Song Han

21 papers and 613 indexed citations i.

About

Song Han is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Song Han has authored 21 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 5 papers in Computational Mechanics. Recurrent topics in Song Han’s work include Advanced Combustion Engine Technologies (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Conducting polymers and applications (3 papers). Song Han is often cited by papers focused on Advanced Combustion Engine Technologies (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Conducting polymers and applications (3 papers). Song Han collaborates with scholars based in China, United States and Nepal. Song Han's co-authors include Wei Chen, Chao Lü, Jingjing Zhao, Dongxing Wang, Xiaoxia Li, Li Guo, Mo Zheng, Jingjing Zhao, Minghong Wu and Xiaolong Liu and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Advanced Functional Materials.

In The Last Decade

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

Fields of papers citing papers by Song Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Han

Since Specialization
Citations

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