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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:

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, et al.
(2018), pp. 525-530
Open Access | Times Cited: 25

Showing 25 citing articles:

SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281
A new direction in social network analysis: Online social network analysis problems and applications
Ümit Can, Bilal Alataş
Physica A Statistical Mechanics and its Applications (2019) Vol. 535, pp. 122372-122372
Closed Access | Times Cited: 168
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter
José Ángel González, Lluís-F. Hurtado, Ferran Plà
Information Processing & Management (2020) Vol. 57, Iss. 4, pp. 102262-102262
Closed Access | Times Cited: 61
Incorporating Emoji Descriptions Improves Tweet Classification
Abhishek Singh, Eduardo Blanco, Wei Jin
(2019)
Open Access | Times Cited: 60
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task
Xuan-Son Vu, Thanh Vu, Son N. Tran, et al.
(2019), pp. 1285-1294
Open Access | Times Cited: 24
Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews
Danilo Dessı̀, Mauro Dragoni, Gianni Fenu, et al.
Algorithms for intelligent systems (2020), pp. 57-83
Closed Access | Times Cited: 21
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
A Method for Detecting and Analyzing the Sentiment of Tweets Containing Fuzzy Sentiment Phrases
Huyen Trang Phan, Ngoc Thanh Nguyên, Cuong Tran, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 15
Decision-Making Support Method Based on Sentiment Analysis of Objects and Binary Decision Tree Mining
Huyen Trang Phan, Cuong Tran, Ngoc Thanh Nguyên, et al.
Lecture notes in computer science (2019), pp. 753-767
Closed Access | Times Cited: 11
Self-adaptive Privacy Concern Detection for User-Generated Content
Xuan-Son Vu, Lili Jiang
Lecture notes in computer science (2023), pp. 153-167
Closed Access | Times Cited: 3
Irony Detection Using Transformers
Abhishek Agrawal, Abhishek Jha, Ashish Jaiswal, et al.
(2020)
Closed Access | Times Cited: 6
Ensemble-based domain adaptation on social media posts for irony detection
Anita Saroj, Sukomal Pal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23249-23268
Closed Access | Times Cited: 2
Generative Pre-trained Transformer (GPT) Models for Irony Detection and Classification
Mustafa Aytekin, O. Ayhan Erdem
(2023) Vol. 108, pp. 1-8
Closed Access | Times Cited: 2
Identifying patients with pain in emergency departments using conventional machine learning and deep learning
Thanh Vu, Anthony Nguyen, Nathan J. Brown, et al.
(2019), pp. 111-119
Closed Access | Times Cited: 5
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 4
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification
Diksha Krishnan, Jerin Mahibha C, D. Thenmozhi
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 827-833
Open Access | Times Cited: 3
Harnessing Ensemble of Data Preprocessing and Hand-crafted Features for Irony Detection in Tweets
Fareen Tasneem, Jannatun Naim, Abu Nowshed Chy
(2020), pp. 1-6
Closed Access | Times Cited: 3
Contextualized Embedding based Approaches for Social Media-specific Sentiment Analysis
Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 186-193
Closed Access | Times Cited: 2
Analysis of Complex Data Sets using Multilayer Networks: A Decoupling-based Framework
Abhishek Santra
(2020)
Closed Access | Times Cited: 1
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
Weicheng Ma, Ruibo Liu, Lili Wang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Attention-based Approaches for Text Analytics in Social Media and Automatic Summarization
José Ángel González Barba
(2021)
Open Access | Times Cited: 1
A Study of Compressed Language Models in Social Media Domain
Linrui Zhang, Belinda Copus
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023) Vol. 36
Open Access
Privacy-awareness in the era of Big Data and machine learning
Xuan-Son Vu
(2019)
Closed Access
Fusion of Hand-crafted Features and Deep Semantic Features in a Unified Neural Model for Irony Detection in Microblogs
Sakifa Shah, Abu Nowshed Chy
(2020) Vol. 12, pp. 1-6
Closed Access
Isn’t It Ironic, Don’t You Think?
Saichethan Miriyala Reddy, Swati Agarwal
Lecture notes in computer science (2021), pp. 526-536
Closed Access
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