Dexiang Yang

7 papers and 54 indexed citations i.

About

Dexiang Yang is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dexiang Yang has authored 7 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dexiang Yang’s work include COVID-19 Clinical Research Studies (3 papers), COVID-19 diagnosis using AI (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Dexiang Yang is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), COVID-19 diagnosis using AI (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Dexiang Yang collaborates with scholars based in China and United States. Dexiang Yang's co-authors include Min Zhou, Kui Liu, Tao Bai, Yun Ling, Zenghui Cheng, Jian Li, Xiaoyan Jin, Qi Zhang, Ping Fang and Ranran Dai and has published in prestigious journals such as Epidemiology and Infection, Saudi Journal of Biological Sciences and Annals of Translational Medicine.

In The Last Decade

Co-authorship network of co-authors of Dexiang Yang i

Fields of papers citing papers by Dexiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dexiang Yang

Since Specialization
Citations

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