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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:

Irony detection via sentiment-based transfer learning
Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, et al.
Information Processing & Management (2019) Vol. 56, Iss. 5, pp. 1633-1644
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

A Decade Survey of Transfer Learning (2010–2020)
Shuteng Niu, Yongxin Liu, Jian Wang, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 2, pp. 151-166
Open Access | Times Cited: 437
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, et al.
IEEE Transactions on Affective Computing (2020) Vol. 14, Iss. 1, pp. 108-132
Open Access | Times Cited: 185
Sentiment Analysis for Fake News Detection
Miguel Á. Alonso, David Vilares, Carlos Gómez‐Rodríguez, et al.
Electronics (2021) Vol. 10, Iss. 11, pp. 1348-1348
Open Access | Times Cited: 157
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection
Hao Liu, Runguo Wei, Geng Tu, et al.
Information Fusion (2024) Vol. 108, pp. 102353-102353
Closed Access | Times Cited: 16
Does the review deserve more helpfulness when its title resembles the content? Locating helpful reviews by text mining
Yusheng Zhou, Shuiqing Yang, Yixiao Li, et al.
Information Processing & Management (2019) Vol. 57, Iss. 2, pp. 102179-102179
Closed Access | Times Cited: 94
Potential analysis of the transfer learning model in short and medium-term forecasting of building HVAC energy consumption
Fanyue Qian, Weijun Gao, Yongwen Yang, et al.
Energy (2019) Vol. 193, pp. 116724-116724
Closed Access | Times Cited: 87
Affective and Contextual Embedding for Sarcasm Detection
Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 82
Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection
Zheng Lin Chia, Michał Ptaszyński, Fumito Masui, et al.
Information Processing & Management (2021) Vol. 58, Iss. 4, pp. 102600-102600
Open Access | Times Cited: 79
Detecting misogyny in Spanish tweets. An approach based on linguistics features and word embeddings
José Antonio Garcí­a-Dí­az, Mar Cánovas-García, Ricardo Colomo‐Palacios, et al.
Future Generation Computer Systems (2020) Vol. 114, pp. 506-518
Closed Access | Times Cited: 73
AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions
Sheetal Kusal, Shruti Patil, Jyoti Choudrie, et al.
IEEE Access (2022) Vol. 10, pp. 92337-92356
Open Access | Times Cited: 66
Visual Sentiment Analysis Using Deep Learning Models with Social Media Data
Ganesh Chandrasekaran, Naaji Antoanela, Gabor Andrei, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1030-1030
Open Access | Times Cited: 49
The unbearable hurtfulness of sarcasm
Simona Frenda, Alessandra Teresa Cignarella, Valerio Basile, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116398-116398
Open Access | Times Cited: 47
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
Aspect-level sentiment classification based on attention-BiLSTM model and transfer learning
Guixian Xu, Zixin Zhang, Ting Zhang, et al.
Knowledge-Based Systems (2022) Vol. 245, pp. 108586-108586
Closed Access | Times Cited: 42
An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network
Dharmendra Dangi, Sonal Telang Chandel, Dheeraj Kumar Dixit, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 119849-119849
Closed Access | Times Cited: 24
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
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
Three-way decisions based feature fusion for Chinese irony detection
Xiuyi Jia, Zhao Deng, Fan Min, et al.
International Journal of Approximate Reasoning (2019) Vol. 113, pp. 324-335
Open Access | Times Cited: 60
IDAT at FIRE2019
Bilal Ghanem, Jihen Karoui, Farah Benamara, et al.
(2019), pp. 10-13
Closed Access | Times Cited: 57
AI Based Emotion Detection for Textual Big Data: Techniques and Contribution
Sheetal Kusal, Shruti Patil, Ketan Kotecha, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 3, pp. 43-43
Open Access | Times Cited: 54
Sememe knowledge and auxiliary information enhanced approach for sarcasm detection
Zhiyuan Wen, Lin Gui, Qianlong Wang, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102883-102883
Closed Access | Times Cited: 36
Vector based sentiment and emotion analysis from text: A survey
Hande Aka Uymaz, Senem Kumova Metın
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104922-104922
Closed Access | Times Cited: 29
A Survey of Figurative Language and Its Computational Detection in Online Social Networks
Muhammad Abulaish, Ashraf Kamal, Mohammed J. Zaki
ACM Transactions on the Web (2020) Vol. 14, Iss. 1, pp. 1-52
Closed Access | Times Cited: 45
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
What makes a review a reliable rating in recommender systems?
Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
Information Processing & Management (2020) Vol. 57, Iss. 6, pp. 102304-102304
Closed Access | Times Cited: 42
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