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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-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2016)
Open Access | Times Cited: 594

Showing 1-25 of 594 citing articles:

A Survey on Deep Learning
Samira Pouyanfar, Saad Sadiq, Yilin Yan, et al.
ACM Computing Surveys (2018) Vol. 51, Iss. 5, pp. 1-36
Closed Access | Times Cited: 1163
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, Preslav Nakov
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2017)
Open Access | Times Cited: 841
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
(2020)
Open Access | Times Cited: 666
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis
Christos Baziotis, Nikos Pelekis, Christos Doulkeridis
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2017)
Open Access | Times Cited: 507
Using Convolutional Neural Networks to Classify Hate-Speech
Björn Gambäck, Utpal Kumar Sikdar
(2017)
Open Access | Times Cited: 495
A survey of multimodal sentiment analysis
Mohammad Soleymani, David García, Brendan Jou, et al.
Image and Vision Computing (2017) Vol. 65, pp. 3-14
Closed Access | Times Cited: 485
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
Erik Cambria, Yang Li, Frank Xing, et al.
(2020), pp. 105-114
Closed Access | Times Cited: 397
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
William L. Hamilton, Kevin Clark, Jure Leskovec, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2016)
Open Access | Times Cited: 361
Hate Me, Hate Me Not: Hate Speech Detection on Facebook.
Fabio Del Vigna, Andrea Cimino, Felice Dell’Orletta⋄, et al.
(2017), pp. 86-95
Closed Access | Times Cited: 298
SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281
The impact of sentiment and attention measures on stock market volatility
Francesco Audrino, Fabio Sigrist, Daniele Ballinari
International Journal of Forecasting (2019) Vol. 36, Iss. 2, pp. 334-357
Open Access | Times Cited: 240
CARER: Contextualized Affect Representations for Emotion Recognition
Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 228
An analysis of hierarchical text classification using word embeddings
Roger Stein, Patrícia A. Jaques, João Francisco Valiati
Information Sciences (2018) Vol. 471, pp. 216-232
Open Access | Times Cited: 218
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Despoina Antonakaki, Paraskevi Fragopoulou, Sotiris Ioannidis
Expert Systems with Applications (2020) Vol. 164, pp. 114006-114006
Closed Access | Times Cited: 210
Stance detection on social media: State of the art and trends
Abeer Aldayel, Walid Magdy
Information Processing & Management (2021) Vol. 58, Iss. 4, pp. 102597-102597
Open Access | Times Cited: 198
Transportation sentiment analysis using word embedding and ontology-based topic modeling
Farman Ali, Daehan Kwak, Pervez Khan, et al.
Knowledge-Based Systems (2019) Vol. 174, pp. 27-42
Closed Access | Times Cited: 165
Fuzzy rule based unsupervised sentiment analysis from social media posts
Srishti Vashishtha, Seba Susan
Expert Systems with Applications (2019) Vol. 138, pp. 112834-112834
Closed Access | Times Cited: 164
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis
Lei Wang, Jianwei Niu, Shui Yu
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 32, Iss. 10, pp. 2026-2039
Closed Access | Times Cited: 153
Neural Machine Reading Comprehension: Methods and Trends
Shanshan Liu, Xin Zhang, Sheng Zhang, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3698-3698
Open Access | Times Cited: 152
Twitter Sentiment Analysis Based on Ordinal Regression
Shihab Elbagir Saad, Jing Yang
IEEE Access (2019) Vol. 7, pp. 163677-163685
Open Access | Times Cited: 147
User reviews: Sentiment analysis using lexicon integrated two-channel CNN–LSTM​ family models
Wei Li, Luyao Zhu, Yong Shi, et al.
Applied Soft Computing (2020) Vol. 94, pp. 106435-106435
Closed Access | Times Cited: 144
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Zenun Kastrati, Ali Shariq Imran, Arianit Kurti
IEEE Access (2020) Vol. 8, pp. 106799-106810
Open Access | Times Cited: 144
COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter
Martin Müller, Marcel Salathé, Per Egil Kummervold
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 144
Sentiment analysis classification system using hybrid BERT models
Amira Samy Talaat
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 63
Sentiment analysis methods, applications, and challenges: A systematic literature review
Yanying Mao, Qun Liu, Yu Zhang
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 4, pp. 102048-102048
Open Access | Times Cited: 17
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