Daoying Geng

137 papers and 1.6k indexed citations i.

About

Daoying Geng is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Daoying Geng has authored 137 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Genetics and 35 papers in Epidemiology. Recurrent topics in Daoying Geng’s work include Glioma Diagnosis and Treatment (37 papers), Radiomics and Machine Learning in Medical Imaging (35 papers) and MRI in cancer diagnosis (30 papers). Daoying Geng is often cited by papers focused on Glioma Diagnosis and Treatment (37 papers), Radiomics and Machine Learning in Medical Imaging (35 papers) and MRI in cancer diagnosis (30 papers). Daoying Geng collaborates with scholars based in China, United States and Hong Kong. Daoying Geng's co-authors include Yuxin Li, Ji Xiong, Yiping Lu, Bo Yin, Jun Zhang, Wenli Tan, Chi‐Shing Zee, Weiyuan Huang, Liqin Yang and Jinsong Wu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Co-authorship network of co-authors of Daoying Geng i

Fields of papers citing papers by Daoying Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daoying Geng

Since Specialization
Citations

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