Lingmei Huang

About

Lingmei Huang is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Lingmei Huang has authored 8 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Molecular Biology. Recurrent topics in Lingmei Huang’s work include Air Quality and Health Impacts (2 papers), COVID-19 diagnosis using AI (1 paper) and Climate Change and Health Impacts (1 paper). Lingmei Huang is often cited by papers focused on Air Quality and Health Impacts (2 papers), COVID-19 diagnosis using AI (1 paper) and Climate Change and Health Impacts (1 paper). Lingmei Huang collaborates with scholars based in China and Canada. Lingmei Huang's co-authors include Bing Li, Pixin Ran, Jinding Pu, Yumin Zhou, Dongxing Zhao, Sha Liu, Shiliang Liu, Suixin Liu, Weifeng Zou and Xiaochen Li and has published in prestigious journals such as Scientific Reports, Thorax and Respiratory Research.

In The Last Decade

Co-authorship network of co-authors of Lingmei Huang i

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Fields of papers citing papers by Lingmei Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingmei Huang

Since Specialization

Citations

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