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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:

The Power of Brand Selfies in Consumer-Generated Brand Images
Jochen Hartmann, Mark Heitmann, Christina Schamp, et al.
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 18

Showing 18 citing articles:

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: 559
Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
Journal of Business Research (2020) Vol. 123, pp. 588-603
Open Access | Times Cited: 160
MindMiner: Uncovering linguistic markers of mind perception as a new lens to understand consumer–smart object relationships
Jochen Hartmann, Anouk Bergner, Christian Hildebrand
Journal of Consumer Psychology (2023) Vol. 33, Iss. 4, pp. 645-667
Open Access | Times Cited: 22
Where did you take those photos? Tourists’ preference clustering based on facial and background recognition
Ning Deng, Jiayi Liu
Journal of Destination Marketing & Management (2021) Vol. 21, pp. 100632-100632
Closed Access | Times Cited: 44
From words to pixels: text and image mining methods for service research
Francisco Villarroel Ordenes, Shunyuan Zhang
Journal of service management (2019) Vol. 30, Iss. 5, pp. 593-620
Closed Access | Times Cited: 48
Understanding videos at scale: How to extract insights for business research
Jasper Schwenzow, Jochen Hartmann, Amos Schikowsky, et al.
Journal of Business Research (2020) Vol. 123, pp. 367-379
Open Access | Times Cited: 44
Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications
Francisco Villarroel Ordenes, Rosaria Silipo
Journal of Business Research (2021) Vol. 137, pp. 393-410
Closed Access | Times Cited: 32
Identification of Travel Styles by Learning from Consumer-generated Images in Online Travel Communities
Ines Brusch
Information & Management (2022) Vol. 59, Iss. 6, pp. 103682-103682
Open Access | Times Cited: 12
Predicting consumers’ choices in the age of the internet, AI, and almost perfect tracking: Some things change, the key challenges do not
David Gal, Itamar Simonson
Consumer Psychology Review (2020) Vol. 4, Iss. 1, pp. 135-152
Closed Access | Times Cited: 16
Can User Generated Content Predict Restaurant Survival: Deep Learning of Yelp Photos and Reviews
Mengxia Zhang, Lan Luo
SSRN Electronic Journal (2016)
Closed Access | Times Cited: 16
The role of facial expression and tie strength in sender presence effects on consumers’ brand responses towards visual brand-related user generated content
Annemarie Nanne, Marjolijn L. Antheunis, Guda van Noort
Computers in Human Behavior (2020) Vol. 117, pp. 106628-106628
Open Access | Times Cited: 15
Image Analytics in Marketing
Daria Dzyabura, Siham El Kihal, Renana Peres
Springer eBooks (2021), pp. 1-29
Closed Access | Times Cited: 4
The Pinnacle of Influence: Unveiling the Evolution, Global Dynamics, and Multidisciplinary Tapestry of Social Media Influencer Marketing (2016–2024)
Anisha Arora, Prashant Kumar Siddhey
(2024), pp. 377-395
Closed Access
Classification Using Decision Tree Ensembles
Jochen Hartmann
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 3
Understanding Videos at Scale: How to Extract Insights for Business Research
Jasper Schwenzow, Jochen Hartmann, Amos Schikowsky, et al.
SSRN Electronic Journal (2020)
Open Access | Times Cited: 2
Chromatic-Luminance and True-Texture Analysis for Image Mining in the Social Sciences
Benjamin Lucas, Ben Kozary
(2021)
Closed Access | Times Cited: 1
How to Beautify the Elderly?: A Study on the Facial Preference of Senior Citizens
Weiwei Zhang, Yuankun Li, Jihong Jeung
Lecture notes in computer science (2020), pp. 146-160
Closed Access
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
arXiv (Cornell University) (2020)
Closed Access
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