Lanfen Lin

105 papers and 2.4k indexed citations i.

About

Lanfen Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lanfen Lin has authored 105 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 46 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lanfen Lin’s work include Radiomics and Machine Learning in Medical Imaging (31 papers), Advanced Neural Network Applications (26 papers) and Medical Image Segmentation Techniques (25 papers). Lanfen Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), Advanced Neural Network Applications (26 papers) and Medical Image Segmentation Techniques (25 papers). Lanfen Lin collaborates with scholars based in China, Japan and United States. Lanfen Lin's co-authors include Yen‐Wei Chen, Xian‐Hua Han, Yutaro Iwamoto, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Huimin Huang, Jian Wu, Hao Sun and Zongyao Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Lanfen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lanfen Lin

Since Specialization
Citations

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