Digital quantification method for sensitive point-of-care detection of salivary uric acid using smartphone-assisted μPADs K Fan, J Zeng, C Yang, G Wang, K Lian, X Zhou, Y Deng, G Liu ACS sensors 7 (7), 2049-2057, 2022 | 54 | 2022 |
Recent advances in artificial intelligence boosting materials design for electrochemical energy storage X Liu, K Fan, X Huang, J Ge, Y Liu, H Kang Chemical Engineering Journal, 151625, 2024 | 21 | 2024 |
Advances in BBB on chip and application for studying reversible opening of blood–brain barrier by sonoporation Y Cai, K Fan, J Lin, L Ma, F Li Micromachines 14 (1), 112, 2022 | 13 | 2022 |
Single-atom-based nanoenzyme in tissue repair Z Fu, K Fan, X He, Q Wang, J Yuan, KS Lim, JN Tang, F Xie, X Cui ACS nano 18 (20), 12639-12671, 2024 | 11 | 2024 |
Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics K Fan, W Liu, Y Miao, Z Li, G Liu Advanced Intelligent Systems 5 (6), 2200285, 2023 | 9 | 2023 |
Salivary diagnostics: Opportunities and challenges Y Li, Y Ou, K Fan, G Liu Theranostics 14 (18), 6969, 2024 | 2 | 2024 |
Machine-learning-based colorimetric sensor on smartphone for salivary uric acid detection W Liu, S Liu, K Fan, Z Li, Z Guo, D Cheng, G Liu IEEE Sensors Journal, 2024 | 1 | 2024 |