Zhidan Li

About

Zhidan Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhidan Li has authored 22 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhidan Li’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Epigenetics and DNA Methylation (2 papers). Zhidan Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Epigenetics and DNA Methylation (2 papers). Zhidan Li collaborates with scholars based in China, United States and Japan. Zhidan Li's co-authors include Yongjie Li, Ling Shan, Zhongyan Shan, Yanqiang Ding, Yaxin Lai, Jiashu Yu, Haibo Xue, Kaize He, Jun Liu and Hai Zhao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Neuroscience.

In The Last Decade

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

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Fields of papers citing papers by Zhidan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhidan Li

Since Specialization

Citations

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