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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:

Twitter sentiment analysis: An Arabic text mining approach based on COVID-19
Saleh Albahli
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 11

Showing 11 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
Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learning
Nassera Habbat, Nouri Hicham, Houda Anoun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106999-106999
Closed Access | Times Cited: 17
Authorship Analysis in Chinese Social Media Texts
Shaomin Zhang
(2024)
Open Access | Times Cited: 6
Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media
Feipeng Guo, Zixiang Liu, Qibei Lu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e47508-e47508
Open Access | Times Cited: 5
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
Using AraGPT and ensemble deep learning model for sentiment analysis on Arabic imbalanced dataset
Nassera Habbat, Nouri Hicham, Houda Anoun, et al.
ITM Web of Conferences (2023) Vol. 52, pp. 02008-02008
Open Access | Times Cited: 6
Deep Fakes in Healthcare: How Deep Learning Can Help to Detect Forgeries
Alaa Alsaheel, Reem Alhassoun, Reema Alrashed, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 2, pp. 2461-2482
Open Access | Times Cited: 4
Year 2022 in Medical Natural Language Processing: Availability of Language Models as a Step in the Democratization of NLP in the Biomedical Area
Cyril Grouin, Natalia Grabar
Yearbook of Medical Informatics (2023) Vol. 32, Iss. 01, pp. 244-252
Open Access | Times Cited: 4
Perspective and review: how to develop our understanding of temporal changes in the relationship between people and the landscape under societal and climate change in Northeast Asia?
Shin Nagai, Taku M. Saitoh, Ayumi Kotani, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context
Joan Sebastián Rojas Rincón, Andrés Ricardo Riveros Tarazona, Andrés Mauricio Mejía Martínez, et al.
Social Sciences (2023) Vol. 12, Iss. 11, pp. 623-623
Open Access | Times Cited: 2
Improving emotion classification in e-commerce customer review analysis using GPT and meta‑ensemble deep learning technique for multilingual system
Nouri Hicham, Habbat Nassera
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 87323-87367
Closed Access
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