Cheng Ting Lin

86 papers and 2.1k indexed citations i.

About

Cheng Ting Lin is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Cheng Ting Lin has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 25 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Epidemiology. Recurrent topics in Cheng Ting Lin’s work include Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and COVID-19 diagnosis using AI (8 papers). Cheng Ting Lin is often cited by papers focused on Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and COVID-19 diagnosis using AI (8 papers). Cheng Ting Lin collaborates with scholars based in United States, China and Taiwan. Cheng Ting Lin's co-authors include Yanju Liu, Liwu Liu, Jinsong Leng, Jarushka Naidoo, Sonye K. Danoff, Karthik Suresh, Paul H. Yi, Yuanshi Li, Fenghua Zhang and Jinrong Li and has published in prestigious journals such as Nature Medicine, Gastroenterology and Advanced Functional Materials.

In The Last Decade

Co-authorship network of co-authors of Cheng Ting Lin i

Fields of papers citing papers by Cheng Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Ting Lin

Since Specialization
Citations

This map shows the geographic impact of Cheng Ting 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 Cheng Ting Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ting 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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2025