| Modeling and prediction of soil organic matter content based on visible-near-Infrared spectroscopy C Li, J Zhao, Y Li, Y Meng, Z Zhang Forests 12 (12), 1809, 2021 | 15 | 2021 |
| Responses of soil respiration and its sensitivities to temperature and precipitation: A meta-analysis Z Zhang, Y Li, RA Williams, Y Chen, R Peng, X Liu, Y Qi, Z Wang Ecological Informatics 75, 102057, 2023 | 11 | 2023 |
| Algorithm of stability-analysis-based feature selection for NIR calibration transfer Z Zhang, Y Li, C Li, Z Wang, Y Chen Sensors 22 (4), 1659, 2022 | 7 | 2022 |
| Modeling of soluble solid content of PE‐packaged blueberries based on near‐infrared spectroscopy with back propagation neural network and partial least squares (BP–PLS) algorithm Y Chen, Y Li, RA Williams, Z Zhang, R Peng, X Liu, T Xing Journal of Food Science 88 (11), 4602-4619, 2023 | 5 | 2023 |
| Prediction approach of larch wood density from visible–near-infrared spectroscopy based on parameter calibrating and transfer learning Z Zhang, Y Li, Y Li Frontiers in Plant Science 13, 1006292, 2022 | 5 | 2022 |
| Thinning effects on stand structure and carbon content of secondary forests Z Wang, Y Li, Y Meng, C Li, Z Zhang Forests 13 (4), 512, 2022 | 4 | 2022 |
| Mechanical Property Prediction of Larix gmelinii Wood Based on Vis-Near-Infrared Spectroscopy C Li, Y Li, Y Zhao, Z Zhang, Z Wang Forests 13 (12), 1995, 2022 | 3 | 2022 |
| Individual Tree Species Identification for Complex Coniferous and Broad-Leaved Mixed Forests Based on Deep Learning Combined with UAV LiDAR Data and RGB Images H Zhong, Z Zhang, H Liu, J Wu, W Lin Forests 15 (2), 293, 2024 | 1 | 2024 |
| Drivers of spatial structure in thinned forests Z Wang, Y Li, G Wang, Z Zhang, Y Chen, X Liu, R Peng Forest Ecosystems 11, 100182, 2024 | 1 | 2024 |
| NIR Model Optimization Study of Larch Wood Density Based on IFSR Abnormal Sample Elimination Z Zhe-yu, L Yao-xiang, W Zhi-yuan, L Chun-xu Spectroscopy and Spectral Analysis 42 (11), 3395-3402, 2022 | 1 | 2022 |
| NIR Inversion Model of Larch Wood Density at Different Moisture Contents Based on MVO-BPNN Z Wang, Z Zhang, RA Williams, Y Li Journal of Applied Spectroscopy 91 (2), 472-479, 2024 | | 2024 |
| Predicting components of pulpwood feedstock for different physical forms and tree species using NIR spectroscopy and transfer learning Z Zhang, H Zhong, Y Li, RA Williams, R Peng, Y Chen, X Liu Cellulose 31 (1), 551-566, 2024 | | 2024 |
| Stand structure dynamics and effect evaluation after thinning Z Wang, Y Li, RA Williams, Z Zhang, G Xie | | 2023 |
Roger Allen WilliamsAssociate Professor of Forestry, The Ohio State University在 osu.edu 的电子邮件经过验证
Roger Allen WilliamsAssociate Professor of Forestry, The Ohio State University在 osu.edu 的电子邮件经过验证