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S. Wang*, H. Tang, Y. Zhao, and L. Zuo, "BayeStab: Predicting effects of mutations on protein stability with uncertainty quantification," Protein Sci., 31, p. e4467, (2022).(IF 8.0)
S. Wang*, S. Duan, T. Yang, Z. He, Z. Xia, and Y. Zhao, “A self-powered strain sensor utilizing hydrogel-nanosheet composites, Zn foil, and silver-coated nylon,” Sensors and Actuators A: Physical, vol. 364, p. 114824, Dec. 2023, doi: 10.1016/j.sna.2023.114824.
S. Wang*, H. Tang, P. Shan, Z. Wu, and L. Zuo, "ProS-GNN: Predicting effects of mutations on protein stability using graph neural networks," Comput. Biol. Chem., 107, p. 107952, (2023).
S. Wang* and Z. Sun, "Hydrogel and Machine Learning for Soft Robots’Sensing and Signal Processing: A Review," J. Bionic Eng., (2022).
S. Wang*, Z. Sun, S. Duan, Y. Zhao, X. Sha, S. Yu, and L. Zuo, "A Hydrogel-Based Self-Sensing Underwater Actuator," in Micromachines. vol. 13, 2022.
Sun, Z.; Wang, S*.; etal: Discriminating soft actuators’thermal stimuli and mechanical deformation by hydrogel sensors and machine learning. Advanced Intelligent Systems 2022;n/a:2200089. (IF 7.4)
S. Yu, Y. Wu, S. Wang, M. Siedler, P.M. Ihnat, D.I. Filoti, M. Lu and L. Zuo, Biosensors, vol. 12, 2022
Lv, X.; Wang, S*.; Shan, P.; Zhao, Y.; Zuo, L., A machine learning based method for automatic differential scanning calorimetry signal analysis. Measurement 2022, 187, 110218. (IF 5.6)
Lv, X.; Wang, S*.; Zhao, Y.; Shan, P., A reinforcement learning based method for protein’s differential scanning calorimetry signal separation. Measurement 2022, 188, 110391.(IF 5.6)
S. Wang*, Z. Sun, Y. Zhao and L. Zuo, A highly stretchable hydrogel sensor for soft robot multi-modal perception, Sensors and Actuators A: Physical (2021) 113006. (IF4.6)
S., W*.; Z., Z.; Y., Z.; L., Z., A Variational Autoencoder Enhanced Deep Learning Model for Wafer Defect Imbalanced Classification. IEEE Transactions on Components, Packaging and Manufacturing Technology 2021, 1-1.
Wang, S*.; Shan, P.; Zhao, Y.; Zuo, L., GanDTI: A multi-task neural network for drug-target interaction prediction. Comput Biol Chem 2021, 92, 107476.
Wang, S*.; Lv, X.; Yu, S.; Hua, J., Design and optimization of a chip calorimeter for cell metabolism detection. Microsystem Technologies 2020.
Wang, S.; Sha, X.; Yu, S.; Zhao, Y., Nanocalorimeters for biomolecular analysis and cell metabolism monitoring. Biomicrofluidics 2020, 14, (1), 011503.
Yu, S.; Wu, Y.; Wang, S.; Lu, M.; Zuo, L., Thermodynamic analysis of a MEMS based differential scanning calorimeter model. Sensors and Actuators A: Physical 2019, 291, 150-155.
Wang, S.; Yu, S.; Siedler, M.; Ihnat, P.M.; Filoti, D.I.; Lu, M.; Zuo, L., A power compensated differential scanning calorimeter for protein stability characterization. Sensors and Actuators B: Chemical 2018, 256, 946-952. (IF 8.4)
Yu, S.; Wang, S.; Lu, M.; Zuo, L., A novel polyimide based micro heater with high temperature uniformity. Sensors and Actuators A: Physical 2017, 257, 58-64.
Wang, S.; Yu, S.; Lu, M.; Zuo, L., Microfabrication of plastic-PDMS microfluidic devices using polyimide release layer and selective adhesive bonding. J Micromech Microeng 2017, 27, (5), 055015.
Yu, S.; Wang, S.; Lu, M.; Zuo, L., Review of MEMS differential scanning calorimetry for biomolecular study. Frontiers of Mechanical Engineering 2017, 12, (4), 526-538. (IF 4.528)
Wang, S.; Yu, S.; Lu, M.; Liu, M.; Zuo, L., Atomic Layer-Deposited Titanium-Doped Vanadium Oxide Thin Films and Their Thermistor Applications. J Electron Mater 2017, 46, (4), 2153-2157.
Yu, S.; Wang, S.; Lu, M.; Zuo, L., A metal-insulator transition study of VO2 thin films grown on sapphire substrates. J Appl Phys 2017, 122, (23), 235102.
Wang, S.; Yu, S.; Siedler, M.S.; Ihnat, P.M.; Filoti, D.I.; Lu, M.; Zuo, L., Micro-differential scanning calorimeter for liquid biological samples. Rev Sci Instrum 2016, 87, (10), 105005.
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