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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:

Resistance to Medical Artificial Intelligence
Chiara Longoni, Andrea Bonezzi, Carey K. Morewedge
Journal of Consumer Research (2019) Vol. 46, Iss. 4, pp. 629-650
Closed Access | Times Cited: 1071

Showing 1-25 of 1071 citing articles:

How artificial intelligence will change the future of marketing
Thomas H. Davenport, Abhijit Guha, Dhruv Grewal, et al.
Journal of the Academy of Marketing Science (2019) Vol. 48, Iss. 1, pp. 24-42
Open Access | Times Cited: 1462
A strategic framework for artificial intelligence in marketing
Ming‐Hui Huang, Roland T. Rust
Journal of the Academy of Marketing Science (2020) Vol. 49, Iss. 1, pp. 30-50
Open Access | Times Cited: 829
Task-Dependent Algorithm Aversion
Noah Castelo, Maarten W. Bos, Donald R. Lehmann
Journal of Marketing Research (2019) Vol. 56, Iss. 5, pp. 809-825
Closed Access | Times Cited: 789
Uniting the Tribes: Using Text for Marketing Insight
Jonah Berger, Ashlee Humphreys, Stephan Ludwig, et al.
Journal of Marketing (2019) Vol. 84, Iss. 1, pp. 1-25
Closed Access | Times Cited: 558
Artificial intelligence in information systems research: A systematic literature review and research agenda
Christopher Collins, Denis Dennehy, Kieran Conboy, et al.
International Journal of Information Management (2021) Vol. 60, pp. 102383-102383
Open Access | Times Cited: 455
Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect
Chiara Longoni, Luca Cian
Journal of Marketing (2020) Vol. 86, Iss. 1, pp. 91-108
Closed Access | Times Cited: 407
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Markus Langer, Daniel Oster, Timo Speith, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103473-103473
Open Access | Times Cited: 399
The evolving role of artificial intelligence in marketing: A review and research agenda
Božidar Vlačić, Leonardo Corbo, Susana Costa e Silva, et al.
Journal of Business Research (2021) Vol. 128, pp. 187-203
Open Access | Times Cited: 367
Artificial Intelligence and Marketing: Pitfalls and Opportunities
Arnaud De Bruyn, Vijay Viswanathan, Yean Shan Beh, et al.
Journal of Interactive Marketing (2020) Vol. 51, Iss. 1, pp. 91-105
Open Access | Times Cited: 311
Do as AI say: susceptibility in deployment of clinical decision-aids
Susanne Gaube, Harini Suresh, Martina Raue, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 276
To Err Is Human(-oid): How Do Consumers React to Robot Service Failure and Recovery?
Sungwoo Choi, Anna S. Mattila, Lisa E. Bolton
Journal of Service Research (2020) Vol. 24, Iss. 3, pp. 354-371
Closed Access | Times Cited: 270
Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review
Jiamin Yin, Kee Yuan Ngiam, Hock‐Hai Teo
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e25759-e25759
Open Access | Times Cited: 252
Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Abid Haleem, Mohd Javaid, Ravi Pratap Singh, et al.
Internet of Things and Cyber-Physical Systems (2022) Vol. 2, pp. 12-30
Open Access | Times Cited: 240
A Framework for Collaborative Artificial Intelligence in Marketing
Ming‐Hui Huang, Roland T. Rust
Journal of Retailing (2021) Vol. 98, Iss. 2, pp. 209-223
Closed Access | Times Cited: 228
Understanding Retail Experiences and Customer Journey Management
Dhruv Grewal, Anne L. Roggeveen
Journal of Retailing (2020) Vol. 96, Iss. 1, pp. 3-8
Closed Access | Times Cited: 225
The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
Siliang Tong, Nan Jia, Xueming Luo, et al.
Strategic Management Journal (2021) Vol. 42, Iss. 9, pp. 1600-1631
Closed Access | Times Cited: 224
Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence
Ekaterina Jussupow, Kai Spohrer, Armin Heinzl, et al.
Information Systems Research (2021) Vol. 32, Iss. 3, pp. 713-735
Closed Access | Times Cited: 216
A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application
Oliver Gansser, Christina Reich
Technology in Society (2021) Vol. 65, pp. 101535-101535
Open Access | Times Cited: 203
Anthropomorphism brings us closer: The mediating role of psychological distance in User–AI assistant interactions
Xinge Li, Yongjun Sung
Computers in Human Behavior (2021) Vol. 118, pp. 106680-106680
Closed Access | Times Cited: 201
Traveling with Companions: The Social Customer Journey
Ryan Hamilton, Rosellina Ferraro, Kelly L. Haws, et al.
Journal of Marketing (2020) Vol. 85, Iss. 1, pp. 68-92
Open Access | Times Cited: 199
Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions
Xueming Luo, Marco Shaojun Qin, Zheng Fang, et al.
Journal of Marketing (2020) Vol. 85, Iss. 2, pp. 14-32
Closed Access | Times Cited: 191
Understanding, explaining, and utilizing medical artificial intelligence
Romain Cadario, Chiara Longoni, Carey K. Morewedge
Nature Human Behaviour (2021) Vol. 5, Iss. 12, pp. 1636-1642
Open Access | Times Cited: 191
Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective
Erik Hermann
Journal of Business Ethics (2021) Vol. 179, Iss. 1, pp. 43-61
Open Access | Times Cited: 188
The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers
Markus Langer, Richard N. Landers
Computers in Human Behavior (2021) Vol. 123, pp. 106878-106878
Closed Access | Times Cited: 188
The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI
Sylvie Borau, Tobias Otterbring, Sandra Laporte, et al.
Psychology and Marketing (2021) Vol. 38, Iss. 7, pp. 1052-1068
Closed Access | Times Cited: 180
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