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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:

Social Media's Impact on the Consumer Mindset: When to Use Which Sentiment Extraction Tool?
Raoul V. Kübler, Anatoli Colicev, Koen Pauwels
Journal of Interactive Marketing (2019) Vol. 50, Iss. 1, pp. 136-155
Open Access | Times Cited: 93

Showing 1-25 of 93 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
Real-Time Brand Reputation Tracking Using Social Media
Roland T. Rust, William Rand, Ming‐Hui Huang, et al.
Journal of Marketing (2021) Vol. 85, Iss. 4, pp. 21-43
Open Access | Times Cited: 121
Mining the text of online consumer reviews to analyze brand image and brand positioning
Miriam Alzate, Marta Arce‐Urriza, Javier Cebollada
Journal of Retailing and Consumer Services (2022) Vol. 67, pp. 102989-102989
Open Access | Times Cited: 94
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
Customer Emotions in Service Robot Encounters: A Hybrid Machine-Human Intelligence Approach
Raffaele Filieri, Zhibin Lin, Yulei Li, et al.
Journal of Service Research (2022) Vol. 25, Iss. 4, pp. 614-629
Open Access | Times Cited: 84
Public attitudes and sentiments towards new energy vehicles in China: A text mining approach
Zezhou Wu, Qiufeng He, Jiarun Li, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 178, pp. 113242-113242
Closed Access | Times Cited: 44
Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media
Susan Vermeer, Theo Araujo, Stefan F. Bernritter, et al.
International Journal of Research in Marketing (2019) Vol. 36, Iss. 3, pp. 492-508
Open Access | Times Cited: 130
Exploring the impact of chatbots on consumer sentiment and expectations in retail
Anh D. Tran, Jason Pallant, Lester W. Johnson
Journal of Retailing and Consumer Services (2021) Vol. 63, pp. 102718-102718
Closed Access | Times Cited: 102
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
E-word of mouth sentiment analysis for user behavior studies
Hui Li, Qi Chen, Zhaoman Zhong, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102784-102784
Closed Access | Times Cited: 85
The Future of Digital Communication Research: Considering Dynamics and Multimodality
Dhruv Grewal, Dennis Herhausen, Stephan Ludwig, et al.
Journal of Retailing (2021) Vol. 98, Iss. 2, pp. 224-240
Open Access | Times Cited: 83
Social Media Usage
Girish Mude, Swapnil Undale
International Journal of E-Business Research (2023) Vol. 19, Iss. 1, pp. 1-20
Open Access | Times Cited: 34
Unstructured data research in business: Toward a structured approach
Evert de Haan, Manjunath Padigar, Siham El Kihal, et al.
Journal of Business Research (2024) Vol. 177, pp. 114655-114655
Open Access | Times Cited: 8
Battle of the Brand Fans: Impact of Brand Attack and Defense on Social Media
Behice Ece Ilhan, Raoul V. Kübler, Koen Pauwels
Journal of Interactive Marketing (2018) Vol. 43, Iss. 1, pp. 33-51
Closed Access | Times Cited: 79
Supervised machine learning methods in psychology: A practical introduction with annotated R code
Hannes Rosenbusch, Felix Soldner, Anthony M. Evans, et al.
Social and Personality Psychology Compass (2021) Vol. 15, Iss. 2
Open Access | Times Cited: 51
Employees as influencers: measuring employee brand equity in a social media age
Donna A. Smith, Jenna Jacobson, Janice Rudkowski
Journal of Product & Brand Management (2021) Vol. 30, Iss. 6, pp. 834-853
Open Access | Times Cited: 49
Determinants of online brand communities’ and millennials’ characteristics: A social influence perspective
Wilson Ozuem, Michelle Willis, Kerry E. Howell, et al.
Psychology and Marketing (2021) Vol. 38, Iss. 5, pp. 794-818
Open Access | Times Cited: 48
Identifying Market Structure: A Deep Network Representation Learning of Social Engagement
Yi Yang, Kunpeng Zhang, P.K. Kannan
Journal of Marketing (2021) Vol. 86, Iss. 4, pp. 37-56
Closed Access | Times Cited: 44
The power of emotions: Leveraging user generated content for customer experience management
Martin Sýkora, Suzanne Elayan, Ian R. Hodgkinson, et al.
Journal of Business Research (2022) Vol. 144, pp. 997-1006
Open Access | Times Cited: 35
Natural Language Processing in Marketing
Jochen Hartmann, Oded Netzer
Review of marketing research (2023), pp. 191-215
Closed Access | Times Cited: 21
Demand forecasting with user-generated online information
Oliver Schaer, Nikolaos Kourentzes, Robert Fildes
International Journal of Forecasting (2018) Vol. 35, Iss. 1, pp. 197-212
Open Access | Times Cited: 57
Content valuation strategies for digital subscription platforms
Raoul V. Kübler, R. Seifert, Michael Kandziora
Journal of Cultural Economics (2020) Vol. 45, Iss. 2, pp. 295-326
Open Access | Times Cited: 49
Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms
Jifeng Mu, Jonathan Z. Zhang
Journal of the Academy of Marketing Science (2021) Vol. 49, Iss. 5, pp. 994-1020
Closed Access | Times Cited: 37
Machine Learning and Marketing: A Systematic Literature Review
Vannessa Duarte, Sergio Zúñiga-Jara, Sergio Contreras
IEEE Access (2022) Vol. 10, pp. 93273-93288
Open Access | Times Cited: 25
Luxury is what you say: Analyzing electronic word‐of‐mouth marketing of luxury products using artificial intelligence and machine learning
Yusuf Oc, Kirk Plangger, Sean Sands, et al.
Psychology and Marketing (2023) Vol. 40, Iss. 9, pp. 1704-1719
Open Access | Times Cited: 16
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