Lan Li

44 papers and 584 indexed citations i.

About

Lan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lan Li has authored 44 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lan Li’s work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Digital Radiography and Breast Imaging (10 papers). Lan Li is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Digital Radiography and Breast Imaging (10 papers). Lan Li collaborates with scholars based in United States, China and Japan. Lan Li's co-authors include Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, Gyungho Lee, Karla Horsch, Carl J. Vyborny, Zhimin Huo, Ellen B. Mendelson, Barbara Weber and R. Edward Hendrick and has published in prestigious journals such as Bioresource Technology, Radiology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Lan Li i

Fields of papers citing papers by Lan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lan Li

Since Specialization
Citations

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