Shiyun Ai

14.7k citations
303 papers · 12.9k indexed · h-index 61
Topics
Advanced biosensing and bioanalysis techniques (184 papers)Electrochemical sensors and biosensors (90 papers)Electrochemical Analysis and Applications (62 papers)

In The Last Decade

Shiyun Ai

299 papers receiving 12.6k citations

Peers

Shiyun Ai
Comparison fields: 5 of 141
  • Molecular Biology 6.7k
  • Electrical and Electronic Engineering 5.1k
  • Materials Chemistry 3.3k
  • Biomedical Engineering 3.2k
  • Electrochemistry 3.1k
Replace Tianyan You with:
Tianyan You China
Mehmet Lütfi Yola Türkiye
Pratima R. Solanki India
Abdollah Salimi Iran
Hong Qun Luo China
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Nian Bing Li China
Feng Li China
Emmanuel I. Iwuoha South Africa
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Citations per field
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Tianyan You · 1×
Citations per year

Countries citing papers authored by Shiyun Ai

Since Specialization
Citations

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

Fields of papers citing papers by Shiyun Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyun Ai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 33
4 50
5 6
6 9
7 77
8 15
9 10
10 39
11 60
12 29
13 13
14 13
15 61
16 54
17 131
18
Electrochemical Determination of Reduced Glutathione at Multiwalled Carbon Nanotubes/Poly(bromocresol green) Modified Glassy Carbon Electrode
3
19 19
20
ESR Study on the Photoinduced Production of Hydroxyl Radicals by Nano-TiO2
2

About Shiyun Ai

Shiyun Ai is a scholar working on Electrochemistry, Bioengineering and Renewable Energy, Sustainability and the Environment, having authored 303 papers that have together received 12.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (184 papers), Electrochemical sensors and biosensors (90 papers) and Electrochemical Analysis and Applications (62 papers). The work is most often cited by research in Electrochemistry (3.1k citations), Bioengineering (1.5k citations) and Polymers and Plastics (1.5k citations). Shiyun Ai has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Huanshun Yin, Yunlei Zhou, Lusheng Zhu, Qiang Ma, Xiaomeng Meng, Jing Dong, Bing Sun, Zhenning Xu, Yunlei Zhou and Lin Cui. Their work appears in journals such as Advanced Functional Materials, Analytical Chemistry and The Science of The Total Environment.

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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