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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:

Arabic Sentiment Analysis of YouTube Comments: NLP-Based Machine Learning Approaches for Content Evaluation
Dhiaa Musleh, Ibrahim Alkhwaja, Ali Alkhwaja, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 127-127
Open Access | Times Cited: 23

Showing 23 citing articles:

Unveiling Sentiments: A Comprehensive Analysis of Arabic Hajj-Related Tweets from 2017–2022 Utilizing Advanced AI Models
Hanan M. Alghamdi
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 1, pp. 5-5
Open Access | Times Cited: 7
Decoding emotions: LSTM-based sentiment analysis for movie reviews and YouTube comments
Prashant K. Sharma, Sanjeev Gupta, Pankaj Gangwar, et al.
AIP conference proceedings (2025) Vol. 3224, pp. 020044-020044
Closed Access
Exploring the best fit: A comparative analysis of AFINN, Textblob, VADER, and Pattern on Arabic reviews for optimal dictionary extraction
Shakeel Ahmad, Sheikh Muhammad Saqib, Asif Hassan Syed, et al.
Mehran University Research Journal of Engineering and Technology (2025) Vol. 44, Iss. 2, pp. 197-216
Open Access
Role of YouTube in creating awareness of sustainable transportation: A Latent Dirichlet Allocation approach
Qamar Muneer, Muhammad Asif Khan
Sustainable Futures (2025) Vol. 9, pp. 100607-100607
Closed Access
Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis
Ivan Malashin, Igor Masich, В С Тынченко, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 68-68
Open Access | Times Cited: 2
A Machine Learning Approach to Cyberbullying Detection in Arabic Tweets
Dhiaa Musleh, Atta Rahman, Mohammed Abbas Alkherallah, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 1033-1054
Open Access | Times Cited: 2
A Comprehensive Review of Sentiment Analysis: Techniques, Datasets, Limitations, and Future Scope
Vanshika, Neetu Rani, Ranjan Walia
(2024), pp. 403-409
Closed Access | Times Cited: 2
Comparative Analysis of Machine Learning Algorithms for Detecting Fake News: Efficacy and Accuracy in the Modern Information Ecosystem
Gregorius Airlangga
Journal Of Computer Networks Architecture and High Performance Computing (2024) Vol. 6, Iss. 1, pp. 354-363
Open Access | Times Cited: 1
Unveiling Sentiments: A Deep Dive Into Sentiment Analysis for Low-Resource Languages—A Case Study on Hausa Texts
Harisu Abdullahi Shehu, Kaloma Usman Majikumna, Aminu Bashir Suleiman, et al.
IEEE Access (2024) Vol. 12, pp. 98900-98916
Open Access | Times Cited: 1
Enhancing Arabic Sentiment Analysis of Consumer Reviews: Machine Learning and Deep Learning Methods Based on NLP
Hani Almaqtari, Feng Zeng, Ammar Mohammed
Algorithms (2024) Vol. 17, Iss. 11, pp. 495-495
Open Access | Times Cited: 1
Artificial Intelligence and Sentiment Analysis in YouTube Comments: A Comprehensive Overview
Karnam Meghana
(2024), pp. 1565-1572
Closed Access
Rating Based on YouTube Comments
K M Poornima
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 03, pp. 1-5
Open Access
Leveraging spark-based machine learning algorithm for audience sentiment analysis in youtube content
K. Subha, N. Bharathi
Intelligent Data Analysis (2024), pp. 1-11
Closed Access
Sentiment Analysis of Presidential Candidate Debates from YouTube Videos
Ulima Inas Shabrina, Riyanarto Sarno, Ratih Anggraini, et al.
(2024), pp. 1-6
Closed Access
Sentiment Analysis with YouTube Comments Using Deep Learning Approaches
San San Maw, Ei Cherry Lwin, Win Mar, et al.
(2024), pp. 1-7
Closed Access
Arabic Spam Tweets Classification: A Comprehensive Machine Learning Approach
Wafa Hussain Hantom, Atta Rahman
AI (2024) Vol. 5, Iss. 3, pp. 1049-1065
Open Access
The use of social network sites in university extension projects: the case of the Geotecnologias na rede extension project
Alex Mota dos Santos, Carlos Fabrício Assunção da Silva, Maurício Farias Couto, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
A combined AraBERT and Voting Ensemble classifier model for Arabic sentiment analysis
Dhaou Ghoul, Jérémy Patrix, Gaël Lejeune, et al.
Natural Language Processing Journal (2024) Vol. 8, pp. 100100-100100
Open Access
Register of male and female Arabic language teachers on YouTube channels: A gender analysis in sociolinguistics
Muhammad Yunus Anis
Journal of Arab & Muslim Media Research (2024)
Closed Access
Evaluating Large Language Models for Arabic Sentiment Analysis: A Comparative Study Using Retrieval-Augmented Generation
Salma Khaled, Ensaf Hussein Mohamed, Walaa Medhat
Procedia Computer Science (2024) Vol. 244, pp. 363-370
Open Access
Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques
Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, et al.
Algorithms (2024) Vol. 17, Iss. 11, pp. 486-486
Open Access
“What is done and what is left to be done?” An investigation of YouTube as knowledge resource for Islamic endowment funds (cash waqf) in Indonesia
Martini Dwi Pusparini, Raditya Sukmana, Rodame Monitorir Napitupulu
Journal of Islamic marketing (2024)
Closed Access
A Fine Grained Sentiment Analysis of Arabic Language
Asim Tanveer, Mohibullah Khan, Rehan Sarwar, et al.
VAWKUM Transactions on Computer Sciences (2024) Vol. 12, Iss. 2, pp. 178-190
Open Access
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