Lingli Li

44 papers and 2.6k indexed citations i.

About

Lingli Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Physiology. According to data from OpenAlex, Lingli Li has authored 44 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Infectious Diseases and 8 papers in Physiology. Recurrent topics in Lingli Li’s work include COVID-19 Clinical Research Studies (9 papers), COVID-19 diagnosis using AI (7 papers) and Long-Term Effects of COVID-19 (5 papers). Lingli Li is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), COVID-19 diagnosis using AI (7 papers) and Long-Term Effects of COVID-19 (5 papers). Lingli Li collaborates with scholars based in China, Hong Kong and United States. Lingli Li's co-authors include Lian Yang, Tianhe Ye, Chuansheng Zheng, Feng Pan, Bo Liang, Richard L. Hesketh, Jiazheng Wang, Peng Sun, Dandan Zheng and Dehan Liu and has published in prestigious journals such as Brain Research, Scientific Reports and Radiology.

In The Last Decade

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

Fields of papers citing papers by Lingli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingli Li

Since Specialization
Citations

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