| Important LiDAR metrics for discriminating forest tree species in Central Europe Y Shi, T Wang, AK Skidmore, M Heurich ISPRS Journal of Photogrammetry and remote sensing 137, 163-174, 2018 | 133 | 2018 |
| Tree species classification using plant functional traits from LiDAR and hyperspectral data Y Shi, AK Skidmore, T Wang, S Holzwarth, U Heiden, N Pinnel, X Zhu, ... International Journal of Applied Earth Observation and Geoinformation 73 …, 2018 | 121 | 2018 |
| Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest X Zhu, AK Skidmore, R Darvishzadeh, KO Niemann, J Liu, Y Shi, T Wang International journal of applied earth observation and geoinformation 64, 43-50, 2018 | 92 | 2018 |
| Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning X Zhu, AK Skidmore, T Wang, J Liu, R Darvishzadeh, Y Shi, J Premier, ... Agricultural and forest meteorology 263, 276-286, 2018 | 82 | 2018 |
| Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics J Liu, AK Skidmore, S Jones, T Wang, M Heurich, X Zhu, Y Shi ISPRS journal of photogrammetry and remote sensing 136, 13-25, 2018 | 77 | 2018 |
| Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs Y Shi, T Wang, AK Skidmore, M Heurich International Journal of Applied Earth Observation and Geoinformation 84, 101970, 2020 | 39 | 2020 |
| Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest Y Shi, T Wang, AK Skidmore, S Holzwarth, U Heiden, M Heurich International Journal of Applied Earth Observation and Geoinformation 98, 102311, 2021 | 21 | 2021 |
| Notebook‐as‐a‐VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment Z Zhao, S Koulouzis, R Bianchi, S Farshidi, Z Shi, R Xin, Y Wang, N Li, ... Software: Practice and Experience 52 (9), 1947-1966, 2022 | 17 | 2022 |
| Laserfarm–a high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds WD Kissling, Y Shi, Z Koma, C Meijer, O Ku, F Nattino, ... Ecological Informatics 72, 101836, 2022 | 11 | 2022 |
| Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey WD Kissling, Y Shi, Z Koma, C Meijer, O Ku, F Nattino, ... Data in Brief 46, 108798, 2023 | 5 | 2023 |
| Scaling notebooks as re-configurable cloud workflows Y Wang, S Koulouzis, R Bianchi, N Li, Y Shi, J Timmermans, WD Kissling, ... Data Intelligence 4 (2), 409-425, 2022 | 4 | 2022 |
| Enabling" LiDAR data processing" as a service in a Jupyter environment S Koulouzis, Y Shi, Y Wan, R Bianchi, D Kissling, Z Zhao EGU General Assembly Conference Abstracts, EGU21-8294, 2021 | 2 | 2021 |
| Which metrics derived from airborne laser scanning are essential to measure the vertical profile of ecosystems? WD Kissling, Y Shi Diversity and Distributions 29 (10), 1315-1320, 2023 | 1 | 2023 |
| Remotely sensing the species of individual trees Y Shi | 1 | 2020 |
| Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging Y Shi, WD Kissling GIScience & Remote Sensing 60 (1), 2260637, 2023 | | 2023 |
| Generating geospatial data products of ecosystem structure from LiDAR using Notebook-as-a-VRE (NaaVRE) Y Shi, S Koulouzis, R Bianchi, J Timmermans, WD Kissling, Z Zhao EGU General Assembly Conference Abstracts, EGU-11716, 2023 | | 2023 |
| Featured Cover J Zhao, F Yuan, F Fu, Y Liu, C Xue, K Wang, X Yuan, D Li, Q Liu, W Zhang, ... The Journal of Clinical Hypertension 23 (1), i-i, 2021 | | 2021 |
| Int J Appl Earth Obs Geoinformation Y Shi, T Wang, AK Skidmore, M Heurich | | |
