Linyin Cheng Source Confirmed

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

High Impact

Associate Professor GEAR 230

University of Arkansas at Fayetteville

faculty

21 h-index 42 pubs 3,241 cited

Is this your profile? Verify and claim your profile

Biography and Research Information

OverviewAI-generated summary

Linyin Cheng's research focuses on environmental science, particularly drought dynamics, water resource management, and land-use impacts. Her work investigates the complex interactions between climate, land surface characteristics, and hydrological processes. Cheng has published research on drought recovery patterns over the Yangtze River Basin, employing hybrid Bayesian models for water level prediction and developing probabilistic frameworks for drought and fluvial event identification.

Her recent publications examine the co-regulation of water and energy in drought resistance and resilience, the influence of land-use intensity on ecological restoration in areas with severe soil erosion, and the prioritization of semi-arid regions for drought mitigation efforts. Cheng also studies the compensating effects between climate and underlying watershed characteristics on water loss, and analyzes observational uncertainty in global drought-pluvial volatility. Her scholarship metrics include an h-index of 21 and over 3,241 citations across 42 publications.

Cheng has received federal funding for two projects totaling $577,935. She was a Co-Principal Investigator on an NIH/National Institute on Drug Abuse grant for "Tunable multi-timescale cortical dynamics: fundamental theory and practical tools" ($328,030) and an NSF grant for "AccelNet-Design: International Networks Towards Future U.S. Urban Resilience (Resilient-NET)" ($249,905). She maintains an active lab website and leads a research group.

Metrics

  • h-index: 21
  • Publications: 42
  • Citations: 3,241

Selected Publications

  • Enhanced Extreme Precipitation Simulation in China using NCAR CESM Based on Realistic Remotely-Sensed Land Cover and Land Use Data from 1982 to 2013 (2025) DOI
  • Semi-arid rather than arid regions of China deserve the priority in drought mitigation efforts (2024) DOI
  • Observational Uncertainty for Global Drought‐Pluvial Volatility (2023) DOI
  • Co-regulation of water and energy in the spatial heterogeneity of drought resistance and resilience (2023) DOI
  • Land‐Use Intensity Reversed the Role of Cropland in Ecological Restoration Over the World's Most Severe Soil Erosion Region (2023) DOI
  • Compensating Effects Between Climate and Underlying Characteristics on Watershed Water Loss (2023) DOI
  • A probabilistic framework for sequential drought-fluvial identification, probability estimation and prediction (2022) DOI
  • The Reconstruction and Extension of Terrestrial Water Storage Based on a Combined Prediction Model (2021) DOI
  • The Reconstruction and Extension of Terrestrial Water Storages Based On A Combined Prediction Model (2021) DOI
  • A hybrid bayesian vine model for water level prediction (2021) DOI
  • Dynamic drought recovery patterns over the Yangtze River Basin (2021) DOI

Federal Grants 2 $577,935 total

NIH/National Institute on Drug Abuse Co-PI Aug 2024 - May 2027

Tunable multi-timescale cortical dynamics: fundamental theory and practical tools

National Institute on Drug Abuse $328,030 R01

Collaborators

Researchers in the database who share publications

Similar Researchers

Based on overlapping research topics