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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:

Exploring the Performance of Ensemble Machine Learning Classifiers for Sentiment Analysis of COVID-19 Tweets
Md. Mahbubar Rahman, Muhammad Nazrul Islam
Advances in intelligent systems and computing (2021), pp. 383-396
Closed Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

Hate Speech Detection in Code-Mixed Datasets Using Pretrained Embeddings and Transformers
Tooba Sohail, Atiqa Aiman, Ehtesham Hashmi, et al.
(2024), pp. 1-6
Closed Access
Development of a Predictive Analytic System for Chronic Kidney Disease using Ensemble-based Machine Learning
Zobair Hasan, Rafiur Rahman Khan, Wazed Rifat, et al.
(2021)
Closed Access | Times Cited: 4
Analysis of Public Discourse on Twitter involving COVID-19 and MPox: Findings from Sentiment Analysis and Text Analysis
Nirmalya Thakur
(2023)
Open Access | Times Cited: 1
Sentiment Analysis on Large-Scale Covid-19 Tweets using Hybrid Convolutional LSTM Based on Naïve Bayes Sentiment Modeling
Arunava Kumar Chakraborty, Dipankar Das, Anup Kumar Kolya
ECTI Transactions on Computer and Information Technology (ECTI-CIT) (2023) Vol. 17, Iss. 3, pp. 343-357
Open Access | Times Cited: 1
Using Natural Language Processing Techniques to Assess the Attitudes of Nursing Students During the COVID-19 Pandemic
Emine Ela Küçük, Dilek Küçük
Advances in computational intelligence and robotics book series (2022), pp. 1-20
Closed Access | Times Cited: 1
Social Media Sentiment Analysis Classification Leveraging Hybrid Deep Learning Methods

(2023)
Open Access
A Study of Vietnamese Sentiment Classification with Ensemble Pre-trained Language Models
Dang Van Thin, Duong Ngoc Hao, Ngan Luu-Thuy Nguyen
Vietnam Journal of Computer Science (2023) Vol. 11, Iss. 01, pp. 137-165
Open Access
Twitter Sentiment Analysis using Ensemble Based Deep Learning Techniques for Analyzing COVID-19 Tweets
Bura Vijay Kumar, K. M. Monica, S. Prabhakar, et al.
(2023), pp. 1-6
Closed Access
Location-Based Sentiment Analysis using Bayesian Networks on COVID-19 Twitter Data
M. Caruso
(2023)
Open Access
Depression Analysis of Real Time Tweets During Covid Pandemic
G. B. Gour, Vandana S. Savantanavar, Yashoda, et al.
Smart innovation, systems and technologies (2022), pp. 55-73
Closed Access
Intelligent Sentiment Analysis On Cellphone Checking By Police Officer
Barep Prasetyo, Yaya Sudarya Triana, Rahmat Budiarto, et al.
(2022), pp. 167-172
Closed Access
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