Tai Zhang

115 total papers · 1.4k total citations
67 papers, 1.1k citations indexed

About

Tai Zhang is a scholar working on Biomedical Engineering, Computational Mechanics and Surfaces, Coatings and Films. According to data from OpenAlex, Tai Zhang has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 17 papers in Computational Mechanics and 11 papers in Surfaces, Coatings and Films. Recurrent topics in Tai Zhang's work include Thermochemical Biomass Conversion Processes (16 papers), Combustion and flame dynamics (13 papers) and Surface Modification and Superhydrophobicity (11 papers). Tai Zhang is often cited by papers focused on Thermochemical Biomass Conversion Processes (16 papers), Combustion and flame dynamics (13 papers) and Surface Modification and Superhydrophobicity (11 papers). Tai Zhang collaborates with scholars based in China, Macao and Saudi Arabia. Tai Zhang's co-authors include Changfa Xiao, Zhaohui Liu, Dawei Ji, Jian Zhao, Fan Hu, Kaikai Chen, Xiaohong Huang, Pengfei Li, Junjun Guo and Wei‐Guo Jia and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Membrane Science.

In The Last Decade

Tai Zhang

58 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Tai Zhang 502 249 247 235 233 67 1.1k
Le Xie 372 0.7× 256 1.0× 168 0.7× 240 1.0× 131 0.6× 63 1.1k
Meng Zhu 571 1.1× 119 0.5× 277 1.1× 412 1.8× 568 2.4× 53 1.4k
Jun Cong Ge 746 1.5× 102 0.4× 273 1.1× 278 1.2× 125 0.5× 52 1.4k
Zhiwei Guo 160 0.3× 196 0.8× 390 1.6× 357 1.5× 156 0.7× 69 1.3k
Tomonori Fukasawa 327 0.7× 415 1.7× 217 0.9× 284 1.2× 175 0.8× 101 1.4k
Kazuki Akamatsu 561 1.1× 54 0.2× 377 1.5× 356 1.5× 469 2.0× 74 1.3k
Chang Li 383 0.8× 108 0.4× 326 1.3× 414 1.8× 56 0.2× 71 1.4k
Lin Liang 400 0.8× 113 0.5× 530 2.1× 115 0.5× 172 0.7× 44 1.0k
Hanzhou Liu 273 0.5× 241 1.0× 276 1.1× 365 1.6× 38 0.2× 78 990
D. Paul 447 0.9× 47 0.2× 612 2.5× 241 1.0× 357 1.5× 49 1.4k

Countries citing papers authored by Tai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Zhang

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