| Spatiotemporal fusion of multisource remote sensing data: Literature survey, taxonomy, principles, applications, and future directions X Zhu, F Cai, J Tian, TKA Williams Remote Sensing 10 (4), 527, 2018 | 449 | 2018 |
| Coarse-resolution satellite images overestimate urbanization effects on vegetation spring phenology J Tian, X Zhu, J Wu, M Shen, J Chen Remote Sensing 12 (1), 117, 2020 | 51 | 2020 |
| Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency J Tian, X Zhu, J Chen, C Wang, M Shen, W Yang, X Tan, S Xu, Z Li ISPRS Journal of Photogrammetry and Remote Sensing 180, 29-44, 2021 | 45 | 2021 |
| Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications X Ma, X Zhu, Q Xie, J Jin, Y Zhou, Y Luo, Y Liu, J Tian, Y Zhao Global Change Biology 28 (24), 7186-7204, 2022 | 40 | 2022 |
| Investigating the urban-induced microclimate effects on winter wheat spring phenology using Sentinel-2 time series J Tian, X Zhu, Z Shen, J Wu, S Xu, Z Liang, J Wang Agricultural and Forest Meteorology 294, 108153, 2020 | 29 | 2020 |
| Spatially explicit modeling of 2019-nCoV epidemic trend based on mobile phone data in mainland China X Zhu, A Zhang, S Xu, P Jia, X Tan, J Tian, T Wei, Z Quan, J Yu MedRxiv, 2020.02. 09.20021360, 2020 | 28 | 2020 |
| The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery S Xu, X Zhu, EH Helmer, X Tan, J Tian, X Chen International Journal of Applied Earth Observation and Geoinformation 104 …, 2021 | 24 | 2021 |
| Characterization of dry-season phenology in tropical forests by reconstructing cloud-free Landsat time series X Zhu, EH Helmer, D Gwenzi, M Collin, S Fleming, J Tian, ... Remote Sensing 13 (23), 4736, 2021 | 23 | 2021 |
| Impacts of satellite revisit frequency on spring phenology monitoring of deciduous broad-leaved forests based on vegetation index time series J Tian, X Zhu, L Wan, M Collin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 13 | 2021 |
| Fusing or filling: Which strategy can better reconstruct high-quality fine-resolution satellite time series? H Shu, S Jiang, X Zhu, S Xu, X Tan, J Tian, YN Xu, J Chen Science of Remote Sensing 5, 100046, 2022 | 12 | 2022 |
| Mapping the global distribution of C4 vegetation using observations and optimality theory X Luo, H Zhou, TW Satriawan, J Tian, R Zhao, TF Keenan, DM Griffith, ... Nature Communications 15 (1), 1219, 2024 | 10 | 2024 |
| Conflicting changes of vegetation greenness interannual variability on half of the global vegetated surface J Tian, X Luo Earth's Future 12 (5), e2023EF004119, 2024 | 5 | 2024 |
| Slower changes in vegetation phenology than precipitation seasonality in the dry tropics J Tian, X Luo, H Xu, JK Green, H Tang, J Wu, S Piao Global Change Biology 30 (1), e17134, 2024 | 5 | 2024 |
| Strong green‐up of tropical Asia during the 2015/16 El Niño TW Satriawan, X Luo, J Tian, K Ichii, L Juneng, M Kondo Geophysical Research Letters 51 (8), e2023GL106955, 2024 | 3 | 2024 |
| Effectiveness of spatiotemporal data fusion in fine-scale land surface phenology monitoring: A simulation study J Tian, X Zhu, M Shen, J Chen, R Cao, Y Qiu, YN Xu Journal of Remote Sensing, 2024 | 2 | 2024 |
| Seasonality of vegetation greenness in Southeast Asia unveiled by geostationary satellite observations J Tian, X Luo, W Wang, L Yu, DTT Ng, K Ichii, Y Zhang, X Zhang Remote Sensing of Environment 319, 114648, 2025 | | 2025 |
| Spectrotemporal fusion: Generation of frequent hyperspectral satellite imagery S Zhao, X Zhu, X Tan, J Tian Remote Sensing of Environment 319, 114639, 2025 | | 2025 |
