GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies. - Anando Sen; Shreya Chakrabarti; Andrew Goldstein; Shuang Wang; Patrick B. Ryan; Chunhua Weng (J. Biomed. Informatics, 2016)

Evidence appraisal: a scoping review, conceptual framework, and research agenda. - Andrew Goldstein; Eric Venker; Chunhua Weng (J. Am. Medical Informatics Assoc., 2017)

The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0. - Anando Sen; Andrew Goldstein; Shreya Chakrabarti; Ning Shang; Tian Kang; Anil Yaman; Patrick B. Ryan; Chunhua Weng (J. Am. Medical Informatics Assoc., 2018)

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. - David J. Albers; Noémie Elhadad; Jan Claassen; Rimma Perotte; Andrew Goldstein; George Hripcsak (J. Biomed. Informatics, 2018)

The ranking of scientists. - Chunhua Weng; Andrew Goldstein; Chi Yuan; Zhiping Zhou (J. Biomed. Informatics, 2018)

Understanding the nature and scope of clinical research commentaries in PubMed. - James R. Rogers; Hollis Mills; Lisa V. Grossman; Andrew Goldstein; Chunhua Weng (J. Am. Medical Informatics Assoc., 2020)