| Recent progress in smart electronic nose technologies enabled with machine learning methods Z Ye, Y Liu, Q Li Sensors 21 (22), 7620, 2021 | 105 | 2021 |
| Target detection, positioning and tracking using new UAV gas sensor systems: Simulation and analysis H Yuan, C Xiao, W Zhan, Y Wang, C Shi, H Ye, K Jiang, Z Ye, C Zhou, ... Journal of Intelligent & Robotic Systems 94, 871-882, 2019 | 45 | 2019 |
| Precise detection and quantitative prediction of blood glucose level with an electronic nose system Z Ye, J Wang, H Hua, X Zhou, Q Li IEEE Sensors Journal 22 (13), 12452-12459, 2022 | 27 | 2022 |
| A hierarchical vision-based UAV localization for an open landing H Yuan, C Xiao, S Xiu, W Zhan, Z Ye, F Zhang, C Zhou, Y Wen, Q Li Electronics 7 (5), 68, 2018 | 27 | 2018 |
| Toward accurate odor identification and effective feature learning with an AI-empowered electronic nose Z Ye, Y Li, R Jin, Q Li IEEE Internet of Things Journal 11 (3), 4735-4746, 2023 | 10 | 2023 |
| Precise identification of food smells to enable human–computer interface for digital smells Y Li, Z Ye, Q Li Electronics 12 (2), 418, 2023 | 6 | 2023 |
| A hierarchical vision-based localization of rotor unmanned aerial vehicles for autonomous landing H Yuan, C Xiao, S Xiu, W Zhan, Z Ye, F Zhang, C Zhou, Y Wen, Q Li International Journal of Distributed Sensor Networks 14 (9), 1550147718800655, 2018 | 5 | 2018 |
| Gas Sensor Fusion for Intelligent Electronic Nose Z Ye George Mason University, 2021 | | 2021 |
| Open Landing H Yuan, C Xiao, S Xiu, W Zhan, Z Ye Nanoelectronic Materials, Devices and Modeling, 219, 2019 | | 2019 |
