Sheng Lian

21 papers and 310 indexed citations i.

About

Sheng Lian is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sheng Lian has authored 21 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Sheng Lian’s work include Advanced Neural Network Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian is often cited by papers focused on Advanced Neural Network Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian collaborates with scholars based in China, Italy and United States. Sheng Lian's co-authors include Zhiming Luo, Shaozi Li, Zhun Zhong, Songzhi Su, Xiao Xiao, Dazhen Lin, Fengxiang Yang, Shaohao Chen, Changfa Guo and Kai Zhu and has published in prestigious journals such as Brain, Aquaculture and eLife.

In The Last Decade

Co-authorship network of co-authors of Sheng Lian i

Fields of papers citing papers by Sheng Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Lian

Since Specialization
Citations

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