Q. V. Cao
Nature and Landscape Conservation · 2004–2018
A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 35 citations into it; #1,947 of 6,941 by trust here, #5,111 by citations
- Environmental Engineering — 30 citations into it; #5,349 of 5,479 by trust here, #4,694 by citations
- Global and Planetary Change — 17 citations into it
- Mechanical Engineering — 10 citations into it; #2,771 of 8,300 by trust here, #6,077 by citations
Whom Q. V. Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guillermo Trincado
- Geert Molenberghs
- S. Meng
- L. Leites
- S. Huang
- Yuqing Yang
- Harold E. Burkhart
- Roger W. Koenker
- Douglas A. Maguire
- Andrew P. Robinson
Who trusts Q. V. Cao overall
- Jouni Siipilehto
- T. Nord‐Larsen
- Lauri Mehtätalo
- M. Palahí
- Aaron Weiskittel
- Sergio de-Miguel
- T. Pukkala
- D. Hann
- Hao Zang
- A. Trasobares
Papers from Q. V. Cao's perspective
Ordered by how strongly the researchers Q. V. Cao trusts endorse each paper. Same corpus, a different order for every researcher.
- Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain
- Improving Taper Equations of Loblolly Pine with Crown Dimensions in a Mixed-Effects Modeling Framework (Forestry sciences)
- A Generalized Approach for Modeling and Localizing Stem Profile Curves (Forestry sciences)
- Modeling stem taper of three central Oregon species using nonlinear mixed effects models and autoregressive error structures
- Developing and Validating Nonlinear Height-Diameter Models for Major Tree Species of Ontario's Boreal Forests
- Comparative evaluation of five height–diameter models developed for black spruce and jack pine stand-types in terms of goodness-of-fit, lack-of-fit and predictive ability
- A generalized height–diameter model including random components for radiata pine plantations in northwestern Spain
- Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach
- A Flexible Growth Function for Empirical Use
- A comparison of alternative methods for estimating the self-thinning boundary line
Their papers
- Predicting Parameters of a Weibull Function for Modeling Diameter Distribution (2004) — 211 citations
- Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey (2018) — 75 citations
- Prediction of tree diameter growth using quantile regression and mixed-effects models (2014) — 53 citations
- Evaluation of methods to predict Weibull parameters for characterizing diameter distributions (2013) — 151 citations
- Calibrating fixed- and mixed-effects taper equations (2011) — 55 citations
- A diameter distribution model for even-aged beech in Denmark (2006) — 90 citations