1. Syiemlieh, R., & Saikia, E. (2024). Can cloud images help in predicting geomagnetic storms?Journal of Atmospheric and Solar-Terrestrial Physics, 256, 106186. doi:https://doi.org/10.1016/j.jastp.2024.106186
2. Syiemlieh, R., Saleh, P. R., Hazarika, D., & Saikia, E. (2023). An innovative tool for automating classification of stellar variability through nonlinear data analytics. Astronomy and Computing, 45, 100763. doi:https://doi.org/10.1016/j.ascom.2023.100763
3. Syiemlieh, R., Adhikary, M., Panigrahi, P. K., & Saikia, E. (2022). Analyzing Dominant 13.5 and 27 day Periods of Solar Terrestrial Interaction: A New Insight into Solar Cycle Activities. Research in Astronomy and Astrophysics, 22(8), 085005. doi:https://doi.org/10.1088/1674-4527/ac7129
4. Kakoti, P., Syiemlieh, R., & Saikia, E. (2021b). New tool for detection and prediction of major depressive disorder. Advances in Cognitive Psychology, 17(4), 284–291.doi:https://doi.org/10.5709/acp-0337-4
5. Kakoti, P., Syiemlieh, R., & Saikia, E. (2021a). Detection, prediction & intervention of attention deficiency in the brain using tdcs. In Machine learning for healthcare applications (pp. 121–135). doi:https://doi.org/10.1002/9781119792611.ch8
Stellar Astrophysics, Astro-Statistics, Data-Science, Non-linear Dynamical Theory and Atmospheric Variability