| Small-sized, lightweight, and flexible triboelectric nanogenerator enhanced by PTFE/PDMS nanocomposite electret Z Li, H Li, Y Fan, L Liu, Y Chen, C Zhang, G Zhu ACS applied materials & interfaces 11 (22), 20370-20377, 2019 | 77 | 2019 |
| Nanofiber‐reinforced silver nanowires network as a robust, ultrathin, and conformable epidermal electrode for ambulatory monitoring of physiological signals L Liu, H Li, Y Fan, Y Chen, S Kuang, Z Li, Z Wang, G Zhu Small 15 (22), 1900755, 2019 | 76 | 2019 |
| Large‐scale smart carpet for self‐powered fall detection A Yu, W Wang, Z Li, X Liu, Y Zhang, J Zhai Advanced Materials Technologies 5 (2), 1900978, 2020 | 34 | 2020 |
| Triboelectrification-enabled thin-film tactile matrix for self-powered high-resolution imaging X Zhu, Z Li, X Li, L Su, X Wei, S Kuang, B Su, J Yang, Z Wang, G Zhu Nano Energy 50, 497-503, 2018 | 30 | 2018 |
| Quantifying the CVD-grown two-dimensional materials via image clustering Z Li, J Lee, F Yao, H Sun Nanoscale, 2021 | 13 | 2021 |
| Multiclass reinforced active learning for droplet pinch-off behaviors identification in inkjet printing Z Li, LJ Segura, Y Li, C Zhou, H Sun Journal of Manufacturing Science and Engineering 145 (7), 071002, 2023 | 8 | 2023 |
| Droplet evolution prediction in material jetting via tensor time series analysis LJ Segura, Z Li, C Zhou, H Sun Additive Manufacturing 66, 103461, 2023 | 8 | 2023 |
| A machine learning approach to model the electrospinning process of biocompatible materials JD Toscano, Z Li, LJ Segura, H Sun International Manufacturing Science and Engineering Conference 84263 …, 2020 | 8 | 2020 |
| Reinforced active learning for CVD-grown two-dimensional materials characterization Z Li, F Yao, H Sun IISE Transactions, 1-22, 2023 | 1 | 2023 |
