Weishan Liu

8 total papers · 849 total citations
8 papers, 695 citations indexed

About

Weishan Liu is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Weishan Liu has authored 8 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 3 papers in Mechanical Engineering and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Weishan Liu's work include Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Weishan Liu is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Weishan Liu collaborates with scholars based in United States, China and United Kingdom. Weishan Liu's co-authors include Rustem F. Ismagilov, Wenbin Du, Delai Chen, Rebecca R. Pompano, Elizabeth B. Haney, Andrey V. Kuznetsov, Louis H. Philipson, Ying Liu, Kevin P. Nichols and Elena M. Lucchetta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Weishan Liu

8 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Weishan Liu	570	205	129	93	35	8	695
Sohini RoyChoudhury	399 0.7×	368 1.8×	86 0.7×	12 0.1×	65 1.9×	10	631
Orin Hemminger	414 0.7×	64 0.3×	106 0.8×	69 0.7×	66 1.9×	10	594
Matthew W. Losey	502 0.9×	150 0.7×	27 0.2×	121 1.3×	147 4.2×	5	658
Fariba Ghaderinezhad	545 1.0×	113 0.6×	155 1.2×	27 0.3×	39 1.1×	10	648
Philip C. Gach	610 1.1×	217 1.1×	159 1.2×	23 0.2×	13 0.4×	10	729
Xueqian Ren	338 0.6×	205 1.0×	120 0.9×	42 0.5×	76 2.2×	12	598
A.J. Tüdös	403 0.7×	213 1.0×	136 1.1×	21 0.2×	23 0.7×	11	632
Hongchul Jang	567 1.0×	221 1.1×	78 0.6×	22 0.2×	51 1.5×	8	744
M. G. Alonso-Amigo	498 0.9×	208 1.0×	40 0.3×	23 0.2×	38 1.1×	14	620
John R. Waldeisen	417 0.7×	204 1.0×	115 0.9×	19 0.2×	75 2.1×	10	581

Countries citing papers authored by Weishan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Weishan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weishan Liu

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