Tie Dai

41 papers and 472 indexed citations i.

About

Tie Dai is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Tie Dai has authored 41 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 3 papers in Artificial Intelligence. Recurrent topics in Tie Dai’s work include Atmospheric aerosols and clouds (36 papers), Atmospheric chemistry and aerosols (34 papers) and Atmospheric Ozone and Climate (18 papers). Tie Dai is often cited by papers focused on Atmospheric aerosols and clouds (36 papers), Atmospheric chemistry and aerosols (34 papers) and Atmospheric Ozone and Climate (18 papers). Tie Dai collaborates with scholars based in China, Japan and The Netherlands. Tie Dai's co-authors include Guangyu Shi, Teruyuki Nakajima, Daisuke Goto, Yueming Cheng, Yuzhi Liu, Nick Schutgens, Guangyu Shi, Rui Jia, Yongkun Xie and Peng Zhang and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Environmental Pollution.

In The Last Decade

Co-authorship network of co-authors of Tie Dai i

Fields of papers citing papers by Tie Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie Dai

Since Specialization
Citations

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