Min Qi

30 papers and 438 indexed citations i.

About

Min Qi is a scholar working on Organic Chemistry, Health, Toxicology and Mutagenesis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Qi has authored 30 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Qi’s work include Toxic Organic Pollutants Impact (4 papers), Marine and coastal ecosystems (3 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Min Qi is often cited by papers focused on Toxic Organic Pollutants Impact (4 papers), Marine and coastal ecosystems (3 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Min Qi collaborates with scholars based in China, United States and United Kingdom. Min Qi's co-authors include Yuan Niu, Zhimei Ma, Min Tao, Ping Xie, Jun Chen, Hong Shen, Xi Yang, Peifu Jiao, Michael Frezza and Bing Yan and has published in prestigious journals such as PLoS ONE, Water Research and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Min Qi i

Fields of papers citing papers by Min Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Qi

Since Specialization
Citations

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