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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:

Machine learning in marketing: A literature review, conceptual framework, and research agenda
Eric W.T. Ngai, Yuanyuan Wu
Journal of Business Research (2022) Vol. 145, pp. 35-48
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

AI-powered marketing: What, where, and how?
Vikas Kumar, Abdul R. Ashraf, Waqar Nadeem
International Journal of Information Management (2024) Vol. 77, pp. 102783-102783
Open Access | Times Cited: 97
Machine Learning in Health
Gozde Kara, Leyla Özgür Polat
Advances in healthcare information systems and administration book series (2024), pp. 165-200
Closed Access | Times Cited: 85
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
Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda
Yikai Yang, Eric W.T. Ngai, Lei Wang
Information & Management (2024) Vol. 61, Iss. 4, pp. 103961-103961
Closed Access | Times Cited: 19
HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks
Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei–Keshteli, et al.
Information Sciences (2022) Vol. 623, pp. 184-205
Closed Access | Times Cited: 44
Machine learning in marketing: Recent progress and future research directions
Dennis Herhausen, Stefan F. Bernritter, Eric W.T. Ngai, et al.
Journal of Business Research (2023) Vol. 170, pp. 114254-114254
Closed Access | Times Cited: 24
Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
Claudia Arellano, Joseph Govan
Agronomy (2024) Vol. 14, Iss. 2, pp. 341-341
Open Access | Times Cited: 12
Integrating AI-driven marketing analytics techniques into the classroom: pedagogical strategies for enhancing student engagement and future business success
Kamaal Allil
Journal of Marketing Analytics (2024) Vol. 12, Iss. 2, pp. 142-168
Closed Access | Times Cited: 11
Big data analytics capability, marketing agility, and firm performance: a conceptual framework
Mikko Vesterinen, Joel Mero, Mika Skippari
The Journal of Marketing Theory and Practice (2024), pp. 1-21
Open Access | Times Cited: 10
Deep learning in fringe projection: A review
Haoyue Liu, Ning Yan, Bofan Shao, et al.
Neurocomputing (2024) Vol. 581, pp. 127493-127493
Closed Access | Times Cited: 10
Composing with generative AI on digital advertising platforms
Daniel L. Hocutt
Computers & composition/Computers and composition (2024) Vol. 71, pp. 102829-102829
Closed Access | Times Cited: 8
The Future of Marketing: The Transformative Power of Artificial Intelligence
Hafize Nurgül Durmuş Şenyapar
International Journal of Management and Administration (2024) Vol. 8, Iss. 15, pp. 1-19
Open Access | Times Cited: 8
Fake news on the internet: a literature review, synthesis and directions for future research
Yuanyuan Wu, Eric W.T. Ngai, Pengkun Wu, et al.
Internet Research (2022) Vol. 32, Iss. 5, pp. 1662-1699
Closed Access | Times Cited: 37
CSR-related consumer scepticism: A review of the literature and future research directions
Nguyen Thi Duong Nga, Constantinos‐Vasilios Priporas, Mark McPherson, et al.
Journal of Business Research (2023) Vol. 169, pp. 114294-114294
Open Access | Times Cited: 13
Data-driven message optimization in dynamic sports media: an artificial intelligence approach to predict consumer response
Elisa Herold, Aaditya Singh, Boris Feodoroff, et al.
Sport Management Review (2024) Vol. 27, Iss. 5, pp. 793-816
Open Access | Times Cited: 5
The interplay of artificial intelligence, machine learning, and data analytics in digital marketing and promotions: a review and research agenda
Rituparna Basu, Mumu Aktar, Satish Kumar
Journal of Marketing Analytics (2024)
Closed Access | Times Cited: 5
Smooth Talking and Fast Music: Understanding the Importance of Voice and Music in Travel and Tourism Ads via Acoustic Analytics
Stuart J. Barnes
Journal of Travel Research (2023) Vol. 63, Iss. 5, pp. 1070-1085
Open Access | Times Cited: 11
The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions
Manuel Muth
Forecasting (2025) Vol. 7, Iss. 1, pp. 3-3
Open Access
Applications of Machine Learning (ML) in the context of marketing: a bibliometric approach
Sebastián Cardona-Acevedo, Erica Agudelo-Ceballos, Diana Arango-Botero, et al.
F1000Research (2025) Vol. 14, pp. 92-92
Open Access
Machine Learning and Artificial Intelligence with XGBoost Algorithm for Binary Classification

(2025), pp. 161-192
Closed Access
The influence of emotions and communication style on customer satisfaction and recommendation in a call center context: An NLP-based analysis
Thomas De Cleen, Philippe Baecke, Frank Goedertier
Journal of Business Research (2025) Vol. 189, pp. 115192-115192
Closed Access
Applying Machine Learning in Marketing: An Analysis Using the NMF and K-Means Algorithms
Victor Gallego, Alfons Freixes, Jessica Lingan
Lecture notes in computer science (2025), pp. 14-26
Closed Access
Primary Determinants and Strategic Implications for Customer Loyalty in Pet-Related Vertical E-Commerce: A Machine Learning Approach
YongHyun Lee, Kwangtek Na, Jungwook Rhim, et al.
Systems (2025) Vol. 13, Iss. 3, pp. 175-175
Open Access
Integrating machine learning into business and management in the age of artificial intelligence
Aglaya Batz, David F. D’Croz-Barón, Carlos Morell, et al.
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access
Collecting and Analyzing User-Generated Content for Decision Support in Marketing Management: An Overview of Methods and Use Cases
Daniel Baier, Reinhold Decker, Yana Asenova
Schmalenbach Journal of Business Research (2025)
Open Access
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