Lin Gan

61 papers and 774 indexed citations i.

About

Lin Gan is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Lin Gan has authored 61 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hardware and Architecture, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Lin Gan’s work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (6 papers) and Meteorological Phenomena and Simulations (6 papers). Lin Gan is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (6 papers) and Meteorological Phenomena and Simulations (6 papers). Lin Gan collaborates with scholars based in China, United Kingdom and Germany. Lin Gan's co-authors include Jiajia Jiang, Fajie Duan, Xiao Fu, Haohuan Fu, Guangwen Yang, Wei Xue, Chao Yang, Guangwen Yang, Runmin Dong and Fangzhao Wu and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and Energy & Environmental Science.

In The Last Decade

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

Fields of papers citing papers by Lin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Gan

Since Specialization
Citations

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