John Y. H. Soo

Cited by

	All	Since 2019
Citations	173	159
h-index	3	3
i10-index	3	3

201720182019202020212022202320241 11 11 21 33 42 37 15

Public access

View all

4 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Benjamin JoachimiProfessor of Astrophysics, University College LondonVerified email at ucl.ac.uk
Martin MaklerInternational Center for Advanced Studies, ICIFI, UNSAM & Brazilian Center for Physics ResearchVerified email at cbpf.br
Ofer LahavPerren Professor of Astronomy, University College LondonVerified email at ucl.ac.uk
Huanyuan ShanShanghai Astronomical ObservatoryVerified email at shao.ac.cn
Maria E. S. PereiraUniversity of HamburgVerified email at hs.uni-hamburg.de
Ludovic Van WaerbekeUniversity of British ColumbiaVerified email at phas.ubc.ca
Bruno MoraesUniversidade Federal do Rio de Janeiro, Instituto de FísicaVerified email at if.ufrj.br
Ramon MiquelICREA Research Professor, IFAE Barcelona, SpainVerified email at ifae.es
Francisco Javier CastanderInstitut de Ciencies de l'Espai, IEEC-CSIC, BarcelonaVerified email at ice.cat
Juan Garcia-BellidoProfessor of Physics. Instituto de Fisica Teorica UAMVerified email at uam.es
Enrique GaztanagaProfesor CSIC (Institut de Ciències de l'Espai CSIC IEEC)Verified email at ice.cat
Hendrik HildebrandtRuhr-Universität BochumVerified email at astro.rub.de
Ricard CasasInstitute of Space Science (ICE, CSIC) & Institut d'Estudis Espacials de Catalunya (IEEC)Verified email at ice.cat
Henk HoekstraProfessor of Astronomy, Leiden UniversityVerified email at strw.leidenuniv.nl
Jorge CarreteroInstitut de Física d'altes EnergíesVerified email at pic.es

John Y. H. Soo

Senior Lecturer, Universiti Sains Malaysia

Verified email at usm.my - Homepage

cosmology photometric redshift machine learning missing data problems modified gravity models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST) SJ Schmidt, AI Malz, JYH Soo, IA Almosallam, M Brescia, S Cavuoti, ... Monthly Notices of the Royal Astronomical Society 499 (2), 1587-1606, 2020	97	2020
Morpho-z: improving photometric redshifts with galaxy morphology JYH Soo, B Moraes, B Joachimi, W Hartley, O Lahav, A Charbonnier, ... Monthly Notices of the Royal Astronomical Society 475 (3), 3613-3632, 2018	58	2018
The PAU Survey: narrow-band photometric redshifts using Gaussian processes JYH Soo, B Joachimi, M Eriksen, M Siudek, A Alarcon, L Cabayol, ... Monthly Notices of the Royal Astronomical Society 503 (3), 4118-4135, 2021	17	2021
Machine learning applications in astrophysics: Photometric redshift estimation JYH Soo, IYKA Shuaili, IM Pathi AIP Conference Proceedings 2756 (1), 2023	1	2023
Characterising solar magnetic reconnection in confined and eruptive flares K Balamuralikrishna, JYH Soo, N Mohamed Tahrin, AH Abdul Aziz Astrophysics and Space Science 368 (11), 94, 2023		2023
Improving Photometric Redshifts by Merging Probability Density Functions from Template-Based and Machine Learning Algorithms IYK Alshuaili, JYH Soo, MZ Mat Jafri, Y Rafid Astronomy Letters 48 (11), 665-675, 2022		2022
Characterising improvements in photometric redshift probability density functions with galaxy morphology JYH Soo, B Joachimi AIP Conference Proceedings 2319 (1), 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–7

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors