| A computer vision for animal ecology BG Weinstein Journal of Animal Ecology 87 (3), 533-545, 2018 | 365 | 2018 |
| Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks BG Weinstein, S Marconi, S Bohlman, A Zare, E White Remote Sensing 11 (11), 1309, 2019 | 289 | 2019 |
| Small unmanned aerial vehicles (micro‐UAVs, drones) in plant ecology MB Cruzan, BG Weinstein, MR Grasty, BF Kohrn, EC Hendrickson, ... Applications in plant sciences 4 (9), 1600041, 2016 | 201 | 2016 |
| Cross-site learning in deep learning RGB tree crown detection BG Weinstein, S Marconi, SA Bohlman, A Zare, EP White Ecological Informatics 56, 101061, 2020 | 121 | 2020 |
| Motion Meerkat: integrating motion video detection and ecological monitoring BG Weinstein Methods in Ecology and Evolution 6 (3), 357-362, 2015 | 108 | 2015 |
| Taxonomic, phylogenetic, and trait beta diversity in South American hummingbirds BG Weinstein, B Tinoco, JL Parra, LM Brown, JA McGuire, FG Stiles, ... The American Naturalist 184 (2), 211-224, 2014 | 105 | 2014 |
| Persistent bill and corolla matching despite shifting temporal resources in tropical hummingbird‐plant interactions BG Weinstein, CH Graham Ecology letters 20 (3), 326-335, 2017 | 97 | 2017 |
| Process-based species pools reveal the hidden signature of biotic interactions amid the influence of temperature filtering JP Lessard, BG Weinstein, MK Borregaard, KA Marske, DR Martin, ... The American Naturalist 187 (1), 75-88, 2016 | 71 | 2016 |
| DeepForest: A Python package for RGB deep learning tree crown delineation BG Weinstein, S Marconi, M Aubry‐Kientz, G Vincent, H Senyondo, ... Methods in Ecology and Evolution 11 (12), 1743-1751, 2020 | 67 | 2020 |
| Identifying overlap between humpback whale foraging grounds and the Antarctic krill fishery BG Weinstein, M Double, N Gales, DW Johnston, AS Friedlaender Biological Conservation 210, 184-191, 2017 | 66 | 2017 |
| A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh, SJ Graves, ... Elife 10, e62922, 2021 | 62* | 2021 |
| Global mammal beta diversity shows parallel assemblage structure in similar but isolated environments C Penone, BG Weinstein, CH Graham, TM Brooks, C Rondinini, ... Proceedings of the Royal Society B: Biological Sciences 283 (1837), 20161028, 2016 | 60 | 2016 |
| Geography of current and future global mammal extinction risk AD Davidson, KT Shoemaker, B Weinstein, GC Costa, TM Brooks, ... PLoS One 12 (11), e0186934, 2017 | 58 | 2017 |
| Scene‐specific convolutional neural networks for video‐based biodiversity detection BG Weinstein Methods in Ecology and Evolution 9 (6), 1435-1441, 2018 | 47 | 2018 |
| Towards a predictive model of species interaction beta diversity CH Graham, BG Weinstein Ecology letters 21 (9), 1299-1310, 2018 | 36 | 2018 |
| Dynamic foraging of a top predator in a seasonal polar marine environment BG Weinstein, AS Friedlaender Oecologia 185 (3), 427-435, 2017 | 35 | 2017 |
| A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network BG Weinstein, SJ Graves, S Marconi, A Singh, A Zare, D Stewart, ... PLoS computational biology 17 (7), e1009180, 2021 | 33* | 2021 |
| A general deep learning model for bird detection in high‐resolution airborne imagery BG Weinstein, L Garner, VR Saccomanno, A Steinkraus, A Ortega, ... Ecological Applications 32 (8), e2694, 2022 | 30 | 2022 |
| Continental-scale hyperspectral tree species classification in the United States National Ecological Observatory Network S Marconi, BG Weinstein, S Zou, SA Bohlman, A Zare, A Singh, D Stewart, ... Remote Sensing of Environment 282, 113264, 2022 | 28 | 2022 |
| On comparing traits and abundance for predicting species interactions with imperfect detection BG Weinstein, CH Graham Food Webs 11, 17-25, 2017 | 27 | 2017 |
Catherine H. GrahamSwiss Federal Research Institute (WSL)在 wsl.ch 的电子邮件经过验证
