| Ultra-short-term prediction of LOD using LSTM neural networks J Gou, M Kiani Shahvandi, R Hohensinn, B Soja Journal of Geodesy 97 (5), 52, 2023 | 36 | 2023 |
| Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms J Gou, B Soja Nature Water 2 (2), 139-150, 2024 | 20 | 2024 |
| Data driven approaches for the prediction of Earth's effective angular momentum functions MK Shahvandi, J Gou, M Schartner, B Soja IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 18 | 2022 |
| Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign J Śliwińska-Bronowicz, T Kur, M Wińska, H Dobslaw, J Nastula, A Partyka, ... Journal of Geodesy 98 (3), 22, 2024 | 12 | 2024 |
| Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches J Gou, C Rösch, E Shehaj, K Chen, M Kiani Shahvandi, B Soja, ... Remote Sensing 15 (23), 5585, 2023 | 12 | 2023 |
| The new geodetic prediction center at ETH Zurich B Soja, M Kiani Shahvandi, M Schartner, J Gou, G Kłopotek, L Crocetti, ... EGU General Assembly Conference Abstracts, EGU22-9285, 2022 | 8 | 2022 |
| Operational forecasting of effective angular momentum functions fourteen days ahead MK Shahvandi, M Schartner, J Gou, B Soja | 7* | 2024 |
| RiwiSAR-SWH: A data-driven method for estimating significant wave height using Sentinel-3 SAR altimetry J Gou, MJ Tourian Advances in Space Research 69 (5), 2061-2080, 2022 | 5 | 2022 |
| EOP predictions collected during the operational phase of the Second Earth Orientation Parameters Prediction Comparison Campaign J Śliwińska, H Dobslaw, T Kur, J Nastula, M Wińska, A Partyka, S Belda, ... GFZ Data Services, 2023 | 4 | 2023 |
| Prospects of predicting the polar motion based on the results of the second earth orientation parameters prediction comparison campaign T Kur, J Śliwińska‐Bronowicz, M Wińska, H Dobslaw, J Nastula, A Partyka, ... Earth and Space Science 11 (11), e2023EA003278, 2024 | 3 | 2024 |
| Deep quantum learning with long short-term memory for geodetic time series prediction: Application to length of day prediction MK Shahvandi, J Gou, B Soja Authorea Preprints, 2022 | 3* | 2022 |
| Downscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion J Gou, L Börger, M Schindelegger, B Soja Journal of Geodesy 99 (2), 19, 2025 | 2 | 2025 |
| A New Deep Learning-Assisted Global Water Vapor Stratification Model for GNSS Meteorology: Validations and Applications W Zhang, J Gou, G Möller, S Zhang, Y Gao, N Wang, B Soja IEEE Transactions on Geoscience and Remote Sensing, 2024 | 2 | 2024 |
| Findings on celestial pole offsets predictions in the second earth orientation parameters prediction comparison campaign (2nd EOP PCC) M Wińska, T Kur, J Śliwińska-Bronowicz, J Nastula, H Dobslaw, A Partyka, ... Earth, Planets and Space 76 (1), 100, 2024 | 1 | 2024 |
| GRACE-SeDA: A global total water storage anomaly product with a spatial resolution of 0.5 degrees from self-supervised data assimilation J Gou, B Soja ETH Zurich, 2023 | 1 | 2023 |
| Comparison of machine-learning-based predictions of Earth orientation parameters using different input data B Soja, M Kiani Shahvandi, M Schartner, J Gou Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP …, 2023 | 1 | 2023 |
| Assessment of Ocean Bottom Pressure Variations in CMIP6 HighResMIP Simulations L Liu, M Schindelegger, L Börger, J Foth, J Gou EGUsphere 2025, 1-24, 2025 | | 2025 |
| Uncertainties of Satellite-based Essential Climate Variables from Deep Learning J Gou, AB Salberg, MK Shahvandi, MJ Tourian, U Meyer, E Boergens, ... arXiv preprint arXiv:2412.17506, 2024 | | 2024 |
| Transferring the High Spatial Information from GRACE Monthly TWSA Products to Daily Products AR Dombos, J Gou, S Behzadpour, B Soja 22nd Swiss Geoscience Meeting (SGM 2024), 2024 | | 2024 |
| Machine learning-based prediction of geodetic variables at the Geodetic Prediction Center of ETH Zurich B Soja, L Crocetti, J Gou, M Iten, M Kiani Shahvandi, S Mao, M Schartner Swiss Geoscience Meeting 2024, 2024 | | 2024 |
Benedikt SojaProfessor of Space Geodesy, ETH ZurichEmail confirmado em ethz.ch