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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:

Sentiment analysis on twitter tweets about COVID-19 vaccines usi ng NLP and supervised KNN classification algorithm
F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Mubashir Imran, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2021) Vol. 23, Iss. 1, pp. 463-463
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset
Miftahul Qorib, Timothy Oladunni, Max Denis, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118715-118715
Open Access | Times Cited: 158
COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images
Shamima Akter, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, et al.
Biology (2021) Vol. 10, Iss. 11, pp. 1174-1174
Open Access | Times Cited: 131
Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries
D. Sunitha, Raj Kumar Patra, Nirmal Varghese Babu, et al.
Pattern Recognition Letters (2022) Vol. 158, pp. 164-170
Open Access | Times Cited: 67
Sentiment Analysis on Online Learning During the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method
Arif Ridho Lubis, Santi Prayudani, Muharman Lubis, et al.
(2022), pp. 106-111
Closed Access | Times Cited: 42
COVID-19 vaccine sentiment analysis using public opinions on Twitter
P. Chinnasamy, V. Suresh, K. Ramprathap, et al.
Materials Today Proceedings (2022) Vol. 64, pp. 448-451
Open Access | Times Cited: 32
Supervised machine learning based liver disease prediction approach with LASSO feature selection
Saima Afrin, F. M. Javed Mehedi Shamrat, Tafsirul Islam Nibir, et al.
Bulletin of Electrical Engineering and Informatics (2021) Vol. 10, Iss. 6, pp. 3369-3376
Open Access | Times Cited: 36
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection
Nirmalya Thakur, Chia Y. Han
COVID (2022) Vol. 2, Iss. 8, pp. 1026-1049
Open Access | Times Cited: 25
Sentiment analysis tracking of COVID-19 vaccine through tweets
Akila Sarirete
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 11, pp. 14661-14669
Open Access | Times Cited: 24
Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning
Seon Hong Lee, Haein Lee, Jang Hyun Kim
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 3, pp. 4983-4997
Open Access | Times Cited: 23
Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach
Amerah Alabrah, Husam M. Alawadh, Ofonime Dominic Okon, et al.
Mathematics (2022) Vol. 10, Iss. 3, pp. 467-467
Open Access | Times Cited: 20
COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets
Miftahul Qorib, Timothy Oladunni, Max Denis, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 10, pp. 5803-5803
Open Access | Times Cited: 11
EmoNet: Deep Attentional Recurrent CNN for X (formerly Twitter) Emotion Classification.
M. Jahangir Hossain, Md. Mithun Hossain, Md. Shakhawat Hossain, et al.
IEEE Access (2025) Vol. 13, pp. 37591-37610
Open Access
VADER vs. BERT: A Comparative Performance Analysis for Sentiment on Coronavirus Outbreak
Subrata Saha, Md. Imran Hossain Showrov, Md. Motinur Rahman, et al.
(2023), pp. 371-385
Closed Access | Times Cited: 10
XLM-RoBERTa Based Sentiment Analysis of Tweets on Metaverse and 6G
Akshat Gaurav, Brij B. Gupta, Sachin Sharma, et al.
Procedia Computer Science (2024) Vol. 238, pp. 902-907
Open Access | Times Cited: 3
TriLex: A fusion approach for unsupervised sentiment analysis of short texts
Abdulrahman Alharbi, Rafaa Aljurbua, Shelly Gupta, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0317100-e0317100
Open Access
Naïve-Bayes family for sentiment analysis during COVID-19 pandemic and classification tweets
Murtadha B. Ressan, Rehab F. Hassan
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 28, Iss. 1, pp. 375-375
Open Access | Times Cited: 16
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends
Wajdi Aljedaani, Eysha Saad, Furqan Rustam, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3199-3199
Open Access | Times Cited: 15
Analyzing Student Evaluations of Teaching in a Completely Online Environment
Nyme Ahmed, Dip Nandi, A. G. M. Zaman
International Journal of Modern Education and Computer Science (2022) Vol. 14, Iss. 6, pp. 13-24
Open Access | Times Cited: 15
The Effect of Class Imbalance Handling on Datasets Toward Classification Algorithm Performance
Cherfly Kaope, Yoga Pristyanto
Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer (2023) Vol. 22, Iss. 2, pp. 227-238
Open Access | Times Cited: 9
HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers
Ashish Bajaj, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106815-106815
Closed Access | Times Cited: 9
BiGRU-ANN based hybrid architecture for intensified classification tasks with explainable AI
Sovon Chakraborty, M. Talukder, Mohammad Mehadi Hasan, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4211-4221
Closed Access | Times Cited: 9
BERT: A Review of Applications in Sentiment Analysis
Md Shohel Sayeed, Varsha Mohan, Kalaiarasi Sonai Muthu
HighTech and Innovation Journal (2023) Vol. 4, Iss. 2, pp. 453-462
Open Access | Times Cited: 8
Sentiment Analysis of Public Acceptance of Covid-19 Vaccines Types in Indonesia using Naïve Bayes, Support Vector Machine, and Long Short-Term Memory (LSTM)
Dinar Ajeng Kristiyanti, Sri Hardani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2023) Vol. 7, Iss. 3, pp. 722-732
Open Access | Times Cited: 7
An Efficient Sentiment Analysis Model for Crime Articles’ Comments using a Fine-tuned BERT Deep Architecture and Pre-Processing Techniques
Sovon Chakraborty, Muhammad Borhan Uddin Talukdar, Portia Sikdar, et al.
Journal of Information Systems and Telecommunication (JIST) (2024) Vol. 12, Iss. 45, pp. 1-11
Closed Access | Times Cited: 2
Improving Sentiment Classification on Restaurant Reviews Using Deep Learning Models
Ratna Patil, Yadvendra Pratap Singh, Shitalkumar Adhar Rawandale, et al.
Procedia Computer Science (2024) Vol. 235, pp. 3246-3256
Open Access | Times Cited: 2
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