Dexuan Sha

About

Dexuan Sha is a scholar working on Global and Planetary Change, Modeling and Simulation and Atmospheric Science. According to data from OpenAlex, Dexuan Sha has authored 23 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 6 papers in Modeling and Simulation and 5 papers in Atmospheric Science. Recurrent topics in Dexuan Sha’s work include COVID-19 epidemiological studies (6 papers), COVID-19 impact on air quality (5 papers) and Health disparities and outcomes (3 papers). Dexuan Sha is often cited by papers focused on COVID-19 epidemiological studies (6 papers), COVID-19 impact on air quality (5 papers) and Health disparities and outcomes (3 papers). Dexuan Sha collaborates with scholars based in United States, China and Finland. Dexuan Sha's co-authors include Chaowei Yang, Hai Lan, Qian Liu, Xiaodong Mu, Yun Li, Tao Hu, Ruizhi Hou, Luyao Zhang, Wei Liu and Mingyue Lu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Dexuan Sha i

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Fields of papers citing papers by Dexuan Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dexuan Sha

Since Specialization

Citations

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