Shengnian Wang

69 total papers · 2.3k total citations
51 papers, 1.9k citations indexed

About

Shengnian Wang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Biotechnology. According to data from OpenAlex, Shengnian Wang has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 16 papers in Electrical and Electronic Engineering and 13 papers in Biotechnology. Recurrent topics in Shengnian Wang's work include Microfluidic and Bio-sensing Technologies (24 papers), Microbial Inactivation Methods (13 papers) and Microfluidic and Capillary Electrophoresis Applications (11 papers). Shengnian Wang is often cited by papers focused on Microfluidic and Bio-sensing Technologies (24 papers), Microbial Inactivation Methods (13 papers) and Microfluidic and Capillary Electrophoresis Applications (11 papers). Shengnian Wang collaborates with scholars based in United States, China and Russia. Shengnian Wang's co-authors include Siyi Lai, Marc Madou, Shang‐Tian Yang, Jun Luo, William W. Yu, Vicki L. Colvin, Shengyu Feng, Quinton Rice, Jaetae Seo and Chun Sun and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Shengnian Wang

50 papers receiving 1.8k citations

Hit Papers

Excitation wavelength ind... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shengnian Wang 874 726 563 302 257 51 1.9k
Binbin Chu 814 0.9× 827 1.1× 634 1.1× 550 1.8× 89 0.3× 73 2.1k
Zhengchun Liu 795 0.9× 402 0.6× 554 1.0× 529 1.8× 44 0.2× 106 2.0k
Tarja K. Nevanen 803 0.9× 643 0.9× 351 0.6× 475 1.6× 122 0.5× 33 1.6k
Pen‐Cheng Wang 1.2k 1.4× 498 0.7× 1.4k 2.6× 88 0.3× 49 0.2× 69 2.5k
Amgad R. Rezk 1.3k 1.5× 660 0.9× 700 1.2× 151 0.5× 26 0.1× 65 2.0k
Zhaohui Zheng 510 0.6× 718 1.0× 134 0.2× 202 0.7× 133 0.5× 89 2.1k
Bin Song 923 1.1× 1.2k 1.6× 331 0.6× 675 2.2× 130 0.5× 76 2.1k
Chao Wang 746 0.9× 828 1.1× 334 0.6× 451 1.5× 49 0.2× 42 1.9k
Junho Ahn 474 0.5× 512 0.7× 267 0.5× 775 2.6× 35 0.1× 75 1.5k
Yumiao Zhang 1.5k 1.7× 607 0.8× 249 0.4× 529 1.8× 54 0.2× 89 2.5k

Countries citing papers authored by Shengnian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengnian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnian Wang

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