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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:

Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques
H. Karamath Ali, Ehtesham Hashmi, Sule Yildirim Yayilgan, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1305-1305
Open Access | Times Cited: 16

Showing 16 citing articles:

Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
Ehtesham Hashmi, Muhammad Mudassar Yamin, Sule Yildirim Yayilgan
AI and Ethics (2024)
Open Access | Times Cited: 11
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers
Ehtesham Hashmi, Sule Yildirim Yayilgan, Sarang Shaikh
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration
Ehtesham Hashmi, Sule Yildirim Yayilgan, Ibrahim A. Hameed, et al.
IEEE Access (2024) Vol. 12, pp. 121507-121537
Open Access | Times Cited: 8
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
Zhiwei Liu, Kailai Yang, Qianqian Xie, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5487-5496
Open Access | Times Cited: 7
A robust hybrid approach with product context-aware learning and explainable AI for sentiment analysis in Amazon user reviews
Ehtesham Hashmi, Sule Yildirim Yayilgan
Electronic Commerce Research (2024)
Open Access | Times Cited: 7
Enhancing Misogyny Detection in Bilingual Texts Using FastText and Explainable AI
Ehtesham Hashmi, Muhammad Mudassar Yamin, S Mohammed Imran, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 5
Mapping the emergence and maturation of sustainable supply chain technologies: a patent-based assessment of technology life cycles
Mehrdad Maghsoudi, Alireza Noorbakhsh, Shahrzad Khanizadeh, et al.
Annals of Operations Research (2025)
Closed Access
Fine‐tuning XLNet for Amazon review sentiment analysis: A comparative evaluation of transformer models
Amrithkala M. Shetty, D. H. Manjaiah, Mohammed Fadhel Aljunid
ETRI Journal (2025)
Open Access
Self-supervised hate speech detection in Norwegian texts with lexical and semantic augmentations
Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, et al.
Expert Systems with Applications (2024), pp. 125843-125843
Open Access | Times Cited: 3
Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers
Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
Zhiwei Liu, Kailai Yang, Tianlin Zhang, et al.
arXiv (Cornell University) (2024)
Open Access
Sentiment analysis deep learning model based on a novel hybrid embedding method
Chafika Ouni, Emna Benmohamed, Hela Ltifi
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
Empowering Consumer Decision-Making: Decoding Incentive vs. Organic Reviews for Smarter Choices Through Advanced Textual Analysis
Kate Kargozari, Junhua Ding, Haihua Chen
Electronics (2024) Vol. 13, Iss. 21, pp. 4316-4316
Open Access
Sentiment classification on product reviews using machine learning and deep learning techniques
Neha Singh, Umesh Chandra Jaiswal
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 12, pp. 5726-5741
Closed Access
A Comparative Study of Sentiment Analysis on Customer Reviews Using Machine Learning and Deep Learning
Logan Ashbaugh, Zhang Yan
Computers (2024) Vol. 13, Iss. 12, pp. 340-340
Open Access
A Sentiment Analysis of Product Review Data Through Large Language Models (LLMs)
H. S. S. Sinha
(2024), pp. 1-6
Closed Access
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