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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 tweets using refined neutrosophic sets
Ilanthenral Kandasamy, W. B. Vasantha, Jagan M. Obbineni, et al.
Computers in Industry (2019) Vol. 115, pp. 103180-103180
Closed Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Quantifying Opinion Strength: A Neutrosophic Inference System for Smart Sentiment Analysis of Social Media Network
Reem Essameldin, Ahmed A. Ismail, Saad M. Darwish
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7697-7697
Open Access | Times Cited: 4
Healthcare service provider type selection of the medical tourists by using neutrosophic sets
Saliha Karadayı-Usta, Erhan Bozdag
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 5, pp. 6475-6485
Closed Access | Times Cited: 5
An algorithmic multiple attribute decision-making context to model uncertainty associated with hospital site selection problem using complex sv-neutrosophic soft information
Khuram Ali Khan, Asghar Ali, Atiqe Ur Rahman, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access
Indonesian Digital Wallet Sentiment Analysis Using CNN And LSTM Method
Ananda Affan Fattahila, Fendi Irfan Amorokhman, Kaenova Mahendra Auditama, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 4
An Effective Framework for Sentiment Analysis Using RNN and LSTM-Based Deep Learning Approaches
Brajesh Kumar Shrivash, Dinesh Kumar Verma, Prateek Pandey
Communications in computer and information science (2023), pp. 340-350
Closed Access | Times Cited: 1
A Comparative Sentiment Analysis about HIV and AIDS on Twitter Tweets Using Supervised Machine Learning Approach
Jefferson A. Costales, Edelita M. Lorico, Christian M. De Los Santos
(2023), pp. 27-32
Closed Access | Times Cited: 1
Urban Collectives and insurgency to fight COVID-19: an analysis of social media content
Lara Sucupira Furtado, Lia Sucupira Furtado
Oculum Ensaios (2021) Vol. 18
Open Access | Times Cited: 3
A New Model for Emotions Analysis in Social Network Text Using Ensemble Learning and Deep learning
Umran Abdullah Haje, Mohammed Hussein Abdalla, Reben Mohammed Saleem Kurda, et al.
Academic Journal of Nawroz University (2022) Vol. 11, Iss. 1, pp. 130-140
Open Access | Times Cited: 2
Retracted: A Machine Learning Method for Detecting Sarcasm in Negative Sentiment Tweets using Hyperboles
V. Preetha, P. Sathishkumar, M. Janani, et al.
(2022) Vol. 5, pp. 1-5
Closed Access | Times Cited: 2
Understanding Brand Authenticity Sentiments using Big Data Analytics
Harmit Singh, Akanksha Yadav, Rishabh Bansal, et al.
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2021) Vol. 8, pp. 304-308
Closed Access | Times Cited: 2
Sentiment Analysis on Public Transportation During Covid-19: An Exploratory Study
Büşra Buran
Lecture notes in management and industrial engineering (2022), pp. 119-132
Closed Access | Times Cited: 1
Recurrent neural network based sentiment analysis of social media data during corona pandemic under national lockdown
Shana Jayachandran, Anveshini Dumala
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 2, pp. 2131-2146
Open Access | Times Cited: 1
The Study of Online Public Opinion Method Based on Emotional Analysis and CNN
Bo He, Xingsheng Jiang, Dali Tang, et al.
Journal of Computing and Electronic Information Management (2023) Vol. 11, Iss. 1, pp. 28-35
Open Access
Comparison of neutrosophic logic approach to various deep learning models for predictive analysis in recommender system
Sitikantha Mallik, Suneeta Mohanty, Bhabani Shankar Mishra
AIP conference proceedings (2023) Vol. 2909, pp. 020006-020006
Closed Access
Healthcare Service Provider Type Selection of the Medical Tourists by Using Neutrosophic Sets
Saliha Karadayı-Usta, Erhan Bozdag
Advances in intelligent systems and computing (2019), pp. 674-682
Closed Access
A NOVEL SECURITY FRAMEWORK FOR PREVENTING ATTACKS IN SENTIMENT ANALYSIS
V. Laxmi Narasamma, Sreedevi M.
Indian Journal of Computer Science and Engineering (2022) Vol. 13, Iss. 4, pp. 1331-1345
Open Access
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