Dagang Tang

23 total papers · 1.7k total citations
21 papers, 1.0k citations indexed

About

Dagang Tang is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Automotive Engineering. According to data from OpenAlex, Dagang Tang has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 11 papers in Health, Toxicology and Mutagenesis and 9 papers in Automotive Engineering. Recurrent topics in Dagang Tang's work include Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (10 papers) and Vehicle emissions and performance (9 papers). Dagang Tang is often cited by papers focused on Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (10 papers) and Vehicle emissions and performance (9 papers). Dagang Tang collaborates with scholars based in China, Japan and United States. Dagang Tang's co-authors include Min Shao, Sihua Lü, Limin Zeng, Ying Liu, Wei Wang, Hongjie Liu, Akinori Takami, Shiro Hatakeyama, Lihong Ren and Jianhua Chen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Atmospheric Environment.

In The Last Decade

Dagang Tang

21 papers receiving 991 citations

Hit Papers

Source profiles of volati... 2008 2026 2014 2020 2008 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dagang Tang 769 694 333 259 139 21 1.0k
Norbert Englert 290 0.4× 846 1.2× 288 0.9× 236 0.9× 101 0.7× 18 1.1k
Bo Gao 788 1.0× 865 1.2× 262 0.8× 205 0.8× 134 1.0× 36 1.2k
Xiaoying Li 535 0.7× 657 0.9× 257 0.8× 151 0.6× 189 1.4× 56 1.1k
Stephen R. McDow 824 1.1× 920 1.3× 249 0.7× 222 0.9× 175 1.3× 34 1.2k
Yujie Zhang 827 1.1× 794 1.1× 480 1.4× 179 0.7× 125 0.9× 39 1.1k
César Oliveira 623 0.8× 755 1.1× 149 0.4× 293 1.1× 134 1.0× 31 1.0k
H. J. Th. Bloemen 543 0.7× 935 1.3× 388 1.2× 267 1.0× 82 0.6× 16 1.1k
Shexia Ma 572 0.7× 730 1.1× 184 0.6× 151 0.6× 119 0.9× 32 985
Xuan Zhang 523 0.7× 896 1.3× 147 0.4× 111 0.4× 106 0.8× 48 1.1k
Kenneth T. Knapp 446 0.6× 618 0.9× 198 0.6× 463 1.8× 101 0.7× 45 1.1k

Countries citing papers authored by Dagang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Dagang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Dagang Tang. A scholar is included among the top collaborators of Dagang Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dagang Tang. Dagang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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