| Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data Z Zhen, LJ Quackenbush, L Zhang Remote Sensing 8 (4), 333, 2016 | 327 | 2016 |
| Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification Z Zhen, LJ Quackenbush, SV Stehman, L Zhang International Journal of Remote Sensing 34 (19), 6914-6930, 2013 | 89 | 2013 |
| Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data Z Zhen, LJ Quackenbush, SV Stehman, L Zhang International Journal of Remote Sensing 36 (7), 1965-1993, 2015 | 69 | 2015 |
| Impact of tree-oriented growth order in marker-controlled region growing for individual tree crown delineation using airborne laser scanner (ALS) data Z Zhen, LJ Quackenbush, L Zhang Remote Sensing 6 (1), 555-579, 2014 | 69 | 2014 |
| Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018 Q Wei, L Zhang, W Duan, Z Zhen International journal of environmental research and public health 16 (24), 5107, 2019 | 44 | 2019 |
| Geographically local modeling of occurrence, count, and volume of downwood in Northeast China Z Zhen, F Li, Z Liu, C Liu, Y Zhao, Z Ma, L Zhang Applied Geography 37, 114-126, 2013 | 37 | 2013 |
| A region-based hierarchical cross-section analysis for individual tree crown delineation using ALS data Y Zhao, Y Hao, Z Zhen, Y Quan Remote Sensing 9 (10), 1084, 2017 | 28 | 2017 |
| Forest vegetation classification of landsat8 remote sensing image based on random forests model X Zhang, F Li, Z Zhen, Y Zhao J. Northeast. For. Univ 44, 53-57, 2016 | 23 | 2016 |
| Estimation of individual tree biomass in natural secondary forests based on als data and worldview-3 imagery Y Zhao, Y Ma, LJ Quackenbush, Z Zhen Remote Sensing 14 (2), 271, 2022 | 18 | 2022 |
| A graph-based progressive morphological filtering (GPMF) method for generating canopy height models using ALS data Y Hao, Z Zhen, F Li, Y Zhao International Journal of Applied Earth Observation and Geoinformation 79, 84-96, 2019 | 18 | 2019 |
| Spatial hurdle models for predicting the number of children with lead poisoning Z Zhen, L Shao, L Zhang International journal of environmental research and public health 15 (9), 1792, 2018 | 17 | 2018 |
| The Feasibility of Modelling the Crown Profile of Larix olgensis Using Unmanned Aerial Vehicle Laser Scanning Data Y Quan, M Li, Z Zhen, Y Hao, B Wang Sensors 20 (19), 5555, 2020 | 14 | 2020 |
| Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area … Z Zhen, L Yang, Y Ma, Q Wei, HI Jin, Y Zhao GIScience & Remote Sensing 59 (1), 722-743, 2022 | 13 | 2022 |
| The effect of synergistic approaches of features and ensemble learning algorithms on aboveground biomass estimation of natural secondary forests based on ALS and Landsat 8 C Du, W Fan, Y Ma, HI Jin, Z Zhen Sensors 21 (17), 5974, 2021 | 13 | 2021 |
| Interrupted time series analysis of children’s blood lead levels: A case study of lead hazard control program in Syracuse, New York L Shao, L Zhang, Z Zhen PLoS One 12 (2), e0171778, 2017 | 10 | 2017 |
| Bayesian geographically weighted regression and its application for local modeling of relationships between tree variables N Subedi, L Zhang, Z Zhen iForest-Biogeosciences and Forestry 11 (5), 542, 2018 | 9 | 2018 |
| Spatiotemporal Heterogeneity and the Key Influencing Factors of PM2.5 and PM10 in Heilongjiang, China from 2014 to 2018 L Fu, Q Wang, J Li, H Jin, Z Zhen, Q Wei International journal of environmental research and public health 19 (18), 11627, 2022 | 7 | 2022 |
| Global and geographically weighted quantile regression for modeling the incident rate of children’s lead poisoning in Syracuse, NY, USA Z Zhen, Q Cao, L Shao, L Zhang International journal of environmental research and public health 15 (10), 2300, 2018 | 7 | 2018 |
| Trends in automatic individual tree crown detection and delineation—evolution of LiDAR data. Remote Sens [Basel] 8 (4): 333 Z Zhen, LJ Quackenbush, L Zhang | 7 | 2016 |
| Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian … M Wang, J Im, Y Zhao, Z Zhen Remote Sensing 14 (17), 4361, 2022 | 6 | 2022 |
