neha Punetha, Goonjan Jain
(2022), pp. 1-4
Closed Access | Times Cited: 4
NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning
Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 862-870
Open Access | Times Cited: 3
Amplifying document categorization with advanced features and deep learning
M. Kavitha, K. Akila
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68087-68105
Closed Access
Delving into Linguistic Nuances: Exploring Humor in Tulu Versus Analyzing Humor, Sarcasm and Irony in Kannada
Thanmayi S. Hegde, V Vindhya, V. Madhulika, et al.
Lecture notes in networks and systems (2024), pp. 393-412
Closed 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
Student Opinion Mining About Instructor Using Optimized Ensemble Machine Learning Model and Feature Fusion
Ravinder Ahuja, Sachin Sharma
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access
Brain Network Features Differentiate Intentions from Different Emotional Expressions of the Same Text
Zhongjie Li, Bin Zhao, Gaoyan Zhang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection
Aaron Maladry, Els Lefever, Cynthia Van Hee, et al.
(2023), pp. 315-324
Open Access | Times Cited: 1
Trends in Natural Language Understanding with sentence representation and sentiment analysis
Urszula Gumińska, Aneta Poniszewska-Marańda, Joanna Ochelska-Mierzejewska
Research Square (Research Square) (2023)
Open Access
Enhanced Deep Learning-Based Model for Sentiment Analysis to Identify Sarcasm Appeared in the News
Isha Gupta, Indranath Chatterjee, Neha Gupta
Computing and Informatics (2023) Vol. 42, Iss. 5, pp. 1091-1113
Open Access
Comparative Analysis of Traditional and Contextual Embedding for Bangla Sarcasm Detection in Natural Language Processing
Kaji Mehedi Hasan Fahim, Mithila Moontaha, Mashrur Rahman, et al.
(2023), pp. 293-299
Closed Access
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