Lin Gui

286 papers and 3.5k indexed citations i.

About

Lin Gui is a scholar working on Oncology, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Lin Gui has authored 286 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Oncology, 63 papers in Artificial Intelligence and 63 papers in Pathology and Forensic Medicine. Recurrent topics in Lin Gui’s work include Lymphoma Diagnosis and Treatment (59 papers), Topic Modeling (41 papers) and Sentiment Analysis and Opinion Mining (35 papers). Lin Gui is often cited by papers focused on Lymphoma Diagnosis and Treatment (59 papers), Topic Modeling (41 papers) and Sentiment Analysis and Opinion Mining (35 papers). Lin Gui collaborates with scholars based in China, United Kingdom and United States. Lin Gui's co-authors include Ruifeng Xu, Yulan He, Bin Liang, Jiachen Du, Qin Lu, Erik Cambria, Hang Su, Ruifeng Xu, Nigel S. Key and Anna Solovey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

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

Fields of papers citing papers by Lin Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Gui

Since Specialization
Citations

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