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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:

Combination of GRU and CNN Deep Learning Models for Sentiment Analysis on French Customer Reviews Using XLNet Model
Nassera Habbat, Houda Anoun, Larbi Hassouni
IEEE Engineering Management Review (2022) Vol. 51, Iss. 1, pp. 41-51
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Higher education assessment practice in the era of generative AI tools
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao, et al.
Journal of Applied Learning & Teaching (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Comprehensive review and comparative analysis of transformer models in sentiment analysis
Hadis Bashiri, Hassan Naderi
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 9
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: 18
Transformer technology in molecular science
Jiang Jian, Ke Lü, Long Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 6
Consumer Product Recommendation System Using Adapted PSO With Federated Learning Method
Ganesh Gopal Devarajan, Senthil Murugan Nagarajan, A. Daniel, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2708-2715
Closed Access | Times Cited: 13
RegGRU-Opt: A Robust GRU-Based RNN Model for High-Performance Sentiment Analysis and Binary Classification
Aashita Chhabra, Mansaf Alam
Arabian Journal for Science and Engineering (2025)
Closed Access
BiGRU-ANN based hybrid architecture for intensified classification tasks with explainable AI
Sovon Chakraborty, M. Talukder, Mohammad Mehadi Hasan, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4211-4221
Closed Access | Times Cited: 9
Sentiment Analysis using Deep Learning: A Domain Independent Approach
Mohammad Qamar, Hamnah Rao, Sheikh Afaan Farooq, et al.
(2023), pp. 1373-1380
Closed Access | Times Cited: 8
Enhancing Arabic Sentiment Analysis in E-Commerce Reviews on Social Media Through a Stacked Ensemble Deep Learning Approach
Nouri Hicham, Sabri Karim, Nassera Habbat
Mathematical Modelling and Engineering Problems (2023) Vol. 10, Iss. 3, pp. 790-798
Open Access | Times Cited: 8
Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia
Nilufa Afrin, Farhad Ahamed, Ataur Rahman
Natural Hazards (2024) Vol. 120, Iss. 12, pp. 11349-11376
Open Access | Times Cited: 2
Advancements and Challenges in Gated Recurrent Units (GRU) for Text Classification: A Systematic Literature Review
Muhammad Fairuzabadi, Kusrini Kusrini, Ema Utami, et al.
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2024), pp. 1-7
Closed Access | Times Cited: 2
An efficient approach for improving customer Sentiment Analysis in the Arabic language using an Ensemble machine learning technique
Nouri Hicham, Sabri Karim, Nassera Habbat
(2022)
Closed Access | Times Cited: 9
A Comprehensive Review of Text Sentiment Analysis: A Survey of Traditional Methods and Deep Learning Approaches
Ruichen Xi
Science and Technology of Engineering Chemistry and Environmental Protection (2024) Vol. 1, Iss. 5
Open Access | Times Cited: 1
IDEAL: an inventive optimized deep ensemble augmented learning framework for opinion mining and sentiment analysis
Aditya Mudigonda, Yalavarthi Usha Devi, P. Satyanarayana, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
ASIF: attention-based sentiment inquiry framework for profound product recommendations
Asif Nawaz
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Generating images using generative adversarial networks based on text descriptions
Marzhan Turarova, B. de la Roza, Лаззат Абдыкеримова, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 2014-2014
Open Access
BiGRU-Attention Sentiment Analysis for Enhancing Task-Oriented Chatbots
Nguyen Thi Mai Trang, Nguyễn Ngọc Hưng
(2024), pp. 476-483
Closed Access
A Comparative Study of Movie Review Segregation Using Sentiment Analysis
Bharathi Mohan G, Prasanna Kumar R, Yamani Kakarla, et al.
(2024), pp. 1-6
Closed Access
A Student Sentiment Analysis Method Based on Multimodal Deep Learning
LIDAN KONG, Jian Yao, Jin‐Song Shen, et al.
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 09
Closed Access
Sentiment Analysis: Concepts, Methods, and Applications
Ravi Shankar Jha, Dinesh Kumar Saini, Punit Gupta
Smart innovation, systems and technologies (2024), pp. 359-370
Closed Access
Fusing Image and Text Features for Scene Sentiment Analysis Using Whale-Honey Badger Optimization Algorithm (WHBOA)
Prem Shanker Yadav, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Lecture notes in computer science (2024), pp. 446-462
Closed Access
Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter
Teuku Radillah, Okta Veza, Sarjon Defit
Jurnal Teknologi Informasi dan Ilmu Komputer (2024) Vol. 11, Iss. 6, pp. 1371-1376
Open Access
Systematic Literature Review: Analisis Sentimen Berbasis Deep Learning
Fitroh Fitroh, Fahmi Hudaya
Jurnal Nasional Teknologi dan Sistem Informasi (2023) Vol. 9, Iss. 2, pp. 132-140
Open Access | Times Cited: 1
BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis
Et al. D Muthusankar
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 10, pp. 927-937
Open Access | Times Cited: 1
A Review of Trends and Challenges in Adopting AI Models Through Cross-Lingual Transfer Learning Via Sentiment Analysis
Wael Jefry, Firas Al-Doghman, Farookh Khadeer Hussain
(2023)
Closed Access
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