[1] Changchen Zhao, Shunhao Zhang, Pengcheng Cao, et al., Pruning remote photoplethysmography networks using weight-gradient joint criterion, Expert Systems With Applications, 282:127623, 2025 (IF: 7.5)
[2] Changchen Zhao, Pengcheng Cao, Meng Hu, et al., WTC3D: An Efficient Neural Network for Noncontact Pulse Acquisition in Internet of Medical Things, IEEE Transactions on Industrial Informatics, 21(2):1547-1556, 2025 (IF: 11.7)
[3] Changchen Zhao, Kai Liu, et al., Cross-Modality Self-Attention and Fusion-Based Neural Network for Lower Limb Locomotion Mode Recognition, IEEE Transactions on Automation Science and Engineering, 22:5411-5424, 2024 (IF: 5.9)
[4] Bin Huang, Shen Hu, Zimeng Liu, Chun-Liang Lin, Junfeng Su, Changchen Zhao, Li Wang, and Wenjin Wang, Challenges and prospects of visual contactless physiological monitoring in clinical study, npj Digital Medicine, DOI: 10.1038/s41746-023-00973-x, 2023 (SCI, IF: 15.2)
[5] Changchen Zhao, Menghao Zhou, Zheng Zhao, et al., Learning spatio-temporal pulse representation with global-local interaction and supervision for remote prediction of heart rate, IEEE Journal of Biomedical and Health Informatics, 28(2):609-620, 2024 (SCI, IF: 7.7, Q1)
[6] Changchen Zhao, Hongsheng Wang, Huiling Chen, Weiwei Shi, Yuanjing Feng, JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-Scale Fusion, IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(6): 2783-2797 (SCI, IF: 8.4, Q1)
[7] Changchen Zhao, Menghao Zhou, Weiran Han, Yuanjing Feng, Anti-motion remote measurement of heart rate based on region proposal generation and multi-scale roi fusion, IEEE Transactions on Instrumentation and Measurement, 71:5012413, 2022 (SCI, IF: 5.6, Q1)
[8] Changchen Zhao, Meng Hu, Feng Ju, Zan Chen, Yongqiang Li, Yuanjing Feng, Convolutiona neural network with spatio-temporal-channel attention for remote heart rate estimation, The Visual Computer, August, 2022
[9] Changchen Zhao, Chun-Liang Lin, Weihai Chen, Jianhua Wang, Visual heart rate estimation and negative feedback control for fitness exercise, Biomedical Signal Processing and Control, 56:101680, 2020 (SCI, IF: 5.1, Q2)