Publications en collaboration avec des chercheurs de Chinese Academy of Sciences (22)

2023

  1. Gaia Data Release 3: Chemical cartography of the Milky Way

    Astronomy and Astrophysics, Vol. 674

  2. Gaia Data Release 3: Exploring and mapping the diffuse interstellar band at 862 nm

    Astronomy and Astrophysics, Vol. 674

  3. Gaia Data Release 3: Mapping the asymmetric disc of the Milky Way

    Astronomy and Astrophysics, Vol. 674

  4. Gaia Data Release 3: Pulsations in main sequence OBAF-type stars

    Astronomy and Astrophysics, Vol. 674

  5. Gaia Data Release 3: Reflectance spectra of Solar System small bodies

    Astronomy and Astrophysics, Vol. 674

  6. Gaia Data Release 3: Stellar multiplicity, a teaser for the hidden treasure

    Astronomy and Astrophysics, Vol. 674

  7. Gaia Data Release 3: Summary of the content and survey properties

    Astronomy and Astrophysics, Vol. 674

  8. Gaia Data Release 3: The Galaxy in your preferred colours: Synthetic photometry from Gaia low-resolution spectra

    Astronomy and Astrophysics, Vol. 674

  9. Gaia Data Release 3: The extragalactic content

    Astronomy and Astrophysics, Vol. 674

  10. Gaia Focused Product Release: Asteroid orbital solution: Properties and assessment

    Astronomy and Astrophysics, Vol. 680

  11. Gaia Focused Product Release: Radial velocity time series of long-period variables

    Astronomy and Astrophysics, Vol. 680

  12. Gaia Focused Product Release: Sources from Service Interface Function image analysis: Half a million new sources in omega Centauri

    Astronomy and Astrophysics, Vol. 680

  13. Gaia Focused Product Release: Spatial distribution of two diffuse interstellar bands

    Astronomy and Astrophysics, Vol. 680

2022

  1. Gaia Early Data Release 3: The celestial reference frame (Gaia-CRF3)

    Astronomy and Astrophysics, Vol. 667

  2. Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 83-102

  3. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 103-139

  4. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 65-81