Honglie Song

40 papers and 1.8k indexed citations i.

About

Honglie Song is a scholar working on Biomedical Engineering, Mechanical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Honglie Song has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 16 papers in Mechanical Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in Honglie Song’s work include Advanced Sensor and Energy Harvesting Materials (28 papers), Advanced Materials and Mechanics (15 papers) and Modular Robots and Swarm Intelligence (8 papers). Honglie Song is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (28 papers), Advanced Materials and Mechanics (15 papers) and Modular Robots and Swarm Intelligence (8 papers). Honglie Song collaborates with scholars based in China, United States and Australia. Honglie Song's co-authors include Yihui Zhang, Zhaoguo Xue, Fan Zhang, Yonggang Huang, John A. Rogers, Zhiwu Han, Shichao Niu, Kejun Wang, Junqiu Zhang and Xu Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Honglie Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Honglie Song

Since Specialization
Citations

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