Li Dong
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Formerly Arkansas Affiliated with Arkansas State University through 2016; recent publications list Hubei University of Medicine, Baylor University.
Upstream record may be merged OpenAlex, the source of these figures, lists 48 institutions in 4 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Li Dong's research has focused on analyzing air pollution characteristics in China, particularly in relation to the COVID-19 outbreak, and estimating PM 2.5 concentrations using machine learning models. Dong also investigates the interaction between aerosols and thermodynamic stability within the planetary boundary layer during winter in the North China Plain. Concurrently, Dong's work examines the impact of COVID-19 on cardiovascular testing, comparing data from the United States with global trends.
Further research interests include consumer learning of product quality with time delays and the dynamics of supply chain network competition under conditions of information asymmetry and minimum quality standards. Dong has also explored university students' health information service needs in the post-COVID-19 era through the Kano model and has contributed to studies on data-driven closure for subgrid-scale stress in large-eddy simulations.
Dong holds a h-index of 12 with 97 total publications and 557 citations. Dong has served as Principal Investigator (PI) and Co-PI on two NSF grants totaling $634,828, focusing on fair machine learning through causal modeling and regression under sample selection bias.
Metrics
- h-index: 12
- Publications: 97
- Citations: 557
Selected Publications
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Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products (2017)
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Supply Chain Network Oligopolies with Product Differentiation (2016)
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Supply Chain Network Competition in Prices and Quality (2016)
Federal Grants 2 $634,828 total
III:Small: Counterfactually Fair Machine Learning through Causal Modeling
Collaboration Network
Top Collaborators
- Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products
- Supply Chain Network Competition in Prices and Quality
- Equilibria and Dynamics of Supply Chain Network Competition with Information Asymmetry in Quality and Minimum Quality Standards
- Supply Chain Network Oligopolies with Product Differentiation
- The Supply Chain Network Model with Freight Service Provider Competition
Showing 5 of 7 shared publications
- Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products
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