Huanshu Tan

43 total papers · 844 total citations
21 papers, 656 citations indexed

About

Huanshu Tan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Huanshu Tan has authored 21 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 7 papers in Computational Mechanics. Recurrent topics in Huanshu Tan's work include Nanomaterials and Printing Technologies (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers) and Pickering emulsions and particle stabilization (5 papers). Huanshu Tan is often cited by papers focused on Nanomaterials and Printing Technologies (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers) and Pickering emulsions and particle stabilization (5 papers). Huanshu Tan collaborates with scholars based in Netherlands, China and Germany. Huanshu Tan's co-authors include Detlef Lohse, Xuehua Zhang, Christian Diddens, Pengyu Lv, J. G. M. Kuerten, Chao Sun, Lei Bao, Yinghe He, Ziyang Lu and Hans‐Jürgen Butt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Huanshu Tan

19 papers receiving 645 citations

Author Peers

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

Author						Papers	Cites
Huanshu Tan	363	321	197	168	99	21	656
J. F. Padday	179 0.5×	127 0.4×	252 1.3×	139 0.8×	282 2.8×	29	742
M. Schneemilch	144 0.4×	158 0.5×	229 1.2×	145 0.9×	262 2.6×	19	665
Anne-Marie Cazabat	314 0.9×	152 0.5×	377 1.9×	116 0.7×	255 2.6×	14	687
Axel Huerre	125 0.3×	400 1.2×	145 0.7×	193 1.1×	73 0.7×	22	612
Venkateshwar Rao Dugyala	287 0.8×	157 0.5×	103 0.5×	345 2.1×	52 0.5×	21	651
Emmanuelle Pauliac-Vaujour	363 1.0×	192 0.6×	248 1.3×	235 1.4×	44 0.4×	21	604
Jean Comtet	114 0.3×	187 0.6×	200 1.0×	302 1.8×	40 0.4×	18	774
Timothée Mouterde	201 0.6×	330 1.0×	260 1.3×	152 0.9×	449 4.5×	19	784
Dale Henneke	121 0.3×	387 1.2×	80 0.4×	307 1.8×	20 0.2×	23	734
H. W. Fox	161 0.4×	186 0.6×	77 0.4×	205 1.2×	388 3.9×	12	778

Countries citing papers authored by Huanshu Tan

Since Specialization

Citations

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

Fields of papers citing papers by Huanshu Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanshu Tan

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