Chongliang Zhang

The predictive performances of random forest models with limited sample size and different species traits

Jing Luan, Chongliang Zhang, Binduo Xu et al. · Fisheries Research · 2020 · 201 citations

Biodiversity, Engineering, Forest Biometrics +10

Interpreting top-quark LHC measurements in the standard-model effective field theory : arXiv

J. A. Aguilar–Saavedra, Tilman Plehn, Céline Degrande et al. · arXiv (Cornell University) · 2018 · 134 citations · Full text

Effective-field-theory Interpretation, Common Standards, Collider Physic +10

Optimization of sampling effort for a fishery-independent survey with multiple goals

Binduo Xu, Chongliang Zhang, Ying Xue et al. · Environmental Monitoring and Assessment · 2015 · 67 citations

Fishery Assessment, Multiple Goals, Engineering +9

Interpreting top-quark LHC measurements in the standard-model effective field theory

J. A. Aguilar–Saavedra, Céline Degrande, Gauthier Durieux et al. · arXiv (Cornell University) · 2018 · 66 citations · Full text

Common Standards, Collider Physic, Physics +8

Improving prediction of rare species’ distribution from community data

Chongliang Zhang, Yong Chen, Binduo Xu et al. · Scientific Reports · 2020 · 64 citations · Full text