1.     Gai, D., Feng, R., Min, W., Yang, X., Su, P., Wang, Q., & Han, Q. (2023). Spatiotemporal learning transformer for video-based human pose estimation. IEEE Transactions on Circuits and Systems for Video Technology, 33(9), 4564-4576. （中科院一区，CCF-B类期刊，普通作者）

2.     Chen, H., Hu, J., Zhang, W., & Su, P. (2023). Spatiotemporal consistency learning from momentum cues for human motion prediction. IEEE Transactions on Circuits and Systems for Video Technology, 33(9), 4577-4587. （中科院一区，CCF-B类期刊，普通作者）

3.     Gai, D., Zhang, J., Xiao, Y., Min, W., Chen, H., Wang, Q., Su, P., & Huang, Z. (2023). GL-Segnet: Global-Local representation learning net for medical image segmentation. Frontiers in Neuroscience, 17, 1153356. （中科院三区，普通作者）

4.     Su, P., Shen, X., Chen, H., Gai, D., & Liu, Y. (2023). M-AResNet: a novel multi-scale attention residual network for melting curve image classification. Multimedia Tools and Applications, 82(27), 42961-42976.（中科院四区，CCF-C类期刊，第一作者）

5.     Peng, X. Y., Su, P., Guo, Y., Zhang, J., Peng, L., & Zhang, R. (2023). A Microfluidic Experimental Method for Studying Cell-to-Cell Exosome Delivery–Taking Stem Cell–Tumor Cell Interaction as a Case. International Journal of Molecular Sciences, 24(17), 13419. （中科院二区，普通作者）

6.     Gai, D., Luo, H., He, J., Su, P., Huang, Z., Zhang, S., & Tu, Z. (2023). MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation. KSII Transactions on Internet & Information Systems, 17(9). （中科院四区，普通作者）