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About the database ScholarIQanswers from OpenAlex & ORCID
How has Quang Huy Duong's publication output changed over time?
ScholarIQpublication output · 2011–2026
Output grew0% over the shown period — from 1 works in 2011 to 1 in 2026.
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2011201220132021202420252026
What are the most-cited papers on Quang Huy Duong?
ScholarIQmost cited works
Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review
Tiep Duy Nguyen, Quang Huy Duong, Truong Van Nguyen, You Zhu, Li Zhou
S184816971. 2021161 CitationsOPEN ACCESS
Understanding product returns: A systematic literature review using machine learning and bibliometric analysis
Quang Huy Duong, Li Zhou, Meng Meng, Truong Van Nguyen, Petros Ieromonachou, Tiep Duy Nguyen
S184816971. 202181 Citations
Electric Vehicle Battery Technologies and Capacity Prediction: A Comprehensive Literature Review of Trends and Influencing Factors
Vo Tri Duc Sang, Quang Huy Duong, Li Zhou, Carlos F. A. Arranz
S2737090608. 202426 CitationsOPEN ACCESS
Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing
Michael P. Wellman, Tae Hyung Kim, Quang Huy Duong
arXiv (Cornell University). 201317 CitationsOPEN ACCESS
Understanding and predicting online product return behavior: An interpretable machine learning approach
Quang Huy Duong, Li Zhou, Truong Van Nguyen, Meng Meng
S184816971. 202416 Citations
Related on ScholarIQ
Shanghai Shipbuilding Technology Research Institute
Institution
Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review
Paper
Understanding product returns: A systematic literature review using machine learning and bibliometric analysis
Paper
Electric Vehicle Battery Technologies and Capacity Prediction: A Comprehensive Literature Review of Trends and Influencing Factors
Paper
Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing
Paper
Understanding and predicting online product return behavior: An interpretable machine learning approach
Paper