Yijing Ai

423 citations
29 papers · 338 · h-index 12

Impact in

Papers in

Yijing Ai

28 papers receiving 333 citations

Peers

Yijing Ai
Comparison fields: 5 of 45
  • Electrochemistry 108
  • Bioengineering 51
  • Polymers and Plastics 56
  • Electrical and Electronic Engineering 187
  • Renewable Energy, Sustainability and the Environment 41
Replace Dimitrios V. Stergiou with:
Dimitrios V. Stergiou Greece
Yiting Tang China
Yanjun Feng China
Kuan‐Neng Chi China
Yalda Shoja Iran
Arunjegan Amalraj India
Jeyaraman Anupriya Taiwan
Sekar Shankar India
Sanjay Ballur Prasanna Taiwan
Thangavelu Sakthi Priya Taiwan
Yijing Ai relative to Dimitrios V. Stergiou Greece Dimitrios V. Stergiou's profile →
Citations per field
00.5×10×15×20×24.3×
Dimitrios V. Stergiou · 1×
Citations per year

Countries citing papers authored by Yijing Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yijing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yijing Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yijing Ai Line = papers co-authored together Yijing Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2 201930
3 202229
4 202027
5 202223
6 202020
7 202116
8 202316
9 202214
10 202213
11 202312
12 202312
13 202311
14 202311
15 202310
16 20248
17 20228
18 20227
19 20227
20 20246

About Yijing Ai

Yijing Ai is a scholar working on Electrical and Electronic Engineering, Electrochemistry, Molecular Biology, Polymers and Plastics and Bioengineering, having authored 29 papers that have together received 338 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (19 papers), Electrochemical Analysis and Applications (15 papers), Advanced biosensing and bioanalysis techniques (10 papers), Conducting polymers and applications (9 papers), Electrocatalysts for Energy Conversion (4 papers), Analytical Chemistry and Sensors (4 papers), RNA Interference and Gene Delivery (3 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Electrochemistry (108 citations), Bioengineering (51 citations), Polymers and Plastics (56 citations), Electrical and Electronic Engineering (187 citations) and Renewable Energy, Sustainability and the Environment (41 citations). Yijing Ai has collaborated with scholars based in China, Pakistan and Portugal. Frequent co-authors include Wei Sun, Feng Gao, Lijun Yan, Qingxiang Wang, Baoli Wang, Bei Wang, Yucen Yao, Zejun Zhang, Xiang Ye and Weiqiang Yang. Their work appears in journals such as Microchemical Journal, Microchimica Acta, New Journal of Chemistry, Molecules and Electroanalysis.

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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