Fei Yu

4.5k citations
243 papers · 3.2k · 1 hit paper · h-index 29

Impact in

Papers in

Fei Yu

219 papers receiving 2.9k citations

Fei Yu's Hit Papers

HuatuoGPT, Towards Taming Language Model to Be a Doctor 2023 · 105 citations
1050+1+2Years since publication255075100

Peers

Fei Yu
Comparison fields: 5 of 150
  • Electrical and Electronic Engineering 2.2k
  • Atomic and Molecular Physics, and Optics 1.1k
  • Spectroscopy 515
  • Ceramics and Composites 125
  • Health Informatics 25
Replace Lirong Wang with:
Lirong Wang China
Liang Hong China
Sang‐Il Choi South Korea
Xingyu Zhang China
R. C. Lind United States
Jun Dong China
Jun He China
Andrew Lee Australia
Richard V. Penty United Kingdom
Yong Liu China
Fei Yu relative to Lirong Wang China Lirong Wang's profile →
Citations per field
00.5×8.9×
Lirong Wang · 1×
Citations per year

Countries citing papers authored by Fei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012321
2 2015207
3 2016111
4
HuatuoGPT, Towards Taming Language Model to Be a Doctor
Hit paper breakdown →
2023105
5 2013103
6 201381
7 201274
8 202069
9 201867
10 201967
11 201965
12 201462
13 201961
14 201759
15 201458
16 201552
17 201650
18 201645
19 202342
20 201741

About Fei Yu

Fei Yu is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Spectroscopy, Biomedical Engineering and Materials Chemistry, having authored 243 papers that have together received 3.2k indexed citations. Recurring topics across this work include Photonic Crystal and Fiber Optics (112 papers), Advanced Fiber Laser Technologies (69 papers), Advanced Fiber Optic Sensors (47 papers), Spectroscopy and Laser Applications (38 papers), Optical Network Technologies (32 papers), Laser-Matter Interactions and Applications (20 papers), Solid State Laser Technologies (13 papers) and Glass properties and applications (9 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.2k citations), Atomic and Molecular Physics, and Optics (1.1k citations), Spectroscopy (515 citations), Ceramics and Composites (125 citations) and Health Informatics (25 citations). Fei Yu has collaborated with scholars based in China, United Kingdom and Poland. Frequent co-authors include J. C. Knight, W. J. Wadsworth, Dakun Wu, Jonathan D. Shephard, Duncan P. Hand, Piotr Jaworski, Meisong Liao, Zefeng Wang, Muhammad Rosdi Abu Hassan and Lili Hu. Their work appears in journals such as Optics Express, Optics Letters, Optics & Laser Technology, Photonics and IEEE photonics journal.

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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