Tai Jin

87 papers and 981 indexed citations i.

About

Tai Jin is a scholar working on Computational Mechanics, Aerospace Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Tai Jin has authored 87 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computational Mechanics, 18 papers in Aerospace Engineering and 18 papers in Fluid Flow and Transfer Processes. Recurrent topics in Tai Jin’s work include Combustion and flame dynamics (42 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Advanced Combustion Engine Technologies (18 papers). Tai Jin is often cited by papers focused on Combustion and flame dynamics (42 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Advanced Combustion Engine Technologies (18 papers). Tai Jin collaborates with scholars based in China, United Kingdom and Egypt. Tai Jin's co-authors include Kun Luo, Jianren Fan, Qi Dai, Haiou Wang, Jianren Fan, Xujiang Wang, Kai Luo, Gaofeng Wang, Guanxiong Wang and Na Li and has published in prestigious journals such as Journal of Fluid Mechanics, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Co-authorship network of co-authors of Tai Jin i

Fields of papers citing papers by Tai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tai Jin

Since Specialization
Citations

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

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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