Yunqing Bai

718 citations
59 papers · 561 indexed · h-index 13

Yunqing Bai

57 papers receiving 552 citations

Peers

Yunqing Bai
Comparison fields: 5 of 60
  • Aerospace Engineering 345
  • Materials Chemistry 294
  • Radiation 50
  • Computational Mechanics 86
  • Mechanical Engineering 143
Replace A. Alemberti with:
A. Alemberti Italy
Frank-Peter Weiß Germany
Robert Salko United States
Yuliang Sun China
Tadashi NARABAYASHI Japan
Xiaoming Chai China
Javier Ortensi United States
J.J. Sienicki United States
G. Ivan Maldonado United States
Yunqing Bai relative to A. Alemberti Italy A. Alemberti's profile →
Citations per field
00.5×1.7×
A. Alemberti · 1×
Citations per year

Countries citing papers authored by Yunqing Bai

Since Specialization
Citations

This map shows the geographic impact of Yunqing Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yunqing Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunqing Bai more than expected).

Fields of papers citing papers by Yunqing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yunqing Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yunqing Bai. The network helps show where Yunqing Bai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yunqing Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yunqing Bai Line = papers co-authored together Yunqing Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20240
4 20215
5 202017
6 20182
7 20185
8 20181
9 201713
10 20153
11
Conceptual design of China lead-based research reactor CLEAR-I
201430
12 201211
13 20102
14
Development of design and analysis software for advanced nuclear systems
20107
15 20091
16
Research on the Thunder Distribution in Chongqing Region Using Ground Flash Density
20071
17 20068
18
Study on thermal-hydraulic new concept of the high temperature liquid blanket for hydrogen production
20052
19
Conceptual design study on the fusion power reactor FDS-II
200516
20
The dual functional lithium lead test blanket module and the testing strategy for ITER
20057

About Yunqing Bai

Yunqing Bai is a scholar working on Aerospace Engineering, Materials Chemistry and Safety, Risk, Reliability and Quality, having authored 59 papers that have together received 561 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (36 papers), Nuclear Materials and Properties (31 papers), Fusion materials and technologies (21 papers), Nuclear Engineering Thermal-Hydraulics (12 papers), Nuclear and radioactivity studies (5 papers), Magnetic confinement fusion research (5 papers), Superconducting Materials and Applications (5 papers) and Heat transfer and supercritical fluids (5 papers). The work is most often cited by research in Aerospace Engineering (345 citations), Materials Chemistry (294 citations) and Radiation (50 citations). Yunqing Bai has collaborated with scholars based in China, Australia and France. Frequent co-authors include Yingwei Song, Yican Wu, Liqin Hu, Qunying Huang, Hongli Chen, Ming Jin, Qunying Huang, Chi Xu, Jieqiong Jiang and Gang Wang. Their work appears in journals such as Fusion Engineering and Design, Annals of Nuclear Energy, Progress in Nuclear Energy, Applied Thermal Engineering and Nuclear Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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