LabCompass

Tongxi Hu

Earth and Planetary Sciences · The Ohio State University

Mid career · publishing since 2002Rising activity

Publications

38

Citations

1,613

Est. group size

~1

Recurring co-author estimate

Active years

25

Publishing since 2002

Research summary
AI-generated

Tongxi Hu's research combines remote sensing, land surface modeling, and field observations to study agricultural and natural ecosystems, including croplands, forests, and tundra. Much of the work focuses on using satellite data and model-data fusion techniques to estimate soil carbon, crop biomass, vegetation productivity, and land surface conditions like freeze/thaw status and phenology, often at regional to continental scales across the United States.

Remote sensing of agriculture and land surfaceModel-data fusion for carbon and crop trait estimationSoil organic carbon and land management impactsLand surface phenology and freeze/thaw dynamicsForest and ecosystem disturbance monitoring

Publication output has fluctuated over the last decade without a clear upward or downward trend, with a peak in 2019 and relatively steady but modest output (around 1-4 papers per year) in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
2017: 3 publications172018: 2 publications182019: 7 publications7192020: 1 publication202021: 4 publications212022: 1 publication222023: 4 publications232024: 1 publication242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • Remote Sensing×3
  • Environmental Research Letters×3
  • AGU Fall Meeting Abstracts×3
  • Remote Sensing of Environment×2
  • Agricultural and Forest Meteorology×2
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

Claim or correct this profile