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:

Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages
Pınar Savcı, Bihter Daş
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 3, pp. 227-237
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Multimodal Emotion Recognition Using Bi-LG-GCN for MELD Dataset
Hussein Farooq Tayeb Al-Saadawi, Resul Daş
Balkan Journal of Electrical and Computer Engineering (2024) Vol. 12, Iss. 1, pp. 36-46
Open Access | Times Cited: 9

TER-CA-WGNN: Trimodel Emotion Recognition Using Cumulative Attribute-Weighted Graph Neural Network
Hussein Farooq Tayeb Al-Saadawi, Resul Daş
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2252-2252
Open Access | Times Cited: 7

CoreNLP dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis
Makera Moayad Aziz, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 4, pp. 102035-102035
Open Access | Times Cited: 7

A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis
Hussein Farooq Tayeb Al-Saadawi, Bihter Daş, Resul Daş
Expert Systems with Applications (2024) Vol. 255, pp. 124852-124852
Closed Access | Times Cited: 6

Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysis, Systematic Literature Review, Challenges and Future Works
Alfredo Daza Vergaray, Néstor Daniel González Rueda, Mirelly Sonia Aguilar Sánchez, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100267-100267
Open Access | Times Cited: 4

A novel system for strengthening security in large language models against hallucination and injection attacks with effective strategies
Tunahan Gokcimen, Bihter Daş
Alexandria Engineering Journal (2025) Vol. 123, pp. 71-90
Closed Access

Text Mining Based Approach for Customer Sentiment and Product Competitiveness Using Composite Online Review Data
Zhanming Wen, Yanjun Chen, Hongwei Liu, et al.
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 3, pp. 1776-1792
Open Access | Times Cited: 2

Hyper-tuned Swarm Intelligence Machine Learning-based Sentiment Analysis of Social Media
Nitesh Sureja, Nandini Chaudhari, Priyanka Patel, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15415-15421
Open Access | Times Cited: 2

TAC-Trimodal Affective Computing: Principles, integration process, affective detection, challenges, and solutions
Hussein Farooq Tayeb Al-Saadawi, Bihter Daş, Resul Daş
Displays (2024) Vol. 83, pp. 102731-102731
Closed Access | Times Cited: 1

Topic Modelling Using BERTopic for Robust Spam Detection
Tunahan Gökçimen, Bihter Daş
(2024), pp. 1-5
Closed Access | Times Cited: 1

How Do Students Feel in Online Learning Platforms? How They Tell It: How Does Artificial Intelligence Make a Difference?
Bihter Daş, Müzeyyen Bulut Özek, Oğuzhan Özdemir
Sakarya University Journal of Education (2024) Vol. 14, Iss. Special Issue-AI in Education, pp. 250-267
Open Access | Times Cited: 1

Themes and sentiments in conversations about food waste on Twitter: Proposal of a framework using neural topic modeling
Marcelo Werneck Barbosa, A. M. Gomes
Food Quality and Preference (2024) Vol. 122, pp. 105311-105311
Closed 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 | Times Cited: 1

A Fuzzy Synthetic Evaluation Approach to Assess Usefulness of Tourism Reviews by Considering Bias Identified in Sentiments and Articulacy
Dimitrios K. Kardaras, Christos Troussas, Stavroula Barbounaki, et al.
Information (2024) Vol. 15, Iss. 4, pp. 236-236
Open Access

Sentiment Analysis of X Users on Iconnet Service Provider Using Naïve Bayes and Support Vector Machine
Hani Handayani, Rice Novita, Inggih Permana, et al.
(2024), pp. 1-6
Closed Access

Comparison of Pretrained Models for Optimized Transformer Based Question Answering System
Tunahan Gökçimen, Bihter Daş
(2024), pp. 1-5
Closed Access

Multi-Label Classification in Text Data: An Examination on Innovative Technologies
Pınar Savcı, Bihter Daş
(2024), pp. 1-4
Closed Access

Trust Network Model of Genetic Algorithm in E-commerce Simulation Teaching Simulation
Fei Sun, H. T. Manohara
Lecture notes on data engineering and communications technologies (2024), pp. 265-275
Closed Access

A Novel Framework for Sentiment Analysis: Dimensionality Reduction for Machine Learning (DRML)
N. Dhamayanthi, B. Lavanya
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access

Sentiment Analysis Using E-Commerce Review Keyword-Generated Image with a Hybrid Machine Learning-Based Model
Jiawen Li, Yuesheng Huang, Yongning Lu, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 1581-1599
Open Access

Persepsi Wisatawan Melalui Analisis Sentimen Untuk Mendukung Pengembangan Pariwisata di Provinsi Maluku
Hennie Tuhuteru, Leonardo Petra Refialy, Marlisa Laturake, et al.
Journal of Applied Informatics and Computing (2024) Vol. 8, Iss. 1, pp. 119-126
Open Access

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