Guang Lin

29 papers and 535 indexed citations i.

About

Guang Lin is a scholar working on Materials Chemistry, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Guang Lin has authored 29 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 5 papers in Molecular Biology and 5 papers in Mechanical Engineering. Recurrent topics in Guang Lin’s work include Catalytic Processes in Materials Science (6 papers), Traditional and Medicinal Uses of Annonaceae (3 papers) and Model Reduction and Neural Networks (3 papers). Guang Lin is often cited by papers focused on Catalytic Processes in Materials Science (6 papers), Traditional and Medicinal Uses of Annonaceae (3 papers) and Model Reduction and Neural Networks (3 papers). Guang Lin collaborates with scholars based in United States, China and Russia. Guang Lin's co-authors include Zhen Yang, Chuang‐Chuang Li, Jianxian Gong, Wenbo Sun, Donghai Mei, Xiulin Ruan, Zuyuan Wang, Li Li, Xiaoliang Wan and Yongqing Yang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Guang Lin i

Fields of papers citing papers by Guang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Lin

Since Specialization
Citations

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