10 citations as recorded by crossref.

1. Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency Q. Shao et al. https://doi.org/10.1016/j.ecoinf.2025.103216
2. Effects of Climatic Fluctuations on the First Flowering Date and Its Thermal Requirements for 28 Ornamental Plants in Xi’an, China W. Huang et al. https://doi.org/10.3390/horticulturae11070772
3. A comprehensive evaluation framework for climate effect on plant viewing activities X. Gao et al. https://doi.org/10.1007/s00484-025-03029-9
4. Enhancing broad-scale prediction of flowering onset by incorporating spatial heterogeneity in heat accumulation threshold J. Jin et al. https://doi.org/10.1007/s11676-026-02004-3
5. Emerging evidence for delaying effect of winter warming on green-up onset in alpine grasslands on the Tibetan Plateau S. Wu et al. https://doi.org/10.1016/j.agrformet.2025.110586
6. Drought legacies delay spring green-up in northern ecosystems Y. Liu et al. https://doi.org/10.1038/s41558-025-02273-6
7. Spatiotemporal Variations in Vegetation Phenology in the Qinling Mountains and Their Responses to Climate Variability H. Li et al. https://doi.org/10.3390/rs17244051
8. Tree growth response and adaptation to climate change and climate extremes: From canopy to stem F. Yang et al. https://doi.org/10.1111/jipb.70145
9. AI-Powered Plant Science: Transforming Forestry Monitoring, Disease Prediction, and Climate Adaptation Z. Xu & D. Jiang https://doi.org/10.3390/plants14111626
10. Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review M. Debbagh et al. https://doi.org/10.1016/j.plaphe.2025.100089