Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.
Identifying variable importance on mixed collinear building energy factor space by stochastic multi-statistic sensitivity analysis on TOPSIS with random decision forest
Decomposing core energy factor structure of U.S. commercial buildings through clustering around latent variables with Random Forest on large-scale mixed data
published2017 · Energy Conversion and Management · 21 citations
Decomposing core energy factor structure of U.S. residential buildings through principal component analysis with variable clustering on high-dimensional mixed data
Benchmarking energy performance of residential buildings using two-stage multifactor data envelopment analysis with degree-day based simple-normalization approach
published2015 · Energy Conversion and Management · 48 citations
Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach
An Entomopathogenic Strain of Beauveria bassiana against Frankliniella occidentalis with no Detrimental Effect on the Predatory Mite Neoseiulus barkeri: Evidence from Laboratory Bioassay and Scanning Electron Microscopic Observation
published2014 · PLoS ONE · 84 citations
with Shengyong Wu, Yulin Gao, Ya-Ping Zhang, Xuenong Xu, Zhongren Lei
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.