Enzhe Song

41 papers and 503 indexed citations i.

About

Enzhe Song is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Enzhe Song has authored 41 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Fluid Flow and Transfer Processes, 19 papers in Computational Mechanics and 11 papers in Automotive Engineering. Recurrent topics in Enzhe Song’s work include Advanced Combustion Engine Technologies (30 papers), Combustion and flame dynamics (19 papers) and Vehicle emissions and performance (8 papers). Enzhe Song is often cited by papers focused on Advanced Combustion Engine Technologies (30 papers), Combustion and flame dynamics (19 papers) and Vehicle emissions and performance (8 papers). Enzhe Song collaborates with scholars based in China, Poland and Australia. Enzhe Song's co-authors include Liping Yang, Shun-Liang Ding, Xiuzhen Ma, Quan Dong, Liyun Fan, Grzegorz Litak, Yu Ding, Richard Brown, Jun Sun and Norbert Marwan and has published in prestigious journals such as Applied Energy, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Co-authorship network of co-authors of Enzhe Song i

Fields of papers citing papers by Enzhe Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enzhe Song

Since Specialization
Citations

This map shows the geographic impact of Enzhe Song'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 Enzhe Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enzhe Song 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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2025