Cheng Song

372 papers and 12.5k indexed citations i.

About

Cheng Song is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Cheng Song has authored 372 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Materials Chemistry, 159 papers in Atomic and Molecular Physics, and Optics and 148 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Cheng Song’s work include Magnetic properties of thin films (135 papers), Magnetic and transport properties of perovskites and related materials (89 papers) and Advanced Memory and Neural Computing (66 papers). Cheng Song is often cited by papers focused on Magnetic properties of thin films (135 papers), Magnetic and transport properties of perovskites and related materials (89 papers) and Advanced Memory and Neural Computing (66 papers). Cheng Song collaborates with scholars based in China, United States and Hong Kong. Cheng Song's co-authors include Feng Pan, Fei Zeng, Shuang Gao, Chen Chen, Fan Li, Bin Cui, Yuyan Wang, K. W. Geng, Yuchao Yang and Yongmei Zheng and has published in prestigious journals such as Nature, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

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

Fields of papers citing papers by Cheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025