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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 26-50 of 85 citing articles:

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
DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa
Sirigireddy Dhana Laxmi, Rohit Agarwal, Aman Sinha
(2020), pp. 409-413
Open Access | Times Cited: 6
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets
Nickil Maveli
(2020)
Open Access | Times Cited: 6
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models
Tin Van Huynh, Luan Thanh Luan, Son T. Luu
(2020), pp. 366-370
Open Access | Times Cited: 6
SocBERT: A Pretrained Model for Social Media Text
Yuting Guo, Abeed Sarker
(2023), pp. 45-52
Open Access | Times Cited: 2
Seeing Should Probably Not Be Believing: The Role of Deceptive Support in COVID-19 Misinformation on Twitter
Chaoyuan Zuo, Ritwik Banerjee, Fateme Hashemi Chaleshtori, et al.
Journal of Data and Information Quality (2022) Vol. 15, Iss. 1, pp. 1-26
Open Access | Times Cited: 4
UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network
Khiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 5
SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain
Linh Doan Bao, Viet Anh Nguyen, Quang Pham Huu
(2020), pp. 485-490
Open Access | Times Cited: 5
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative
Kumud Chauhan
(2020), pp. 440-443
Open Access | Times Cited: 5
Quantifying the Effects of COVID-19 on Restaurant Reviews
Ivy Cao, Zizhou Liu, Giannis Karamanolakis, et al.
(2021), pp. 36-60
Closed Access | Times Cited: 5
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features
Calum Perrio, Harish Tayyar Madabushi
(2020), pp. 352-358
Open Access | Times Cited: 4
CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models
Yandrapati Prakash Babu, R. Eswari
(2020), pp. 471-474
Open Access | Times Cited: 4
IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, et al.
(2020)
Open Access | Times Cited: 4
LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets
Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
(2020), pp. 444-449
Open Access | Times Cited: 4
TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
Anh Tuan Nguyen
(2020), pp. 319-323
Closed Access | Times Cited: 4
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
Dylan Whang, Soroush Vosoughi
(2020), pp. 480-484
Open Access | Times Cited: 4
Extracting a Knowledge Base of COVID-19 Events from Social Media
Shi Zong, Ashutosh Baheti, Wei Xu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter
Arjun Magge, Varad Pimpalkhute, Divya Rallapalli, et al.
(2020), pp. 378-382
Open Access | Times Cited: 3
DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks
Ayan Sengupta
(2020), pp. 371-377
Open Access | Times Cited: 3
A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media
Kok Kiang Long, Stephen Wai Hang Kwok, Jayne Kotz, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107232-107232
Open Access | Times Cited: 1
Multi-Task Learning Framework for Detecting Hashtag Hijack Attack in Mobile Social Networks
Zheng Qu, Chen Lyu, Chi‐Hung Chi
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (2022), pp. 90-98
Closed Access | Times Cited: 2
Соревнование RuNNE-2022: извлечение вложенных именованных сущностей
Е. Л. Артемова, М. В. Змеев, Н. В. Лукашевич, et al.
Computational Linguistics and Intellectual Technologies (2022), pp. 33-41
Open Access | Times Cited: 2
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets
Nickil Maveli
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative
Kumud Chauhan
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training
Priyanshu Kumar, Aadarsh Singh
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2

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