Data Driven Approaches for the Prediction of Earth's Effective Angular Momentum Functions. - Mostafa Kiani Shahvandi; Junyang Gou; Matthias Schartner; Benedikt Soja (IGARSS, 2022)

Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches. - Junyang Gou; Christine Rösch; Endrit Shehaj; Kangkang Chen; Mostafa Kiani Shahvandi; Benedikt Soja; Markus Rothacher (Remote. Sens., 2023)

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning. - Junyang Gou; Arnt-Børre Salberg; Mostafa Kiani Shahvandi; Mohammad J. Tourian; Ulrich Meyer 005; Eva Boergens; Anders U. Waldeland; Isabella Velicogna; Fredrik Dahl; Adrian Jäggi; Konrad Schindler; Benedikt Soja (CoRR, 2024)

A New Deep-Learning-Assisted Global Water Vapor Stratification Model for GNSS Meteorology: Validations and Applications. - Wenyuan Zhang 003; Junyang Gou; Gregor Moeller; Shubi Zhang; Yu Gao; Nandi Wang; Benedikt Soja (IEEE Trans. Geosci. Remote. Sens., 2024)