Bangcheng Ai

490 total citations
33 papers, 368 citations indexed

About

Bangcheng Ai is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Bangcheng Ai has authored 33 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 14 papers in Aerospace Engineering and 9 papers in Applied Mathematics. Recurrent topics in Bangcheng Ai's work include Gas Dynamics and Kinetic Theory (9 papers), Heat and Mass Transfer in Porous Media (6 papers) and Heat Transfer and Boiling Studies (6 papers). Bangcheng Ai is often cited by papers focused on Gas Dynamics and Kinetic Theory (9 papers), Heat and Mass Transfer in Porous Media (6 papers) and Heat Transfer and Boiling Studies (6 papers). Bangcheng Ai collaborates with scholars based in China and United Kingdom. Bangcheng Ai's co-authors include Jianhua Wang, Fei He, Xiaoguang Luo, Hao Su, Weijie Li, Haiming Huang, Zimao Zhang, Siyuan Chen, Liang Chen and Liang Chen and has published in prestigious journals such as International Journal of Heat and Mass Transfer, AIAA Journal and Journal of Sound and Vibration.

In The Last Decade

Bangcheng Ai

31 papers receiving 351 citations

Peers

Bangcheng Ai
Comparison fields: 5 of 39
  • Computational Mechanics 176
  • Aerospace Engineering 159
  • Mechanical Engineering 152
  • Applied Mathematics 85
  • Materials Chemistry 54
Replace Bibin John with:
Bibin John India
Nan Zong United States
Eddie Leonardi Australia
Jiawen Song China
Ryozo ECHIGO Japan
Marco Lorenzini Italy
Frank Brueckner Germany
Gang Du China
A. Déom France
James Jay Pasch United States
Bibin John India View profile →
Citations per field, relative to Bangcheng Ai
Bangcheng Ai · 1×
Citations per year, relative to Bangcheng Ai
Bangcheng Ai · 1×

Countries citing papers authored by Bangcheng Ai

Since Specialization
Citations

This map shows the geographic impact of Bangcheng Ai'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 Bangcheng Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bangcheng Ai more than expected).

Fields of papers citing papers by Bangcheng Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bangcheng Ai. 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 Bangcheng Ai. The network helps show where Bangcheng Ai may publish in the future.

Co-authorship network of co-authors of Bangcheng Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Bangcheng Ai. A scholar is included among the top collaborators of Bangcheng Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bangcheng Ai. Bangcheng Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 1
5 0
6 1
7 5
8 4
9 4
10 3
11 7
12 53
13 5
14 51
15 3
16
Simulation of self-pressurization in cryogenic propellant tank
1
17 11
18 4
19 2
20 14

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026