LabCompass

Xiaoqing Liu

Earth and Planetary Sciences · Purdue University West Lafayette

Established · publishing since 1992Rising activity

Publications

55

Citations

727

Est. group size

~1

Recurring co-author estimate

Active years

35

Publishing since 1992

Research summary
AI-generated

This researcher studies Earth's past climate, using computer simulations and geological/chemical records (such as ocean sediment cores) to understand how carbon dioxide levels, ocean circulation, and temperatures have changed over millions of years, from ancient warm periods like the Eocene and Miocene to more recent glacial cycles. Some work also reconstructs atmospheric CO2 history from marine archives and examines how climate sensitivity (how much warming results from a given rise in CO2) may or may not vary across different climate states. A smaller line of work looks at dissolved gas effects on fish in rivers, which is more applied environmental chemistry.

Paleoclimate reconstruction and CO2 historyClimate sensitivity and modelingOcean circulation and deep-sea sediment recordsArctic and polar climate dynamicsEnvironmental chemistry of river ecosystems

Publication output has grown noticeably over the last decade, rising from just a couple of papers per year before 2022 to around 7-9 per year from 2023 onward.

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

Publication cadence
Publications per year over the last 10 years — averaging 7.0/year recently
172018: 2 publications182019: 2 publications192020: 2 publications202021: 1 publication212022: 2 publications222023: 9 publications9232024: 8 publications242025: 9 publications9252026: 7 publications26
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×6
  • Nature Communications×3
  • Geophysical Research Letters×3
  • Geochimica et Cosmochimica Acta×2
  • Paleoceanography and Paleoclimatology×2
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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 20, 2026.

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