Match tier Confirmed
Presence Formerly Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-16

Li Dong

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI

Researcher

Formerly Arkansas Affiliated with Arkansas State University through 2017; recent publications list Yuncheng University, Columbia University.

Faculty Researcher

12 h-index 97 pubs 557 cited

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.

  • Humans
  • China
  • COVID-19
  • Pandemics
  • Carbon Dioxide
  • Ecosystem
  • Climate Change
  • Air Pollutants
  • Air Pollution
  • Environmental Monitoring
  • Soot
  • SARS-CoV-2
  • United States
  • Internship and Residency
  • Surgery, Plastic

Biography and Research Information

OverviewAI-generated summary

Li Dong's research focuses on environmental science and public health, with a particular emphasis on air pollution in China and the application of artificial intelligence in environmental and health-related analyses. Dong has investigated the characteristics of air pollution during the COVID-19 outbreak in China and developed machine learning models for estimating PM2.5 concentrations. Their work also includes analyzing long-term trends in atmospheric aerosol distribution and transport using satellite data, and studying watershed evaporation through isotopic analysis.

Further research extends to the intersection of technology and human behavior, including assessing university students' health information needs in the post-COVID-19 era using the Kano model and developing spatio-temporal attention networks for urban traffic flow prediction. Dong has received federal funding from the National Science Foundation for research on counterfactually fair machine learning through causal modeling and on fair regression under sample selection bias.

With a scholarly record including 97 publications and 557 citations, Dong has an h-index of 12. Their recent work has been published in 2021, 2022, 2023, and 2024, demonstrating recent activity in their research areas.

Metrics

  • h-index: 12
  • Publications: 97
  • Citations: 557

Selected Publications

  • Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products (2017)
    Omega 37 citations DOI OpenAlex
  • Supply Chain Network Oligopolies with Product Differentiation (2016)
    Springer series in supply chain management 2 citations DOI OpenAlex
  • Supply Chain Network Competition in Prices and Quality (2016)
    Springer series in supply chain management 3 citations DOI OpenAlex
  • Information Asymmetry in Perfectly Competitive Spatial Price Equilibrium Problems (2016)
    Springer series in supply chain management DOI OpenAlex

View all publications on OpenAlex →

Federal Grants 2 $634,828 total

NSF Co-PI Oct 2021 - Sep 2026

III:Small: Counterfactually Fair Machine Learning through Causal Modeling

Info Integration & Informatics $484,828
NSF PI Sep 2021 - Aug 2023

EAGER: Towards Fair Regression under Sample Selection Bias

Info Integration & Informatics $150,000

Collaboration Network

91 Collaborators 39 Institutions 5 Countries

Top Collaborators

Similar Researchers

Based on overlapping research topics