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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:

An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews
Huwail J. Alantari, Imran S. Currim, Yiting Deng, et al.
International Journal of Research in Marketing (2021) Vol. 39, Iss. 1, pp. 1-19
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

More than a Feeling: Accuracy and Application of Sentiment Analysis
Jochen Hartmann, Mark Heitmann, Christian Siebert, et al.
International Journal of Research in Marketing (2022) Vol. 40, Iss. 1, pp. 75-87
Open Access | Times Cited: 165
Artificial Intelligence and Sentiment Analysis: A Review in Competitive Research
Hamed Taherdoost, Mitra Madanchian
Computers (2023) Vol. 12, Iss. 2, pp. 37-37
Open Access | Times Cited: 92
Sentiment analysis: A survey on design framework, applications and future scopes
Monali Bordoloi, Saroj Kumar Biswas
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12505-12560
Open Access | Times Cited: 82
Artificial intelligence in interactive marketing: a conceptual framework and research agenda
James W. Peltier, Andrew J. Dahl, John A. Schibrowsky
Journal of Research in Interactive Marketing (2023) Vol. 18, Iss. 1, pp. 54-90
Closed Access | Times Cited: 56
Sentiment Analysis of Consumer Reviews Using Deep Learning
Amjad Iqbal, Rashid Amin, Javed Iqbal, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10844-10844
Open Access | Times Cited: 53
The Effect of Using Augmented Reality Technology in Takeaway Food Packaging to Improve Young Consumers’ Negative Evaluations
Chao Gu, Tingting Huang, Wei Wei, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 335-335
Open Access | Times Cited: 35
Taste of asean: traditional food images from Southeast Asian countries
Fajar Kusnadi Kusumah Putra, Mandradhitya Kusuma Putra, Selvi Novianti
Journal of Ethnic Foods (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 23
Customer emotion detection and analytics in hotel and tourism services using multi-label classificational models based on ensemble learning
Van-Ho Nguyen, Nghia T. Nguyen, Thuy-Hien Nguyen, et al.
Annals of Operations Research (2025)
Closed Access | Times Cited: 1
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
Do online review readers react differently when exposed to credible versus fake online reviews?
Jong Min Kim, Keeyeon Ki-cheon Park, Marcello M. Mariani
Journal of Business Research (2022) Vol. 154, pp. 113377-113377
Open Access | Times Cited: 27
Which Industrial Sectors Are Affected by Artificial Intelligence? A Bibliometric Analysis of Trends and Perspectives
Lorena Espina-Romero, José Gregorio Noroño Sánchez, Humberto Gutiérrez Hurtado, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12176-12176
Open Access | Times Cited: 15
An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19
Meng Su, Dongsheng Cheng, Yan Xu, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120938-120938
Closed Access | Times Cited: 13
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
Decision-making model for selecting products through online product reviews utilizing natural language processing techniques
Sumera Naz, Aqsa Shafiq, Shariq Aziz Butt, et al.
Neurocomputing (2024), pp. 128593-128593
Closed Access | Times Cited: 5
Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics
Fernando Arias, Maytee Zambrano Nunez, Ariel Guerra-Adames, et al.
IEEE Access (2022) Vol. 10, pp. 74850-74872
Open Access | Times Cited: 21
The Dialogic Evolution of AI-Based Products: A Polyphonic Analysis of Temporal Transformations
Gulnara Z. Karimova
International Journal of Human-Computer Interaction (2024), pp. 1-14
Open Access | Times Cited: 4
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
Using machine learning to develop customer insights from user-generated content
Mekhail Mustak, Heli Hallikainen, Tommi Laukkanen, et al.
Journal of Retailing and Consumer Services (2024) Vol. 81, pp. 104034-104034
Open Access | Times Cited: 4
From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework
Rajeev Kumar Ray, A.R. Singh
Journal of Retailing and Consumer Services (2024) Vol. 82, pp. 104059-104059
Closed Access | Times Cited: 4
Mining social media data via supervised topic model: Can social media posts inform customer satisfaction?
Huang Ying-hui, Mei Li, Fugee Tsung, et al.
Decision Sciences (2025)
Closed Access
Sem-AI: A Unique Framework for Sentiment Analysis and Opinion Mining Using Social Network Data
J. Maruthupandi, S. Sivakumar, Vinay Kumar, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Analyzing customer reviews with abstractive summarization and sentiment analysis: a software review
Mohammed Hakimi, Mirza A. Haq, Arsalan Mujahid Ghouri, et al.
Journal of Marketing Analytics (2025)
Closed Access
A majority voting framework for reliable sentiment analysis of product reviews
Darie Moldovan
PeerJ Computer Science (2025) Vol. 11, pp. e2738-e2738
Open Access
Co-movement forecasting between consumer sentiment and stock price in e-commerce platforms using complex network and entropy optimization
Ming-Yue Wang, Rui Kong, J. Luo, et al.
Frontiers in Physics (2025) Vol. 13
Open Access
Classifying an incoming customer message into spam versus ham
Vivek Astvansh
Marketing Intelligence & Planning (2025)
Closed Access
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