Fei Yan

4.6k citations
197 papers · 3.6k · h-index 34

Impact in

Papers in

Fei Yan

192 papers receiving 3.6k citations

Peers

Fei Yan
Comparison fields: 5 of 161
  • Biomaterials 666
  • Electronic, Optical and Magnetic Materials 734
  • Biophysics 201
  • Water Science and Technology 375
  • Electrochemistry 162
Replace Peter M. Fredericks with:
Peter M. Fredericks Australia
Lucian Barbu–Tudoran Romania
Natalia P. Ivleva Germany
Stefan Heißler Germany
Jean‐François Bardeau France
Dalva Lúcia Araújo de Faria Brazil
Maria Lucia Curri Italy
Admir Mašić Germany
Jun Chen China
Liya E. Yu Singapore
Fei Yan relative to Peter M. Fredericks Australia Peter M. Fredericks's profile →
Citations per field
00.5×1.5×2.1×
Peter M. Fredericks · 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 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005183
2 2003148
3 2020131
4 2006122
5 2003120
6 2005107
7 202096
8 200595
9 200894
10 201674
11 201667
12 200162
13 202059
14 200558
15 201752
16 201048
17 200646
18 200145
19 201744
20 200644

About Fei Yan

Fei Yan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomaterials, Molecular Biology and Biomedical Engineering, having authored 197 papers that have together received 3.6k indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (34 papers), Minerals Flotation and Separation Techniques (24 papers), Advanced biosensing and bioanalysis techniques (24 papers), Gold and Silver Nanoparticles Synthesis and Applications (24 papers), Silicon Carbide Semiconductor Technologies (15 papers), Advanced Photocatalysis Techniques (14 papers), 2D Materials and Applications (13 papers) and MXene and MAX Phase Materials (12 papers). The work is most often cited by research in Biomaterials (666 citations), Electronic, Optical and Magnetic Materials (734 citations), Biophysics (201 citations), Water Science and Technology (375 citations) and Electrochemistry (162 citations). Fei Yan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Tuan Vo‐Dinh, Musundi B. Wabuyele, Raoul Kopelman, Omowunmi A. Sadik, Basant Chitara, Yongan Tang, Amy T. Kan, Mason B. Tomson, Zhaoyi Dai and Tej B. Limbu. Their work appears in journals such as Chemical Communications, Materials Letters, SPE Journal, Journal of Applied Physics and Analytica Chimica Acta.

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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