Song Xiao

92 papers and 1.5k indexed citations i.

About

Song Xiao is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Song Xiao has authored 92 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 20 papers in Electrical and Electronic Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Song Xiao’s work include Electrical Contact Performance and Analysis (19 papers), Railway Systems and Energy Efficiency (13 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Song Xiao is often cited by papers focused on Electrical Contact Performance and Analysis (19 papers), Railway Systems and Energy Efficiency (13 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Song Xiao collaborates with scholars based in China, United Kingdom and United States. Song Xiao's co-authors include Quanle Zou, Kang Peng, Dongsheng Zhu, Shuying Wu, J.K. Sykulski, Yongdong Jiang, Mihai Rotaru, Chao Qin, Guangning Wu and Junping Zhou and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and The Journal of Physical Chemistry C.

In The Last Decade

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

Fields of papers citing papers by Song Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Xiao

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025