Meiyan Wu

569 total citations
13 papers, 494 citations indexed

About

Meiyan Wu is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Polymers and Plastics. According to data from OpenAlex, Meiyan Wu has authored 13 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Molecular Biology and 4 papers in Polymers and Plastics. Recurrent topics in Meiyan Wu's work include Electrochemical sensors and biosensors (5 papers), Conducting polymers and applications (3 papers) and Electrochemical Analysis and Applications (3 papers). Meiyan Wu is often cited by papers focused on Electrochemical sensors and biosensors (5 papers), Conducting polymers and applications (3 papers) and Electrochemical Analysis and Applications (3 papers). Meiyan Wu collaborates with scholars based in China, Canada and United States. Meiyan Wu's co-authors include Xiaochen Dong, Weili Si, Wei Huang, Qian Wang, Changjin Ou, Yunyun Tang, Jinjun Shao, Ziyang Dai, Xiaoyu Huang and Peng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Chemical Communications.

In The Last Decade

Meiyan Wu

13 papers receiving 491 citations

Peers

Meiyan Wu
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 255
  • Materials Chemistry 208
  • Biomedical Engineering 136
  • Polymers and Plastics 100
  • Electrochemistry 95
Replace Huaxia Shi with:
Huaxia Shi China
Ylea Vlamidis Italy
Vongani Chauke South Africa
Jesse L. Hauser United States
Mao Shen China
Xiqing Cheng China
Kai Rong China
André L.A. Parussulo Brazil
Danyang Chen China
Huaxia Shi China View profile →
Citations per field, relative to Meiyan Wu
Meiyan Wu · 1×
Citations per year, relative to Meiyan Wu
Meiyan Wu · 1×

Countries citing papers authored by Meiyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meiyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meiyan Wu. A scholar is included among the top collaborators of Meiyan 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 Meiyan Wu. Meiyan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 17
2 9
3 17
4 110
5 39
6 17
7 40
8 44
9 112
10 15
11
Separation and determination of salidroside, caffeic acid and gallic acid in Rhodiola L. by large-volume sample stacking-sweeping-micellar electrokinetic chromatography.
2
12 69
13 3

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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