Wen Bi Wu

11 total papers · 558 total citations
11 papers, 496 citations indexed

About

Wen Bi Wu is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Wen Bi Wu has authored 11 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Epidemiology. Recurrent topics in Wen Bi Wu's work include Advanced biosensing and bioanalysis techniques (6 papers), Respiratory viral infections research (5 papers) and Biosensors and Analytical Detection (5 papers). Wen Bi Wu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Respiratory viral infections research (5 papers) and Biosensors and Analytical Detection (5 papers). Wen Bi Wu collaborates with scholars based in China and Czechia. Wen Bi Wu's co-authors include Cheng Zhi Huang, Xiao Xi Yang, Lei Zhan, Chun Mei Li, Qiao Zeng, Yuan Fang Li, Chun Fang Liu, Mingxuan Gao, Zhu Wu and Jian Wang and has published in prestigious journals such as Biomaterials, Chemical Communications and Analytica Chimica Acta.

In The Last Decade

Wen Bi Wu

11 papers receiving 492 citations

Author Peers

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

Author						Papers	Cites
Wen Bi Wu	289	196	163	66	50	11	496
Chuanyan Li	136 0.5×	178 0.9×	208 1.3×	28 0.4×	46 0.9×	15	527
Enrique Daza	229 0.8×	186 0.9×	270 1.7×	70 1.1×	30 0.6×	17	538
Kalana W. Jayawardana	197 0.7×	103 0.5×	143 0.9×	35 0.5×	32 0.6×	13	435
Hazwani Suhaila Hashim	158 0.5×	164 0.8×	180 1.1×	181 2.7×	55 1.1×	17	449
Leila Samandari	173 0.6×	264 1.3×	214 1.3×	127 1.9×	21 0.4×	13	512
Lin Liu	219 0.8×	88 0.4×	119 0.7×	52 0.8×	43 0.9×	10	472
Siying Xie	186 0.6×	327 1.7×	145 0.9×	59 0.9×	16 0.3×	16	536
Nurul Illya Muhamad Fauzi	157 0.5×	145 0.7×	164 1.0×	163 2.5×	48 1.0×	18	423
Vahid Nasirian	127 0.4×	146 0.7×	248 1.5×	66 1.0×	16 0.3×	16	435
Elham Solhi	130 0.4×	357 1.8×	273 1.7×	119 1.8×	44 0.9×	13	502

Countries citing papers authored by Wen Bi Wu

Since Specialization

Citations

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

Fields of papers citing papers by Wen Bi Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen Bi Wu. 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 Wen Bi Wu. The network helps show where Wen Bi Wu may publish in the future.

Co-authorship network of co-authors of Wen Bi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Bi Wu. A scholar is included among the top collaborators of Wen Bi Wu 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 Wen Bi Wu. Wen Bi Wu 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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