- Qingyu Sui,Yang Zhao,Yinghui Zhao.Integrating state and process variables to assess the carbon balance of China's terrestrial ecosystems from 2014 to 2023: the CarBalTE framework.[J].荷兰(阿姆斯特丹,Elsevier 出版社总部):Resources, Conservation & Recycling(Q1),2026,234:109054
- Xinbo Wang,Yang Zhao,Yu Han,Yinghui Zhao.Crown-BERT: a crown-morphology-aware deep learning framework for individual tree species classification using UAV LiDAR and hyperspectral data.[J].英国(牛津,Taylor & Francis 出版社总部):GIScience & Remote Sensing (Q1),2026,63(1):2671600
- Yuting Zhao,Zhen Zhen,Zengrui Zhang,Xuebing Guan,Jiayao Wang.Spatial occupancy index of tree crown: Can provide new perspectives for quantifying structural complexity of individual tree crowns.[J].荷兰(阿姆斯特丹):Remote Sensing of Environment (Q1),2026,335:115277
- Qingbin Wei,Miao Li,Zhen Zhen,Shuying Zang,Hongwei Ni,Xingfeng Dong.ForSOC-UA: A Novel Framework for Forest Soil Organic Carbon Estimation and Uncertainty Assessment with Multi-Source Data and Spatial Modeling.[J].瑞士:Remote Sensing(Q1),2026,18:1106
- Yifan Ding,Xinran Huang,Zhen Zhen,Wenxin Zhao.Natural forests show stronger carbon sink resistance to extreme drought than plantations in Northeast China.[J].荷兰(阿姆斯特丹):Agricultural and Forest Meteorology(Q1),2026,387:111266
- Shengheng Liu,Xiang Li.Switcher-HNet: A switchable hierarchical network for tree species classiffcation from forest stand to individual tree tasks:ISPRS Journal of Photogrammetry and Remote Sensing(Q1,TOP),2025,231:329-344
- Jiayu Liu,Haifeng Zou,Yinghui Zhao,Xiaochun Wang,Zhen Zhen*.Unraveling Phenological Dynamics: Exploring Early Springs, Late Autumns, and Climate Drivers Across Different Vegetation Types in Northeast China:Remote Sensing(Q1,IF:4.2),2025,17(11):1853
- Zhen Zhen,Xiang Li,Ye Ma,Yinghui Zhao*,Xiaochun Wang*.A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China:GIScience & Remote Sensing(Q1,IF:6),2025,62(1):2497629
- Ye Ma,Jungho Im,Zhen Zhen*,Yinghui Zhao*.A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests:Geo-spatial Information Science(Q1,IF:4.4),2025,28(1):97-116
- Feiyu Long,Yinghui Zhao,Zhen Zhen*.Improving the Accuracy of Aboveground Biomass Estimation of Natural Secondary Forests Using Individual Tree Features:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium,2024:4226-4229



