Rongyun Tang Data-verified

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

Postdoc

Last publication 2024 Last refreshed 2026-05-16

postdoc

10 h-index 18 pubs 402 cited

Biography and Research Information

OverviewAI-generated summary

Rongyun Tang's research investigates decision-making models in manufacturing and e-commerce supply chains, particularly concerning carbon emission permits and capital constraints. Tang has also explored the interannual variability and climatic sensitivity of global wildfire activity, developing models that incorporate ensemble machine learning and satellite observations for fire prediction and control. Further work examines the impact of heatwave events on hydrological processes in the contiguous United States and quantifies wildfire drivers in boreal peatlands using machine learning frameworks. Tang's publications also address low-carbon e-commerce supply chains and sustainable development, as well as coordination strategies in e-commerce logistics under specific preferences. Tang has published 18 papers with 391 citations and an h-index of 10.

Metrics

  • h-index: 10
  • Publications: 18
  • Citations: 402

Selected Publications

  • Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0 (2024)
    3 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

23 Collaborators 10 Institutions 3 Countries

Top Collaborators

Similar Researchers

Based on overlapping research topics