Dr. Cheng Li

Please look at this page if you're interested to know about myself. Please refer to the Research Page for details of my research and my group, and the Teaching Page for my courses. You're welcome to Contact me, if you're interested to visit and talk with me on my research or courses, but before that you may want to consult my Weekly Schedule and Travel plan.

• How to empirically model star formation in dark matter halos: I. Inferences about central galaxies from numerical simulations (Y.Y. Chen et al 2020)
• Measuring galaxy abundance and clustering at high redshift from incomplete spectroscopic data: Tests on mock catalogs and application to zCOSMOS (J.C. Meng et al. 2020)
• Constraining the density and temperature of circumgalactic media with the SZ effect and X-ray data (X.Y. Wu et al. 2020)
• A new estimator of resolved molecular gas in nearby galaxies (R. Chown et al. 2020)
• Identifying galaxy groups and clusters in the high-z universe (K. Wang et al. 2020)
• Bars enhance the central star formation and gas inflow in low-z galaxies (L. Lin et al. 2020)
• Recovering star formation histories of low-mass galaxies (S. Zhou et al. 2020)
• Relating structure of dark halos to their assembly and environment (Y.Y. Chen et al. 2020)
• Estimating stellar dust attenuation from galactic spectra (N. Li et al. 2020)
• Searching for Wolf-Rayet Regions of Massive Stars in Galaxies (F.H. Liang et al. 2020)
• Estimating the molecular gas mass of low-redshift galaxies from a combination of mid-infrared luminosity and optical properties (Y. Gao et al. 2019)
• A joint analysis of CALIFA and CARMA-EDGE survey data shows molecular gas concentration driven by bars and interactions (R. Chown et al. 2019)
• Environmental dependence of alpha abundance of nearby galaxies as revealed by MaNGA data (Z. Zheng et al. 2019)
• Stellar initial mass function varies across galaxies based on Bayesian analyses of MaNGA spectra (S. Zhou et al. 2019)
• Quantifying the cosmic variance in low-z galaxy distribution using constrained simulations (Y.Y. Chen et al. 2019)
• MaNGA reveals how galaxies stop forming stars (E.C. Wang et al. 2018)