| Application of neural network to GNSS-R wind speed retrieval Y Liu, I Collett, YJ Morton IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9756-9766, 2019 | 74 | 2019 |
| ML prediction of global ionospheric TEC maps L Liu, YJ Morton, Y Liu Space Weather 20 (9), e2022SW003135, 2022 | 28 | 2022 |
| Machine Learning Prediction of Storm‐Time High‐Latitude Ionospheric Irregularities From GNSS‐Derived ROTI Maps L Liu, YJ Morton, Y Liu Geophysical Research Letters 48 (20), e2021GL095561, 2021 | 20 | 2021 |
| Automatic detection of ionospheric scintillation-like GNSS satellite oscillator anomaly using a machine-learning algorithm Y Liu, YJ Morton NAVIGATION: Journal of the Institute of Navigation 67 (3), 651-662, 2020 | 20 | 2020 |
| Application of machine learning to the characterization of GPS L1 ionospheric amplitude scintillation Y Liu, YJ Morton, Y Jiao 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 1159-1166, 2018 | 20 | 2018 |
| Supervised machine learning of high rate GNSS velocities for earthquake strong motion signals T Dittmann, Y Liu, Y Morton, D Mencin Journal of Geophysical Research: Solid Earth 127 (11), e2022JB024854, 2022 | 14 | 2022 |
| Detection of coherent GNSS-R measurements using a support vector machine Y Wang, Y Liu, C Roesler, YJ Morton IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 10 | 2020 |
| USRP based OFDM radar systems for doorway detection YX Liu, GY Liang, D Garmatyuk, YTJ Morton 2014 IEEE Radar Conference, 0875-0880, 2014 | 8 | 2014 |
| Improved automatic detection of GPS satellite oscillator anomaly using a machine learning algorithm Y Liu, YJ Morton NAVIGATION: Journal of the Institute of Navigation 69 (1), 2022 | 7 | 2022 |
| Automatic detection of ionospheric scintillationlike GNSS oscillator anomaly using a machine learning algorithm Y Liu, YT Morton Proceedings of the 32nd International Technical Meeting of the Satellite …, 2019 | 6 | 2019 |
| A new method for ocean wind direction retrieval from delay-doppler maps using stare processing and machine learning: Preliminary simulation results I Collett, Y Liu, YJ Morton 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8332 …, 2021 | 5 | 2021 |
| A machine learning framework for real data GNSS-R wind speed retrieval Y Liu, J Wang, I Collett, YJ Morton IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 5 | 2019 |
| Automatic detection of Galileo satellite oscillator anomaly by using a machine learning algorithm KB Wu, Y Liu, Y Morton Proceedings of the 34th International Technical Meeting of the Satellite …, 2021 | 4 | 2021 |
| Machine learning based automatic detection of ionospheric scintillation-like GNSS oscillator anomaly using dual frequency signals Y Liu, YT Morton Proceedings of the 51st Annual Precise Time and Time Interval Systems and …, 2020 | 4 | 2020 |
| Spatiotemporal deep learning network for high-latitude ionospheric phase scintillation forecasting Y Liu, Z Yang, YJ Morton, R Li NAVIGATION: Journal of the Institute of Navigation 70 (4), 2023 | 3 | 2023 |
| Machine learning-based investigation of feature importance for high-latitude ionospheric scintillation forecasting AJ Wu, Y Liu Proceedings of the 2021 International Technical Meeting of The Institute of …, 2021 | 3 | 2021 |
| Improved ocean wind speed retrieval using gnss-r, stare processing, and machine learning SG Anderson, Y Liu, I Collett, YJ Morton IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Time lags between ionospheric scintillation detection at northern auroral latitudes and onset of geomagnetic storms Z Yang, YTJ Morton, Y Liu Journal of Geophysical Research: Space Physics 128 (11), e2023JA031491, 2023 | 1 | 2023 |
| Machine learning prediction of highlatitude ionospheric irregularities from GNSS-derived ROTI maps L Liu, Y Morton, Y Liu Proceedings of the 34th International Technical Meeting of the Satellite …, 2021 | 1 | 2021 |
| Measurement of ionospheric and atmospheric structures using navigation satellite signals captured with software‐defined systems YT Morton, B Bourne, B Breitsch, Y Liu, B Park, C Rino, S Taylor, Y Wang, ... Int. Beacon Satellite Sym, 2019 | 1 | 2019 |
