| Novel methods improve prediction of species’ distributions from occurrence data J Elith, CH Graham, RP Anderson, M Dudík, S Ferrier, A Guisan, ... Ecography 29 (2), 129-151, 2006 | 10409 | 2006 |
| Effects of sample size on the performance of species distribution models MS Wisz, RJ Hijmans, J Li, AT Peterson, CH Graham, A Guisan, ... Diversity and distributions 14 (5), 763-773, 2008 | 2849 | 2008 |
| A review of spatial interpolation methods for environmental scientists J Li, A Heap | 1241 | 2008 |
| A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors J Li, AD Heap Ecological Informatics 6 (3-4), 228-241, 2011 | 1065 | 2011 |
| Spatial interpolation methods applied in the environmental sciences: A review J Li, AD Heap Environmental Modelling & Software 53, 173-189, 2014 | 870 | 2014 |
| Sensitivity of predictive species distribution models to change in grain size A Guisan, CH Graham, J Elith, F Huettmann, ... Diversity and Distributions 13 (3), 332-340, 2007 | 678 | 2007 |
| The influence of spatial errors in species occurrence data used in distribution models CH Graham, J Elith, RJ Hijmans, A Guisan, A Townsend Peterson, ... Journal of Applied Ecology 45 (1), 239-247, 2008 | 636 | 2008 |
| Application of machine learning methods to spatial interpolation of environmental variables J Li, AD Heap, A Potter, JJ Daniell Environmental Modelling & Software 26 (12), 1647-1659, 2011 | 397 | 2011 |
| Soil degradation and restoration as affected by land use change in the semiarid Bashang area, northern China WZ Zhao, HL Xiao, ZM Liu, J Li Catena 59 (2), 173-186, 2005 | 267 | 2005 |
| Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what? J Li PloS one 12 (8), e0183250, 2017 | 181 | 2017 |
| Selecting Optimal Random Forest Predictive Models: A Case Study on Predicting the Spatial Distribution of Seabed Hardness J Li, M Tran, J Siwabessy PLOS ONE 10 (11), e0142502, 2016 | 86 | 2016 |
| Can we improve the spatial predictions of seabed sediments? A case study of spatial interpolation of mud content across the southwest Australian margin J Li, AD Heap, A Potter, Z Huang, JJ Daniell Continental Shelf Research 31 (13), 1365-1376, 2011 | 78 | 2011 |
| Assessing spatial predictive models in the environmental sciences: accuracy measures, data variation and variance explained J Li Environmental Modelling and Software 80, 1-8, 2016 | 77 | 2016 |
| Spatial interpolation of McArthur's Forest Fire Danger Index across Australia: Observational study LA Sanabria, X Qin, J Li, RP Cechet, C Lucas Environmental Modelling & Software 50, 37-50, 2013 | 66 | 2013 |
| Influence of woody vegetation on pollinator densities in oilseed Brassica fields in an Australian temperate landscape AD Arthur, J Li, S Henry, SA Cunningham Basic and Applied Ecology 11 (5), 406-414, 2010 | 66 | 2010 |
| Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness J Li, B Alvarez, J Siwabessy, M Tran, Z Huang, R Przeslawski, L Radke, ... Environmental Modelling & Software 97, 112-129, 2017 | 65 | 2017 |
| Performance of predictive models in marine benthic environments based on predictions of sponge distribution on the Australian continental shelf Z Huang, B Brooke, J Li Ecological Informatics 6 (3-4), 205-216, 2011 | 51 | 2011 |
| CropPol: A dynamic, open and global database on crop pollination A Allen-Perkins, A Magrach, M Dainese, LA Garibaldi, D Kleijn, R , Rader, ... Ecology 103 (3), 2022 | 50 | 2022 |
| Issues affecting the measurement of disturbance response patterns in herbaceous vegetation–A test of the intermediate disturbance hypothesis J Li, WA Loneragan, JA Duggin, CD Grant Plant ecology 172, 11-26, 2004 | 50 | 2004 |
| Spatially‐Balanced Designs that Incorporate Legacy Sites SD Foster, GR Hosack, E Lawrence, R Przeslawski, P Hedge, MJ Caley, ... Methods in Ecology and Evolution, 2017 | 48 | 2017 |
Zhi HuangGeoscience AustraliaE-mail confirmado em ga.gov.au