Zhilong Song

About

Zhilong Song is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Zhilong Song has authored 25 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 7 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Zhilong Song’s work include Machine Learning in Materials Science (9 papers), CO2 Reduction Techniques and Catalysts (4 papers) and Electrocatalysts for Energy Conversion (4 papers). Zhilong Song is often cited by papers focused on Machine Learning in Materials Science (9 papers), CO2 Reduction Techniques and Catalysts (4 papers) and Electrocatalysts for Energy Conversion (4 papers). Zhilong Song collaborates with scholars based in China, Japan and United States. Zhilong Song's co-authors include Wan‐Jian Yin, Yanfa Yan, Qingde Sun, Baicheng Weng, Rilong Zhu, Qingyu Yan, David W. Hoeppner, Yuebin Lian, Qiaoqiao Mu and Yanhui Su and has published in prestigious journals such as Nature Communications, ACS Nano and Journal of Applied Physics.

In The Last Decade

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

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Fields of papers citing papers by Zhilong Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhilong Song

Since Specialization

Citations

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