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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 of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches
Bharati Ainapure, Reshma Pise, P Mahesh Reddy, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2573-2573
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Lexicon and Deep Learning-Based Approaches in Sentiment Analysis on Short Texts
Taminul Islam, Md. Alif Sheakh, Md Rezwane Sadik, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 01, pp. 11-34
Open Access | Times Cited: 10
Crafting clarity: Leveraging large language models to decode consumer reviews
Praveen SV, Pranshav Gajjar, Rajeev Kumar Ray, et al.
Journal of Retailing and Consumer Services (2024) Vol. 81, pp. 103975-103975
Closed Access | Times Cited: 6
MOODBYTBLB: Impact of Covid-19 Among Indians: A Sentiment Analysis Using Textblob
S. K. Neogi, Rahul Karmakar
Communications in computer and information science (2025), pp. 173-183
Closed Access
Sentiment analysis using osprey-optimized hybrid GoogleNet-ResNet with text and emoji data
P. Anitha, A.V. Praveen Krishna
Expert Systems with Applications (2025), pp. 127165-127165
Closed Access
Unpacking Online Discourse on Bioplastics: Insights from Reddit Sentiment Analysis
Bernardo Cruz, Aimilia Vaitsi, Samuel Domingos, et al.
Polymers (2025) Vol. 17, Iss. 6, pp. 823-823
Open Access
Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective
Andra Sandu, Liviu‐Adrian Cotfas, Camelia Delcea, et al.
Information (2023) Vol. 14, Iss. 12, pp. 659-659
Open Access | Times Cited: 14
Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model
Aisha Aldosery, Robert Carruthers, Karandeep Kay, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 4
Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets
Madiha Khalid, Ali Raza, Faizan Younas, et al.
IEEE Access (2024) Vol. 12, pp. 67117-67129
Open Access | Times Cited: 4
Sentiment Analysis Method of Epidemic-related Microblog Based on Hesitation Theory
Yang Yu, Dong Qiu, Huanyu Wan
ACM Transactions on Asian and Low-Resource Language Information Processing (2024) Vol. 23, Iss. 4, pp. 1-25
Closed Access | Times Cited: 3
Topic prediction for tobacco control based on COP9 tweets using machine learning techniques
Sherif Elmitwalli, John Mehegan, Georgie Wellock, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0298298-e0298298
Open Access | Times Cited: 3
From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework
Rajeev Kumar Ray, A.R. Singh
Journal of Retailing and Consumer Services (2024) Vol. 82, pp. 104059-104059
Closed Access | Times Cited: 3
Have a Nice Flight! Understanding the Interplay Between Topics and Emotions in Reviews of Luxury Airlines in the Pre- and Post-Covid-19 Periods
Masoud Shayganmehr, Indranil Bose
Information Systems Frontiers (2024)
Closed Access | Times Cited: 2
Machine Learning Approaches for COVID-19 Sentiment Analysis: Unveiling the Power of BERT
Shobhit Srivastava, Mrinal Kanti Sarkar, Chinmay Chakraborty
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2024)
Closed Access | Times Cited: 2
Comparing the accuracy of ANN with transformer models for sentiment analysis of tweets related to COVID-19 Pfizer vaccines
Xuanyi Wu, Bingkun Wang, Wenling Li
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115105-115105
Closed Access | Times Cited: 2
Emotions unveiled: detecting COVID-19 fake news on social media
Bahareh Farhoudinia, Selcen Öztürkcan, Nihat Kasap
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
The People Moods Analysing Using Tweets Data on Primary Things with the Help of Advanced Techniques
Sanjaikanth E Vadakkethil Somanathan Pillai, Rohith Vallabhaneni, Piyush Kumar Pareek, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
DIBTBL: A novel text sentiment analysis model based on an improved swarm intelligence algorithm and deep learning
Guangyu Mu, Dai Li, Xiurong Li, et al.
IEEE Access (2024) Vol. 12, pp. 158669-158684
Open Access | Times Cited: 1
A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data
V. Jothi Prakash, S. Arul Antran Vijay, S. Gopikrishnan, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11471-11471
Open Access | Times Cited: 1
Computational linguistics based text emotion analysis using enhanced beetle antenna search with deep learning during COVID-19 pandemic
Youseef Alotaibi, Arun Mozhi Selvi Sundarapandi, P. Subhashini, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1714-e1714
Open Access | Times Cited: 4
A Comprehensive Review of Text Sentiment Analysis: A Survey of Traditional Methods and Deep Learning Approaches
Ruichen Xi
Science and Technology of Engineering Chemistry and Environmental Protection (2024) Vol. 1, Iss. 5
Open Access | Times Cited: 1
Classification of Tweets using a Machine Learning and Natural Language Processing Algorithm for Disaster Prediction
Kanwarpartap Singh Gill, Vatsala Anand, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Leveraging machine learning and dimensionality reduction for sports and exercise sentiment analysis
Shobhit Srivastava, Chinmay Chakraborty, Mrinal Kanti Sarkar
Measurement Sensors (2024) Vol. 33, pp. 101182-101182
Open Access | Times Cited: 1
Arabic X(formerly Twitter) Sentiment Analysis using Skip grams method
Rasha M. Al‐Eidan
(2024)
Open Access | Times Cited: 1
Sentiment Analysis of Persian Political Tweets Using ParsBERT Embedding Model with Convolutional Neural Network
Mohammad Dehghani, Zahra Yazdanparast
(2023), pp. 20-25
Closed Access | Times Cited: 3
Modified Aquila Optimizer with Stacked Deep Learning-Based Sentiment Analysis of COVID-19 Tweets
Ahmed S. Almasoud, Hala J. Alshahrani, Abdulkhaleq Q. A. Hassan, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4125-4125
Open Access | Times Cited: 3
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