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:

Enhancing Sentiment Analysis via Random Majority Under-Sampling with Reduced Time Complexity for Classifying Tweet Reviews
Saleh Naif Almuayqil, Mamoona Humayun, N. Z. Jhanjhi, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3624-3624
Open Access | Times Cited: 15

Showing 15 citing articles:

Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
Cici Suhaeni, Hwan-Seung Yong
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9766-9766
Open Access | Times Cited: 13

An optimised deep learning model with an Atrous convolutional-based inception system for the sentiment analysis of customer online reviews
V. Vaissnave, S. Selva Birunda, V Dharani, et al.
Journal of Engineering Design (2025), pp. 1-26
Closed Access

Comparative Analysis of Machine Learning Algorithms for Arabic Sentiment Analysis on Imbalanced Social Media Data
Basheer Almuhaya, Bishal Saha, Manbir Kaur, et al.
(2024), pp. 1362-1367
Closed Access | Times Cited: 3

Customers' sentiment on food delivery services: An Arabic text mining approach
Dheya Mustafa, Safaa M. Khabour, Ahmed S. Shatnawi
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100299-100299
Open Access | Times Cited: 1

Purchase Intention and Sentiment Analysis on Twitter Related to Social Commerce
Muhammad Alviazra Virgananda, Indra Budi, Kamrozi, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 7
Open Access | Times Cited: 3

Analyzing Trendy Twitter Hashtags in the 2022 French Election
Aamir Mandviwalla, Lake Yin, Bolesław K. Szymański
Studies in computational intelligence (2024), pp. 215-224
Closed Access

Learning Vector Quantization-Based Fuzzy Rules Oversampling Method
Jiqiang Chen, Ranran Han, Dongqing Zhang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 5067-5082
Open Access

Unveiling Cancer: A Data‐Driven Approach for Early Identification and Prediction Using F‐RUSRF Model
Ashir Javeed, Peter Anderberg, Muhammad Asim Saleem, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 6
Open Access

Towards the Future of Bot Detection: A Comprehensive Taxonomical Review and Challenges on Twitter/X
Danish Javed, N. Z. Jhanjhi, Navid Ali Khan, et al.
Computer Networks (2024), pp. 110808-110808
Closed Access

Sentiments Analysis Study for the Adaptation of Online Medical Forums
Zahriya Lawal Hassan, Abdulrashid Sani, Anas Tukur Balarabe
Asian Journal of Research in Computer Science (2023) Vol. 15, Iss. 3, pp. 24-33
Open Access

Analyzing Trendy Twitter Hashtags in the 2022 French Election
Aamir Mandviwalla, Lake Yin, Bolesław K. Szymański
arXiv (Cornell University) (2023)
Open Access

Analyzing the Efficacy of Bot Detection Methods on Twitter/X
Danish Javed, Noor Zaman, Navid Ali Khan, et al.
(2023)
Closed Access

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