Yuqi Song

43 papers and 548 indexed citations i.

About

Yuqi Song is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Yuqi Song has authored 43 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 5 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Yuqi Song’s work include Machine Learning in Materials Science (14 papers), X-ray Diffraction in Crystallography (6 papers) and Computational Drug Discovery Methods (4 papers). Yuqi Song is often cited by papers focused on Machine Learning in Materials Science (14 papers), X-ray Diffraction in Crystallography (6 papers) and Computational Drug Discovery Methods (4 papers). Yuqi Song collaborates with scholars based in China, United States and Sri Lanka. Yuqi Song's co-authors include Jianjun Hu, Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Alireza Nasiri, Ming Hu, Mohammed Al‐Fahdi, Rongzhi Dong, Haifeng Yang, Feng Wang and Miao Long and has published in prestigious journals such as The Journal of Physical Chemistry C, ACS Applied Materials & Interfaces and Chemical Physics Letters.

In The Last Decade

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

Fields of papers citing papers by Yuqi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuqi Song

Since Specialization
Citations

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