| Validation of Himawari-8 aerosol optical depth retrievals over China Z Zhang, W Wu, M Fan, M Tao, J Wei, J Jin, Y Tan, Q Wang Atmospheric environment 199, 32-44, 2019 | 74 | 2019 |
| Evaluation of informative bands used in different PLS regressions for estimating leaf biochemical contents from hyperspectral reflectance J Jin, Q Wang Remote Sensing 11 (2), 197, 2019 | 39 | 2019 |
| Selection of informative spectral bands for PLS models to estimate foliar chlorophyll content using hyperspectral reflectance J Jin, Q Wang IEEE Transactions on Geoscience and Remote Sensing 57 (5), 3064-3072, 2018 | 38 | 2018 |
| Assessing ecological vulnerability in western China based on Time-Integrated NDVI data J Jin, Q Wang Journal of Arid Land 8 (4), 533-545, 2016 | 38 | 2016 |
| Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant J Jin, Q Wang Ecological informatics 35, 1-8, 2016 | 29 | 2016 |
| An increase in nighttime light detected for protected areas in mainland China based on VIIRS DNB data P Xu, Q Wang, J Jin, P Jin Ecological Indicators 107, 105615, 2019 | 27 | 2019 |
| Tracing Leaf Photosynthetic Parameters Using Hyperspectral Indices in an Alpine Deciduous Forest J Jin, B Arief Pratama, Q Wang Remote Sensing 12 (7), 1124, 2020 | 26 | 2020 |
| Leaf transpiration of drought tolerant plant can be captured by hyperspectral reflectance using PLSR analysis Q Wang, J Jin iForest-Biogeosciences and Forestry 9 (1), 30, 2015 | 17 | 2015 |
| Leaf Photosynthetic Capacity of Sunlit and Shaded Mature Leaves in a Deciduous Forest G Song, Q Wang, J Jin Forests 11 (3), 318, 2020 | 15 | 2020 |
| Long-term oscillation of drought conditions in the western China: an analysis of PDSI on a decadal scale J Jin, Q Wang, L Li Journal of Arid Land 8 (6), 819-831, 2016 | 14 | 2016 |
| Exploring the instability of the relationship between maximum potential electron transport rate and maximum carboxylation rate in cool-temperate deciduous forests G Song, Q Wang, J Jin Agricultural and Forest Meteorology 308, 108614, 2021 | 13 | 2021 |
| Tracing water and energy fluxes and reflectance in an arid ecosystem using the integrated model SCOPE J Jin, Q Wang, J Wang, D Otieno Journal of environmental management 231, 1082-1090, 2019 | 13 | 2019 |
| Derivative hyperspectral vegetation indices in characterizing forest biophysical and biochemical quantities Q Wang, J Jin, R Sonobe, JM Chen Hyperspectral Indices and Image Classifications for Agriculture and …, 2018 | 13 | 2018 |
| Selecting informative bands for partial least squares regressions improves their goodness-of-fits to estimate leaf photosynthetic parameters from hyperspectral data J Jin, Q Wang, G Song Photosynthesis Research 151 (1), 71-82, 2022 | 12 | 2022 |
| Informative bands used by efficient hyperspectral indices to predict leaf biochemical contents are determined by their relative absorptions J Jin, Q Wang International journal of applied earth observation and geoinformation 73 …, 2018 | 10 | 2018 |
| Hyperspectral indices developed from the low order fractional derivative spectra can capture leaf dry matter content across a variety of species better J Jin, Q Wang Agricultural and Forest Meteorology 322, 109007, 2022 | 9 | 2022 |
| Temporal instability of partial least squares regressions for estimating leaf photosynthetic traits from hyperspectral information G Song, Q Wang, J Jin Journal of Plant Physiology 279, 153831, 2022 | 7 | 2022 |
| Proximal Remote Sensing-Based Vegetation Indices for Monitoring Mango Tree Stem Sap Flux Density J Jin, N Huang, Y Huang, Y Yan, X Zhao, M Wu Remote Sensing 14 (6), 1483, 2022 | 7 | 2022 |
| Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant J Jin, Q Wang, J Wang Environmental monitoring and assessment 191 (1), 13, 2019 | 7 | 2019 |
| Fractional-Order Derivative Spectral Transformations Improved Partial Least Squares Regression Estimation of Photosynthetic Capacity from Hyperspectral Reflectance G Song, Q Wang, J Jin IEEE Transactions on Geoscience and Remote Sensing, 2023 | 4 | 2023 |
