Junjie Wang

Dr. Junjie Wang

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 October 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
ZGZhaozhao Gao
Zhaozhao Gao
LGLuna Guo
Luna Guo
WJWei Ji
Wei Ji
HXHao Xu
Hao Xu
BABaolin An
Baolin An
JWJunjie Wang
Junjie Wang

1 December 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
BABaolin An
Baolin An
JCJiaxiang Chen
Jiaxiang Chen
ZDZhang Deng
Zhang Deng
TZTao Zhang
Tao Zhang
JWJunjie Wang
Junjie Wang
XCXinjie Chang
Xinjie Chang

1 September 2019 in Energy
Verified
Journal Article
Closed access
JZJianpeng Zheng
Jianpeng Zheng
LCLiubiao Chen
Liubiao Chen
XXXiafan Xu
Xiafan Xu
LGLuna Guo
Luna Guo
YZYuan Zhou
Yuan Zhou
JWJunjie Wang
Junjie Wang

1 December 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
XXXiafan Xu
Xiafan Xu
HXHao Xu
Hao Xu
JZJianpeng Zheng
Jianpeng Zheng
CLChen Liubiao
Chen Liubiao
JWJunjie Wang
Junjie Wang

1 March 2020 in Renewable Energy
Verified
Journal Article
Closed access
JZJianpeng Zheng
Jianpeng Zheng
LCLiubiao Chen
Liubiao Chen
XLXuming Liu
Xuming Liu
HZHonglai Zhu
Honglai Zhu
YZYuan Zhou
Yuan Zhou
JWJunjie Wang
Junjie Wang

14 December 2018 in Astronomy & Astrophysics
Verified
Journal Article
Open access
GZGuo-Yin Zhang
Guo-Yin Zhang
JXJin-Long Xu
Jin-Long Xu
AVAnton I. Vasyunin
Anton I. Vasyunin
DSD. A. Semenov
D. A. Semenov
JWJunjie Wang
Junjie Wang
YGYang Gao
Yang Gao
Aims. We aim to reveal the physical properties and chemical composition of the cores in the California molecular cloud (CMC), so as to better understand the initial conditions of star formation. Methods. We made a high-resolution column density map (18.2′′) with Herschel data, and extracted a complete sample of the cores in the CMC with the fellwalker algorithm. We performed new single-pointing observations of molecular lines near 90 GHz with the IRAM 30m telescope along the main filament of the CMC. In addition, we also performed a numerical modeling of chemical evolution for the cores under the physical conditions. Results. We extracted 300 cores, of which 33 are protostellar and 267 are starless cores. About 51% (137 of 267) of the starless cores are prestellar cores. Three cores have the potential to evolve into high-mass stars. The prestellar core mass function (CMF) can be well fit by a log-normal form. The high-mass end of the prestellar CMF shows a power-law form with an index α = −0.9 ± 0.1 that is shallower than that of the Galactic field stellar mass function. Combining the mass transformation efficiency (ε) from the prestellar core to the star of 15 ± 1% and the core formation efficiency (CFE) of 5.5%, we suggest an overall star formation efficiency of about 1% in the CMC. In the single-pointing observations with the IRAM 30m telescope, we find that 6 cores show blue-skewed profile, while 4 cores show red-skewed profile. [HCO+]/[HNC] and [HCO+]/[N2H+] in protostellar cores are higher than those in prestellar cores; this can be used as chemical clocks. The best-fit chemical age of the cores with line observations is ~5 × 104 yr.