APA (7th ed.) Citation

Jia, H., Yang, Y., Wang, Z., Zeng, X., He, Y., Bai, Z., & Liu, Y. (2025). Deformation prediction for the Yuka mining area based on LICSBAS using a velocity-neighborhood spatial algorithm combined with a temporal graph convolutional network (T-GCN). IEEE journal of selected topics in applied earth observations and remote sensing, 1-16. https://doi.org/10.1109/JSTARS.2025.3634600

Chicago Style (17th ed.) Citation

Jia, Hongguo, Yang Yang, Zhiwei Wang, Xin Zeng, Yujun He, Zhenghang Bai, and Yuchen Liu. "Deformation Prediction for the Yuka Mining Area Based on LICSBAS Using a Velocity-neighborhood Spatial Algorithm Combined with a Temporal Graph Convolutional Network (T-GCN)." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025: 1-16. https://doi.org/10.1109/JSTARS.2025.3634600.

MLA (9th ed.) Citation

Jia, Hongguo, et al. "Deformation Prediction for the Yuka Mining Area Based on LICSBAS Using a Velocity-neighborhood Spatial Algorithm Combined with a Temporal Graph Convolutional Network (T-GCN)." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, pp. 1-16, https://doi.org/10.1109/JSTARS.2025.3634600.