Wenlai Tang

59 total papers · 1.6k total citations
43 papers, 1.3k citations indexed

About

Wenlai Tang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Wenlai Tang has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 13 papers in Electrical and Electronic Engineering and 9 papers in Automotive Engineering. Recurrent topics in Wenlai Tang's work include Microfluidic and Bio-sensing Technologies (21 papers), Microfluidic and Capillary Electrophoresis Applications (15 papers) and Additive Manufacturing and 3D Printing Technologies (9 papers). Wenlai Tang is often cited by papers focused on Microfluidic and Bio-sensing Technologies (21 papers), Microfluidic and Capillary Electrophoresis Applications (15 papers) and Additive Manufacturing and 3D Printing Technologies (9 papers). Wenlai Tang collaborates with scholars based in China, United States and United Kingdom. Wenlai Tang's co-authors include Nan Xiang, Liya Zhu, Jianping Shi, Jiquan Yang, Di Jiang, Zongan Li, Zhonghua Ni, Di Huang, Jiquan Yang and Na Li and has published in prestigious journals such as Biomaterials, Analytical Chemistry and Scientific Reports.

In The Last Decade

Wenlai Tang

38 papers receiving 1.3k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Wenlai Tang	954	319	260	153	101	43	1.3k
Liya Zhu	1.2k 1.2×	243 0.8×	490 1.9×	391 2.6×	116 1.1×	41	1.9k
Sungmin Hong	1.1k 1.1×	305 1.0×	335 1.3×	226 1.5×	100 1.0×	51	1.8k
Thomas J. Ober	884 0.9×	189 0.6×	436 1.7×	216 1.4×	161 1.6×	16	1.4k
Nico Keller	624 0.7×	240 0.8×	366 1.4×	125 0.8×	108 1.1×	27	1.1k
Matthias Worgull	927 1.0×	386 1.2×	154 0.6×	319 2.1×	45 0.4×	67	1.5k
Adrian J. T. Teo	738 0.8×	298 0.9×	100 0.4×	66 0.4×	66 0.7×	23	1.1k
Zongan Li	926 1.0×	147 0.5×	546 2.1×	362 2.4×	150 1.5×	55	1.8k
K. Ikuta	1.1k 1.1×	254 0.8×	170 0.7×	314 2.1×	42 0.4×	85	1.7k
Andrew J. Pascall	568 0.6×	429 1.3×	164 0.6×	377 2.5×	165 1.6×	43	1.4k
Yi Zhang	602 0.6×	212 0.7×	103 0.4×	207 1.4×	70 0.7×	54	1.3k

Countries citing papers authored by Wenlai Tang

Since Specialization

Citations

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

Fields of papers citing papers by Wenlai Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenlai Tang

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