Guang-Fa Tang

About

Guang-Fa Tang is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Guang-Fa Tang has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 20 papers in Computational Mechanics and 15 papers in Biomedical Engineering. Recurrent topics in Guang-Fa Tang’s work include Heat Transfer and Optimization (16 papers), Nanofluid Flow and Heat Transfer (15 papers) and Wind and Air Flow Studies (8 papers). Guang-Fa Tang is often cited by papers focused on Heat Transfer and Optimization (16 papers), Nanofluid Flow and Heat Transfer (15 papers) and Wind and Air Flow Studies (8 papers). Guang-Fa Tang collaborates with scholars based in China, United Kingdom and Hong Kong. Guang-Fa Tang's co-authors include Fu-Yun Zhao, Di Liu, Di Liu, Qihong Deng, Nianping Li, Yuguo Li, Song Fu, Guangcai Gong, Zhongbing Liu and Ling Zhang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Co-authorship network of co-authors of Guang-Fa Tang i

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Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Guang-Fa Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Fa Tang. 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 Guang-Fa Tang. The network helps show where Guang-Fa Tang may publish in the future.

Countries citing papers authored by Guang-Fa Tang

Since Specialization

Citations

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