Fei Yan

2.8k citations
71 papers · 2.4k · h-index 33

Impact in

Papers in

Fei Yan

70 papers receiving 2.4k citations

Peers

Fei Yan
Comparison fields: 5 of 81
  • Electrochemistry 865
  • Bioengineering 458
  • Biomedical Engineering 942
  • Electrical and Electronic Engineering 1.1k
  • Molecular Biology 1.2k
Replace Karen Scida with:
Karen Scida United States
Shengyuan Deng China
Guihua Zhou United States
Byung‐Kwon Kim South Korea
Reza Karimi Shervedani Iran
Noseung Myung United States
Padmanathan Karthick Kannan India
Rongjing Cui China
Mingfang Li China
Shilpa N. Sawant India
Fei Yan relative to Karen Scida United States Karen Scida's profile →
Citations per field
00.5×2×3×4×4.6×
Karen Scida · 1×
Citations per year

Countries citing papers authored by Fei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Yan, 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 Fei Yan Line = papers co-authored together Fei Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018154
2 2015104
3 201689
4 202286
5 201980
6 202278
7 202168
8 202067
9 202065
10 201464
11 202257
12 202356
13 201854
14 201553
15 201953
16 201652
17 202050
18 202349
19 202243
20 202443

About Fei Yan

Fei Yan is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Electrochemistry, Biomedical Engineering and Bioengineering, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (34 papers), Electrochemical Analysis and Applications (32 papers), Electrochemical sensors and biosensors (30 papers), Analytical Chemistry and Sensors (24 papers), Nanopore and Nanochannel Transport Studies (16 papers), Biosensors and Analytical Detection (8 papers), Fuel Cells and Related Materials (5 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Electrochemistry (865 citations), Bioengineering (458 citations), Biomedical Engineering (942 citations), Electrical and Electronic Engineering (1.1k citations) and Molecular Biology (1.2k citations). Fei Yan has collaborated with scholars based in China, Czechia and Singapore. Frequent co-authors include Bin Su, Jiyang Liu, Xingyu Lin, Huaxu Zhou, Xiaoyu Zhou, Lina Yao, Fengna Xi, Jie Huang, Peng Chen and Jiawei Gong. Their work appears in journals such as Frontiers in Chemistry, Molecules, Sensors and Actuators B Chemical, Analytical Chemistry and International Journal of Oral and Maxillofacial Surgery.

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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