Song De

48 papers and 989 indexed citations i.

About

Song De is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Song De has authored 48 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Song De’s work include Organic Electronics and Photovoltaics (12 papers), Semiconductor materials and devices (8 papers) and Quantum and electron transport phenomena (7 papers). Song De is often cited by papers focused on Organic Electronics and Photovoltaics (12 papers), Semiconductor materials and devices (8 papers) and Quantum and electron transport phenomena (7 papers). Song De collaborates with scholars based in China, United States and France. Song De's co-authors include Guo-Qing Wei, Donghang Yan, Yanhou Geng, Haibo Wang, F. C. Wellstood, André Gagalowicz, Feng Zhu, Junliang Yang, Hongkun Tian and A. Amar and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Applied Physics Letters.

In The Last Decade

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

Fields of papers citing papers by Song De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song De

Since Specialization
Citations

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