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:

BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
(2020)
Open Access | Times Cited: 664

Showing 1-25 of 664 citing articles:

AMMU: A survey of transformer-based biomedical pretrained language models
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha
Journal of Biomedical Informatics (2021) Vol. 126, pp. 103982-103982
Open Access | Times Cited: 187

TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 148

A systematic review of hate speech automatic detection using natural language processing
Md Saroar Jahan, Mourad Oussalah
Neurocomputing (2023) Vol. 546, pp. 126232-126232
Open Access | Times Cited: 126

A review on sentiment analysis from social media platforms
Margarita Rodríguez-Ibáñez, Antonio Casánez-Ventura, Félix Castejón-Mateos, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119862-119862
Open Access | Times Cited: 122

Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang, Yong Jiang, Nguyễn Bách, et al.
(2021)
Open Access | Times Cited: 118

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 112

Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell Gordon, Michelle S. Lam, Joon Sung Park, et al.
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-19
Open Access | Times Cited: 87

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
Alyssa Lees, Vinh Q. Tran, Yi Tay, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 3197-3207
Open Access | Times Cited: 84

A Literature Review of Textual Hate Speech Detection Methods and Datasets
Fatimah Alkomah, Xiaogang Ma
Information (2022) Vol. 13, Iss. 6, pp. 273-273
Open Access | Times Cited: 83

A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 5, pp. 1-25
Open Access | Times Cited: 64

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

End-to-End Transformer-Based Models in Textual-Based NLP
Abir Rahali, Moulay A. Akhloufi
AI (2023) Vol. 4, Iss. 1, pp. 54-110
Open Access | Times Cited: 56

Handling Bias in Toxic Speech Detection: A Survey
Tanmay Garg, Sarah Masud, Tharun Suresh, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-32
Open Access | Times Cited: 42

Optimization techniques for sentiment analysis based on LLM (GPT-3)
Tong Zhan, Chenxi Shi, Yadong Shi, et al.
Applied and Computational Engineering (2024) Vol. 67, Iss. 1, pp. 27-33
Open Access | Times Cited: 24

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, et al.
(2020), pp. 314-318
Open Access | Times Cited: 85

COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
Sree Jagadeesh Malla, Alphonse P.J.A.
Applied Soft Computing (2021) Vol. 107, pp. 107495-107495
Open Access | Times Cited: 77

SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense
J. A. Meaney, Steven R. Wilson, Luis Chiruzzo, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2021), pp. 105-119
Open Access | Times Cited: 70

TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, et al.
(2022)
Open Access | Times Cited: 60

Rumor Detection on Social Media with Graph Adversarial Contrastive Learning
Tiening Sun, Qian Zhong, Sujun Dong, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2789-2797
Closed Access | Times Cited: 59

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets
Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 40

Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 2253-2262
Closed Access | Times Cited: 38

A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data
Juan Antonio Lossio-Ventura, Rachel Weger, Angela Y. Lee, et al.
JMIR Mental Health (2023) Vol. 11, pp. e50150-e50150
Open Access | Times Cited: 28

TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Xinyang Zhang, Yury Malkov, Omar U. Florez, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5597-5607
Open Access | Times Cited: 26

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