Daoying Geng

6 papers and 454 indexed citations i.

About

Daoying Geng is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daoying Geng has authored 6 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daoying Geng’s work include Long-Term Effects of COVID-19 (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and COVID-19 diagnosis using AI (1 paper). Daoying Geng is often cited by papers focused on Long-Term Effects of COVID-19 (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and COVID-19 diagnosis using AI (1 paper). Daoying Geng collaborates with scholars based in China and United Kingdom. Daoying Geng's co-authors include Yiping Lu, Bo Yin, Dongdong Wang, Yajing Zhao, Nan Mei, Xuanxuan Li, Anling Xiao, Tianye Jia, Pu‐Yeh Wu and Chu‐Chung Huang and has published in prestigious journals such as Chemical Engineering Journal, European Radiology and Computers in Biology and Medicine.

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