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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:

Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic
Chengyu Liu, Yan Li, Mingjie Fang, et al.
Service Business (2023) Vol. 17, Iss. 2, pp. 449-476
Open Access | Times Cited: 13

Showing 13 citing articles:

Corporate social responsibility in family business: Using machine learning to uncover who is doing good
Feng Liu, Wanying Huang, J. Zhang, et al.
Technology in Society (2024) Vol. 76, pp. 102453-102453
Closed Access | Times Cited: 8
How does digital transformation promote total factor productivity? Strategy, technology, and application
W M Liu, Caixia Liu, Jing Luo, et al.
Managerial and Decision Economics (2024) Vol. 45, Iss. 5, pp. 2739-2750
Closed Access | Times Cited: 8
Mapping green innovation with machine learning: Evidence from China
Feng Liu, Rongping Wang, Mingjie Fang
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123107-123107
Closed Access | Times Cited: 18
Knowledge mapping of online healthcare: An interdisciplinary visual analysis using VOSviewer and CiteSpace
Xue Ding, Dagang Lü, Rong Wei, et al.
Digital Health (2025) Vol. 11
Open Access
Find who is doing social good: using machine learning to predict corporate social responsibility performance
J. Zhang, Minghao Zhu, Feng Liu
Operations Management Research (2023) Vol. 17, Iss. 1, pp. 253-266
Closed Access | Times Cited: 10
Does digital transformation curb the formation of zombie firms? A machine learning approach
Mingyue Wang, Yanling Yu, Feng Liu
Technology Analysis and Strategic Management (2023), pp. 1-17
Closed Access | Times Cited: 8
Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data
Adjei Peter Darko, Collins Opoku Antwi, Kingsley Adjei, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123647-123647
Closed Access | Times Cited: 2
Assessing the determinants of corporate environmental investment: a machine learning approach
Feng Liu, Ruixue Wu, Si Liu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 11, pp. 17401-17416
Closed Access | Times Cited: 1
VSEM-SAMMI: An Explainable Multimodal Learning Approach to Predict User-Generated Image Helpfulness and Product Sales
Chengwen Sun, Feng Liu
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
What Makes Viewers Engage in Live Streaming Shopping during and after the Pandemic: An Affordance Perspective
Ping Li, Seoyoun Lee, Kyung Young Lee, et al.
Service Business (2023) Vol. 17, Iss. 4, pp. 963-1000
Closed Access | Times Cited: 3
Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory
J Chen, Guoping Wu, Tong Zhang, et al.
Digital Health (2024) Vol. 10
Open Access
The impact of internet medical service on rural gender inequality in health opportunity: a cross-sectional study
Jingjing Jia, Changli Jia, Xiang Zhang, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access
No pains no gains: understanding the impacts of physician efforts in online reviews on outpatient appointment
Pengkun Wu, Liuan Wang, J Jiang, et al.
Aslib Journal of Information Management (2024)
Closed Access
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