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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:

Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
Niklas Braig, Alina Benz, Soeren Voth, et al.
IEEE Access (2023) Vol. 11, pp. 14778-14803
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis
Smitha Nayak, Savita Savita, Yogesh Kumar Sharma
Decision Analytics Journal (2023) Vol. 8, pp. 100289-100289
Open Access | Times Cited: 27
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
Sem-AI: A Unique Framework for Sentiment Analysis and Opinion Mining Using Social Network Data
J. Maruthupandi, S. Sivakumar, Vinay Kumar, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Optimizing chatbot responsiveness: Automated history context selector via three-way decision for multi-turn dialogue Large Language Models
Weicheng Wang, Xiaoliang Chen, Duoqian Miao, et al.
Engineering Analysis with Boundary Elements (2025) Vol. 173, pp. 106150-106150
Closed Access
Review on Sentiment Analysis of Tweets Using Machine Learning Techniques: A Data Science Perspective
Praful Sambhare, Niraj Narayan Uttarwar, P. Vaidya, et al.
Lecture notes in networks and systems (2025), pp. 495-512
Closed Access
Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public
Sotirios Gyftopoulos, George Drosatos, Giuseppe Fico, et al.
Behavioral Sciences (2024) Vol. 14, Iss. 2, pp. 128-128
Open Access | Times Cited: 4
A review of deep learning techniques for disaster management in social media: trends and challenges
T. Pavani, Sree Jagadeesh Malla
The European Physical Journal Special Topics (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
Measuring the evolution of social hope since the outbreak of COVID 19 in Iran with a case study of Persian Twitter based on computational social science
Mohammad Ali Dadgostarnia, Abdolhossein Kalantari, Barbara Myślik
Iran Journal of Computer Science (2024) Vol. 7, Iss. 2, pp. 203-216
Closed Access | Times Cited: 1
Evaluation of adjective and adverb types for effective Twitter sentiment classification
Syed Fahad Ali, Nayyer Masood
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302423-e0302423
Open Access | Times Cited: 1
A Review on Sentiment Analysis Methodologies, Practices and Applications with Machine Learning
Rupa Koli, Suraj Shivaji Redekar -
International Journal of Computer Science and Mobile Computing (2023) Vol. 12, Iss. 6, pp. 64-70
Open Access | Times Cited: 3
Exploring Emerging Depression Symptomatology Through Social Media Text Mining
Harshita Chourasia, Praveen Kumar Mannepalli
Advances in computational intelligence and robotics book series (2024), pp. 167-195
Closed Access
A Systematic Review of Social Media Mining: Twitter Sentiments Comparison
Riya Sharma, Mir Junaid Rasool, Komal Arora
SSRN Electronic Journal (2024)
Closed Access
Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During Covid
Vidushi Mishra, Akash Rajak, Rabi N. Panda, et al.
(2024), pp. 298-302
Closed Access
Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During COVID
Vidushi Mishra, Anshika Jain, Ajay Kumar Shrivastava, et al.
Lecture notes in networks and systems (2024), pp. 558-569
Closed Access
Aspect-based Sentiment Analysis (ABSA) using Machine Learning Algorithms
Ayesha Siddiqua, V Bindumathi, Ganesh Raghu, et al.
(2024) Vol. 10, pp. 1-6
Closed Access
Leveraging BiLSTM and LDA for Analyzing and Dashboarding User Feedback in Applications
Siti Mutmainah, Dhomas Hatta Fudholi
JURNAL MEDIA INFORMATIKA BUDIDARMA (2024) Vol. 8, Iss. 1, pp. 51-51
Open Access
Sentiment Analysis Based on Machine Learning Techniques: A Comprehensive Review
Ari Ibrahim Hamid, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access
AI-Infused Business Strategies
Munir Ahmad, MD Rokibul Hasan, Yuusuf Jamiu Olushola, et al.
Advances in business strategy and competitive advantage book series (2024), pp. 101-118
Closed Access
A dataset of the 2023 presidential election in Nigeria
Adenike Tosin Odegbile, Olufemi Moses Oyelami
Data in Brief (2024) Vol. 57, pp. 110847-110847
Open Access
Unraveling COVID-19 Sentiments on Twitter: In-Depth Analysis with LSTM and BART
Fiza Khan, Fatima Zahra El Ansari, Jaasira Ansari, et al.
Lecture notes in networks and systems (2024), pp. 543-553
Closed Access
Machine learning and game theory for cyber governance: Enhancing public opinion and regional sustainable development
Pengxia Song, Wiseong Jin, Shaowei Chen, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0308317-e0308317
Open Access
A Sentiment Analysis of Tweets by Using TF-IDF Vectorizer and Lemmatization with POS Tagging
Prashanth Saripilli, G. L. Aruna Kumari, Chandra Sekhar Vannemreddy, et al.
Springer proceedings in mathematics & statistics (2024), pp. 377-386
Closed Access
BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis
Et al. D Muthusankar
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 10, pp. 927-937
Open Access | Times Cited: 1
Enhancing E-Commerce Insights: Sentiment Analysis Using Machine Learning and Ensemble Techniques
Shubham Shedekar, Sahil K. Shah, Vidya Kumbhar
(2023), pp. 1-7
Closed Access | Times Cited: 1
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