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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.

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Showing 20 citing articles:

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
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
Classification aware neural topic model for COVID-19 disinformation categorisation
Xingyi Song, Johann Petrak, Ye Jiang, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0247086-e0247086
Open Access | Times Cited: 52
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany
(2021)
Open Access | Times Cited: 43
Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
Akansha Gautam, V. Venktesh, Sarah Masud
Communications in computer and information science (2021), pp. 189-200
Closed Access | Times Cited: 37
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
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
Sree Jagadeesh Malla, Kranthi Kumar Lella, P. J. A. Alphonse
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102627-102627
Closed Access | Times Cited: 6
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
A BERTweet-based design for monitoring behaviour change based on five doors theory on coral bleaching campaign
Gabriela Nathania Harywanto, Juan Sebastian Veron, Derwin Suhartono
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 5
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascălu
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2021), pp. 225-232
Open Access | Times Cited: 2
Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets
Benjamin Olsen, Barbara Plank
(2021), pp. 11-19
Open Access | Times Cited: 2
WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, et al.
arXiv (Cornell University) (2020)
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
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Exploiting Diverse Contextual Features through Transformers for Detecting Informative Tweets
Abu Nowhash Chowdhury, Shawon Guha, Nurul Ridho Al Amin, et al.
2022 International Conference on Innovations in Science, Engineering and Technology (ICISET) (2022), pp. 350-355
Closed Access | Times Cited: 1
Exploiting Ensemble of Transformer Models for Detecting Informative Tweets
Abu Nowhash Chowdhury, Shawon Guha, Nurul Ridho Al Amin, et al.
2021 IEEE 18th India Council International Conference (INDICON) (2021), pp. 1-6
Closed Access | Times Cited: 1
Predicting COVID-19 Related Tweets Using Ensemble of Transformers Models
Qusai Ismail, Mariam Massadeh, Qanita Bani Baker
(2022)
Closed Access
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection.
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascălu
arXiv (Cornell University) (2021)
Closed Access
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