204 citations · 1.7k across the 72 of their papers we have counts for
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astro-ph.GA2018★ 58 cited
A Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected From The Best-Heckman Sample
Zhixian Ma, Haiguang Xu, Jie Zhu +8
We present a morphological classification of 14,245 radio active galactic nuclei (AGNs) into six types, i.e., typical Fanaroff--Riley Class I / II (FRI/II), FRI/II-like bent-tailed…
astro-ph.HE2018★ 5 cited
A Study of the Merger History of the Galaxy Group HCG 62 Based on X-Ray Observations and SPH Simulations
Dan Hu, Haiguang Xu, Xi Kang +9
We choose the bright compact group HCG 62, which was found to exhibit both excess X-ray emission and high Fe abundance to the southwest of its core, as an example to study the impa…
cs.CV2018★ 1 cited
Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models
Zhixian Ma, Jie Zhu, Weitian Li +1
The morphology of a radio galaxy is highly affected by its central active galactic nuclei (AGN), which is studied to reveal the evolution of the super massive black hole (SMBH). In…