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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:

SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281

Showing 26-50 of 281 citing articles:

Detection of Minor and Major Depression through Voice as a Biomarker Using Machine Learning
Daun Shin, Won Kyong Cho, C. Hyung Keun Park, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 14, pp. 3046-3046
Open Access | Times Cited: 53
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
Fajri Koto, Jey Han Lau, Timothy Baldwin
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 10660-10668
Open Access | Times Cited: 49
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Minje Choi, Jiaxin Pei, Sagar Kumar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 19
Contrastive classification: A label-independent generalization model for text classification
Yi Liang, Turdi Tohti, Askar Hamdulla
Expert Systems with Applications (2024) Vol. 245, pp. 123130-123130
Closed Access | Times Cited: 6
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Rabindra Lamsal, Maria A. Rodriguez, Shanika Karunasekera
Knowledge-Based Systems (2024) Vol. 296, pp. 111916-111916
Open Access | Times Cited: 6
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
Overview of the Task on Irony Detection in Spanish Variants.
Reynier Ortega Bueno, Francisco M. Rangel Pardo, Delia Irazú Hernández Farías, et al.
IberLEF@SEPLN (2019), pp. 229-256
Closed Access | Times Cited: 43
A pragmatic and intelligent model for sarcasm detection in social media text
Mayank Shrivastava, Shishir Kumar
Technology in Society (2020) Vol. 64, pp. 101489-101489
Closed Access | Times Cited: 39
A multi-dimensional relation model for dimensional sentiment analysis
Housheng Xie, Lin Wei, Shu-Ying Lin, et al.
Information Sciences (2021) Vol. 579, pp. 832-844
Open Access | Times Cited: 38
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
Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence
Muhamet Kastrati, Ali Shariq Imran, Ehtesham Hashmi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110136-110136
Open Access
Influence Assessment of Pornography-Related Cryptograms Based on ChatGPT-4o
Guancheng Chen, Yilei Wang, Yijun Yang, et al.
Highlights in Science Engineering and Technology (2025) Vol. 136, pp. 203-214
Closed Access
Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation.
Luis Chiruzzo, Santiago Castro, Mathías Etcheverry, et al.
IberLEF@SEPLN (2019), pp. 132-144
Closed Access | Times Cited: 38
XLM-T: A Multilingual Language Model Toolkit for Twitter.
Francesco Barbieri, Luis Espinosa-Anke, José Camacho-Collados
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 32
Hate speech operationalization: a preliminary examination of hate speech indicators and their structure
Jana Papcunová, Marcel Martončik, Denisa Fedáková, et al.
Complex & Intelligent Systems (2021) Vol. 9, Iss. 3, pp. 2827-2842
Open Access | Times Cited: 27
Automatic Sarcasm Detection: Systematic Literature Review
Alexandru-Costin Băroiu, Ştefan Trăuşan-Matu
Information (2022) Vol. 13, Iss. 8, pp. 399-399
Open Access | Times Cited: 19
Symbol tuning improves in-context learning in language models
Jerry Wei, Le Hou, Andrew K. Lampinen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 968-979
Open Access | Times Cited: 12
FALCoN: Detecting and classifying abusive language in social networks using context features and unlabeled data
Suppawong Tuarob, Manisa Satravisut, Pochara Sangtunchai, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103381-103381
Closed Access | Times Cited: 11
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
Juan Manuel Pérez, Mariela Rajngewerc, Juan Carlos Giudici, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 11
Enhancing sentiment analysis with distributional emotion embeddings
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Neurocomputing (2025), pp. 129822-129822
Open Access
LADCCL Model for Chinese Text Irony Detection
XiaoFan Qi
Lecture notes in electrical engineering (2025), pp. 254-270
Closed Access
Augmenting Emotion Features in Irony Detection with Large Language Modeling
Yu‐Cheng Lin, Yuhan Xia, Yunfei Long
Lecture notes in computer science (2025), pp. 196-206
Closed Access
Attention-based Conditioning Methods for External Knowledge Integration
Katerina Margatina, Christos Baziotis, Alexandros Potamianos
(2019)
Open Access | Times Cited: 34
WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony
Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.
(2018)
Open Access | Times Cited: 32
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification
Jeremy Barnes, Lilja Øvrelid, Erik Velldal
(2019), pp. 12-23
Open Access | Times Cited: 31

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