182 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Guangzhou UniversityCN52 papers
- Chinese Academy of SciencesCN11 papers
- Hunan University of Arts and ScienceCN9 papers
- National Astronomical ObservatoriesCN9 papers
- University of Science and Technology of ChinaCN9 papers
- University of PaduaIT8 papers
- Shanghai Astronomical ObservatoryCN7 papers
- Shanghai Normal UniversityCN7 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT5 papers
- University of Chinese Academy of SciencesCN5 papers
- Kavli Institute for Theoretical SciencesCN4 papers
- Sun Yat-sen UniversityCN4 papers
7 papers · 2 filters
Beamed and unbeamed emission of -ray blazars
Zhiyuan Pei, Junhui Fan, Jianghe Yang +1
A two-component model of radio emission has been used to explain some radio observational properties of Active Galactic Nuclei (AGNs) and, in particular, of blazars. In this work,…
Years Delayed X-ray Afterglows of TDEs Originated from Wind-Torus Interactions
Guobin Mou, Liming Dou, Ning Jiang +8
Tidal disruption events (TDEs) occurred in active galactic nuclei (AGNs) are a special class of sources with outstanding scientific significance. TDEs can generate ultrafast winds,…
The estimation of -ray Doppler factor for Fermi/LAT-detected blazars
Zhiyuan Pei, Junhui Fan, Jianghe Yang +1
Blazars are a subclass of active galactic nuclei (AGNs) with extreme observation properties, which is caused by the beaming effect, expressed by a Doppler factor, in a relativistic…
Revisiting the Relationship between the Long GRB Rate and Cosmic Star Formation History Based on a Large Swift Sample
Jing-Meng Hao, Liang Cao, You-Jun Lu +4
The exact relationship between the long gamma-ray burst (LGRB) rate and the cosmic star formation rate (CSFR) is essential for using LGRBs as cosmological probes. In this work, we…
Efficient Fermi Source Identification with Machine Learning Methods
Hubing Xiao, Haitao Cao, Junhui Fan +3
In this work, Machine Learning (ML) methods are used to efficiently identify the unassociated sources and the Blazar Candidate of Uncertain types (BCUs) in the Fermi-LAT Third Sour…
Further evidences of superluminal AGNs as -ray sources
Hubing Xiao, Junhui Fan, Riccardo Rando +2
In our previous work in Xiao et al. (2019), we suggested that 6 superluminal sources could be gamma-ray candidates, and in fact 5 of them have been confirmed in the fourth Fermi-LA…
Multicolor Optical Monitoring of the Blazar S5 0716+714 from 2017 to 2019
Dingrong Xiong, Jinming Bai, Junhui Fan +7
We continuously monitored the blazar S5 0716+714 in the optical , and bands from Nov. 10, 2017 to Jun. 06, 2019. The total number of observations is 201 nights including…