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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:

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs
Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi, et al.
(2018), pp. 613-621
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
(2020)
Open Access | Times Cited: 664
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Yitao Cai, Huiyu Cai, Xiaojun Wan
(2019)
Open Access | Times Cited: 230
KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Tan Yue, Rui Mao, Heng Wang, et al.
Information Fusion (2023) Vol. 100, pp. 101921-101921
Closed Access | Times Cited: 59
Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association
Nan Xu, Zhixiong Zeng, Wenji Mao
(2020)
Open Access | Times Cited: 99
Deep Learning in Sentiment Analysis: Recent Architectures
Tariq Abdullah, Ahmed Ahmet
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-37
Closed Access | Times Cited: 44
A transformer-based approach to irony and sarcasm detection
Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
Neural Computing and Applications (2020) Vol. 32, Iss. 23, pp. 17309-17320
Open Access | Times Cited: 67
The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives
Sergey Smetanin
IEEE Access (2020) Vol. 8, pp. 110693-110719
Open Access | Times Cited: 64
Incorporating Emoji Descriptions Improves Tweet Classification
Abhishek Singh, Eduardo Blanco, Wei Jin
(2019)
Open Access | Times Cited: 60
A multimodal fusion method for sarcasm detection based on late fusion
Ning Ding, Shengwei Tian, Long Yu
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 8597-8616
Closed Access | Times Cited: 26
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony
Olha Kaminska, Chris Cornelis, Véronique Hoste
Information Sciences (2023) Vol. 625, pp. 521-535
Open Access | Times Cited: 13
TCIP: Network with topology capture and incongruity perception for sarcasm detection
Ling Gao, Nan Sheng, Yiming Liu, et al.
Information Fusion (2025) Vol. 117, pp. 102918-102918
Closed Access
A multi-modal sarcasm detection model based on cue learning
Ming Lu, Zhiqiang Dong, Ziming Guo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Attention-based Conditioning Methods for External Knowledge Integration
Katerina Margatina, Christos Baziotis, Alexandros Potamianos
(2019)
Open Access | Times Cited: 34
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm
Usman Naseem, Imran Razzak, Peter Eklund, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Open Access | Times Cited: 30
A Multi-Dimension Question Answering Network for Sarcasm Detection
Yufeng Diao, Hongfei Lin, Liang Yang, et al.
IEEE Access (2020) Vol. 8, pp. 135152-135161
Open Access | Times Cited: 28
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
Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis
M. S. M. Prasanna, S. G. Shaila, A. Vadivel
Multimedia Tools and Applications (2023) Vol. 82, Iss. 21, pp. 32789-32825
Closed Access | Times Cited: 7
Multi-view informed attention-based model for Irony and Satire detection in Spanish variants
Reynier Ortega Bueno, Paolo Rosso, José E. Medina Pagóla
Knowledge-Based Systems (2021) Vol. 235, pp. 107597-107597
Open Access | Times Cited: 17
A Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm Detection
Mohammed M. Alani, Nazlia Omar, Ahmed Adil Nafea
Journal of Computer Science (2021) Vol. 17, Iss. 11, pp. 1093-1098
Open Access | Times Cited: 15
Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection
Mattia Antonino Di Gangi, Giosué Lo Bosco, Giovanni Pilato
Natural Language Engineering (2019) Vol. 25, Iss. 2, pp. 257-285
Open Access | Times Cited: 17
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
Dataset Analysis and Augmentation for Emoji-Sensitive Irony Detection
Shirley Anugrah Hayati, Aditi Chaudhary, Naoki Otani, et al.
(2019), pp. 212-216
Open Access | Times Cited: 8
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles
Jiaxu Dao, Jin Wang, Xuejie Zhang
(2020), pp. 1509-1515
Open Access | Times Cited: 8
THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation
Xihao Liang, Ye Ma, Mingxing Xu
(2019), pp. 345-349
Open Access | Times Cited: 7
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task

(2021)
Open Access | Times Cited: 7
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