Shan Lin

About

Shan Lin is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Aerospace Engineering. According to data from OpenAlex, Shan Lin has authored 21 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Aerospace Engineering. Recurrent topics in Shan Lin’s work include Fluid Dynamics and Turbulent Flows (3 papers), Medical Image Segmentation Techniques (2 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). Shan Lin is often cited by papers focused on Fluid Dynamics and Turbulent Flows (3 papers), Medical Image Segmentation Techniques (2 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). Shan Lin collaborates with scholars based in China, United States and Iran. Shan Lin's co-authors include G. M. Corcos, Fangbo Qin, Qing Zhang, Kris S. Moe, Randall A. Bly, Fatima Rashid Sheykhahmad, Blake Hannaford, Hong Fang, Yangming Li and Liying Zhang and has published in prestigious journals such as Journal of Fluid Mechanics, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

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

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Fields of papers citing papers by Shan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shan Lin

Since Specialization

Citations

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