Din‐Li Tsan

19 papers and 450 indexed citations i.

About

Din‐Li Tsan is a scholar working on Pulmonary and Respiratory Medicine, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Din‐Li Tsan has authored 19 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 9 papers in Otorhinolaryngology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Din‐Li Tsan’s work include Head and Neck Cancer Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (3 papers). Din‐Li Tsan is often cited by papers focused on Head and Neck Cancer Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (3 papers). Din‐Li Tsan collaborates with scholars based in Taiwan, United States and United Kingdom. Din‐Li Tsan's co-authors include Tzu‐Chen Yen, Joseph Tung‐Chieh Chang, Yu-Hua Fang, Shu‐Hang Ng, Nai-Ming Cheng, Chun-Ta Liao, Hung‐Ming Wang, Hung‐Ming Wang, Chun‐Ta Liao and Lan‐Yan Yang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Din‐Li Tsan i

Fields of papers citing papers by Din‐Li Tsan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Din‐Li Tsan

Since Specialization
Citations

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