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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:

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

Showing 1-25 of 85 citing articles:

BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
(2020)
Open Access | Times Cited: 664
Deep Learning applications for COVID-19
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 304
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
Deep Learning for Economists
Melissa Dell
Journal of Economic Literature (2025) Vol. 63, Iss. 1, pp. 5-58
Closed Access | Times Cited: 1
Position-context additive transformer-based model for classifying text data on social media
Mohammad Abdelaziz, Nora El-Rashidy, Ahmed Abou Elfetouh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
Anna Glazkova, Maksim Glazkov, Timofey Trifonov
Communications in computer and information science (2021), pp. 116-127
Open Access | Times Cited: 55
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany
(2021)
Open Access | Times Cited: 42
COVID-19 personal health mention detection from tweets using dual convolutional neural network
Linkai Luo, Yue Wang, Hai Liu
Expert Systems with Applications (2022) Vol. 200, pp. 117139-117139
Open Access | Times Cited: 25
COVID-19 Named Entity Recognition for Vietnamese
Thinh Hung Truong, Mai Hoang Dao, Dat Quoc Nguyen
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 2146-2153
Open Access | Times Cited: 27
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 31
Towards a Better Understanding of Noise in Natural Language Processing
Khetam Al Sharou, Zhenhao Li, Lucia Specia
(2021), pp. 53-62
Open Access | Times Cited: 24
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification
Yuting Guo, Yao Ge, Yuan-Chi Yang, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1478-1478
Open Access | Times Cited: 14
InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction
Hansi Hettiarachchi, Tharindu Ranasinghe
(2020), pp. 359-365
Open Access | Times Cited: 23
NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training
Priyanshu Kumar, Aadarsh Singh
(2020), pp. 404-408
Open Access | Times Cited: 20
NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets
Anders Giovanni Møller, Rob van der Goot, Barbara Plank
(2020), pp. 331-336
Open Access | Times Cited: 19
Identifying informative tweets during a pandemic via a topic-aware neural language model
Wang Gao, Lin Li, Xiaohui Tao, et al.
World Wide Web (2022) Vol. 26, Iss. 1, pp. 55-70
Open Access | Times Cited: 10
An improved machine learning technique for identify informative COVID-19 tweets
Sree Jagadeesh Malla, P. J. A. Alphonse
International Journal of Systems Assurance Engineering and Management (2022)
Open Access | Times Cited: 8
Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model
Linkai Luo, Yue Wang, Daniel Y. Mo
IEEE Access (2022) Vol. 10, pp. 59068-59077
Open Access | Times Cited: 8
Identifying COVID-19 english informative tweets using limited labelled data
Srinivasulu Kothuru, A. Santhanavijayan
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Classifying informative tweets using feature enhanced pre-trained language model
Prakash Babu Yandrapati, R. Eswari
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets
Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, et al.
(2020), pp. 86-91
Closed Access | Times Cited: 11
Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting
Anshul Wadhawan
(2020), pp. 347-351
Open Access | Times Cited: 10
Comparing Topic Modeling Techniques for Identifying Informative and Uninformative Content: A Case Study on COVID-19 Tweets
Qaisar Khan, Hui Na Chua
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (2021)
Closed Access | Times Cited: 9
NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets
M. S. Jagadeesh, P. J. A. Alphonse
(2020), pp. 450-454
Open Access | Times Cited: 8
Can Multilingual Transformers Fight the COVID-19 Infodemic?
Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi
(2021), pp. 1432-1437
Open Access | Times Cited: 8
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