Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques
Mina Ramzy, Bahaa Ibrahim
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103644-103644
Closed Access | Times Cited: 12

Showing 12 citing articles:

New energy vehicles sales forecasting using machine learning: The role of media sentiment
Jin Shao, Jingke Hong, Meiping Wang, et al.
Computers & Industrial Engineering (2025) Vol. 201, pp. 110928-110928
Closed Access
A hybrid machine learning model for sentiment analysis and satisfaction assessment with Turkish universities using Twitter data
Abdulfattah E. Ba Alawi, Ferhat Bozkurt
Decision Analytics Journal (2024) Vol. 11, pp. 100473-100473
Open Access | Times Cited: 2
An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets
Guangyu Mu, Jiaxue Li, Xiurong Li, et al.
Biomimetics (2024) Vol. 9, Iss. 9, pp. 533-533
Open Access | Times Cited: 2
CNN and LSTM based hybrid deep learning model for sentiment analysis on Arabic text reviews
Shakeel Ahmad, Sheikh Muhammad Saqib, Asif Hassan
Mehran University Research Journal of Engineering and Technology (2024) Vol. 43, Iss. 2, pp. 183-183
Open Access | Times Cited: 1
From Customer’s Voice to Decision-Maker Insights: Textual Analysis Framework for Arabic Reviews of Saudi Arabia’s Super App
Bodoor Alrayani, Manal Kalkatawi, Maysoon Abulkhair, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 6952-6952
Open Access | Times Cited: 1
Predictive model for customer satisfaction analytics in E-commerce sector using machine learning and deep learning
Hoanh-Su Le, Thao-Vy Huynh, Minh Nguyen, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100295-100295
Closed Access
Analysis of user experience in low-resource languages: A case study of the Uzbek language Google Play reviews
Aizihaierjiang Yusufu, Abidan Ainiwaer, Bobo Li, et al.
Information Processing & Management (2024) Vol. 62, Iss. 3, pp. 104015-104015
Closed Access
Arabic App Reviews: Analysis and Classification
Othman Aljeezani, Dorieh M. Alomari, Irfan Ahmad
ACM Transactions on Asian and Low-Resource Language Information Processing (2024)
Closed Access
Harnessing Social Media Data for Sentiment Analysis of Tourist Attractions in Trat Province, Thailand using the Random Forest Machine Learning Approach
Narong Pleerux, Phannipha Anuruksakornkul, Paradorn Boonpor, et al.
DESIGN CONSTRUCTION MAINTENANCE (2024) Vol. 4, pp. 216-221
Open Access
Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis
Mina Ramzy
Aslib Journal of Information Management (2024)
Closed Access
Integrating Optimal Deep Learning with Natural Language Processing for Arabic Spam and Ham Tweets Recognition
Najla I. Al-Shathry, MOHAMMED ALGHAMDI, ABDULLAH SAAD AL-DOBAIAN, et al.
Fractals (2024) Vol. 32, Iss. 09n10
Closed Access
A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5
Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
Page 1

Scroll to top