Chao Tai

31 total papers · 1.1k total citations
22 papers, 987 citations indexed

About

Chao Tai is a scholar working on Health, Toxicology and Mutagenesis, Electrochemistry and Analytical Chemistry. According to data from OpenAlex, Chao Tai has authored 22 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 4 papers in Electrochemistry and 4 papers in Analytical Chemistry. Recurrent topics in Chao Tai's work include Mercury impact and mitigation studies (4 papers), Electrochemical Analysis and Applications (4 papers) and Toxic Organic Pollutants Impact (4 papers). Chao Tai is often cited by papers focused on Mercury impact and mitigation studies (4 papers), Electrochemical Analysis and Applications (4 papers) and Toxic Organic Pollutants Impact (4 papers). Chao Tai collaborates with scholars based in China, United States and Canada. Chao Tai's co-authors include Guibin Jiang, Jingfu Liu, Jinfeng Peng, Hong Zou, Yongguang Yin, Yanbin Li, Yong Cai, Yuguang Chi, Jingtian Hu and Tongqian Zhao and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Water Research.

In The Last Decade

Chao Tai

22 papers receiving 975 citations

Author Peers

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

Author Last Decade Papers Cites
Chao Tai 250 246 234 192 171 22 987
Zhi Fang 229 0.9× 299 1.2× 161 0.7× 180 0.9× 130 0.8× 38 1.1k
Orfeo Zerbinati 262 1.0× 184 0.7× 106 0.5× 244 1.3× 203 1.2× 39 1.1k
C.S.P. Iyer 364 1.5× 208 0.8× 90 0.4× 77 0.4× 105 0.6× 41 1.1k
Kheng Soo Tay 501 2.0× 131 0.5× 218 0.9× 208 1.1× 174 1.0× 45 941
Zuo Tong How 294 1.2× 252 1.0× 366 1.6× 129 0.7× 128 0.7× 35 967
Benjamin Greene 205 0.8× 151 0.6× 106 0.5× 77 0.4× 135 0.8× 17 886
Bruce McDuffie 94 0.4× 178 0.7× 158 0.7× 79 0.4× 163 1.0× 22 1.2k
Qiulin Li 118 0.5× 166 0.7× 117 0.5× 269 1.4× 67 0.4× 41 819
Elżbieta Zambrzycka-Szelewa 79 0.3× 200 0.8× 139 0.6× 182 0.9× 56 0.3× 30 894
Rajnarayan Saha 289 1.2× 78 0.3× 126 0.5× 99 0.5× 139 0.8× 46 1.1k

Countries citing papers authored by Chao Tai

Since Specialization
Citations

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

Fields of papers citing papers by Chao Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Tai. A scholar is included among the top collaborators of Chao Tai 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 Chao Tai. Chao Tai 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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