Lin Yu

707 citations
12 papers · 424 · 1 hit paper · h-index 7

Impact in

Papers in

Lin Yu

11 papers receiving 419 citations

Lin Yu's Hit Papers

Rapid Detection of COVID-19 Coronavirus Using a Reverse Transcriptional Loop-Mediated Isothermal Amplification (RT-LAMP) Diagnostic Platform 2020 · 335 citations
3350+2+4Years since publication100200300

Peers

Lin Yu
Comparison fields: 5 of 58
  • Infectious Diseases 312
  • Biomedical Engineering 271
  • Molecular Biology 173
  • Radiology, Nuclear Medicine and Imaging 57
  • Health Informatics 3
Replace Lingling Mao with:
Lingling Mao China
Fu Sun United States
Linqing Zhao China
Yejiong Yu United Kingdom
Khristine Joy C. Antigua South Korea
Andrew Freistaedter United States
Jihye Um South Korea
Anita Wong Canada
Lin Yu relative to Lingling Mao China Lingling Mao's profile →
Citations per field
00.5×1.5×
Lingling Mao · 1×
Citations per year

Countries citing papers authored by Lin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Rapid Detection of COVID-19 Coronavirus Using a Reverse Transcriptional Loop-Mediated Isothermal Amplification (RT-LAMP) Diagnostic Platform
Hit paper breakdown →
2020335
2 201923
3 201817
4 201813
5 202411
6 20248
7 20217
8 20205
9 20233
10
Application of the reverse transcription loop-mediated isothermal amplification technique in detection of Norovirus gene.
20091
11 20251
12 20250

About Lin Yu

Lin Yu is a scholar working on Infectious Diseases, Materials Chemistry, Mechanics of Materials, Public Health, Environmental and Occupational Health and Mechanical Engineering, having authored 12 papers that have together received 424 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (3 papers), Metal Alloys Wear and Properties (3 papers), Microstructure and Mechanical Properties of Steels (3 papers), Mosquito-borne diseases and control (3 papers), Metallurgy and Material Forming (2 papers), Biosensors and Analytical Detection (2 papers), Vector-borne infectious diseases (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Infectious Diseases (312 citations), Biomedical Engineering (271 citations), Molecular Biology (173 citations), Radiology, Nuclear Medicine and Imaging (57 citations) and Health Informatics (3 citations). Lin Yu has collaborated with scholars based in China, Sweden and South Korea. Frequent co-authors include Shanshan Wu, Xiushan Yin, Lingling Mao, Vicent Pelechano, Wei‐Hua Chen, Xiaowen Hao, Xue Dong, Yuemin Pan, Guogen Yang and Hongxia Chen. Their work appears in journals such as Journal of Materials Research and Technology, European Journal of Plant Pathology, Clinical Chemistry, BioMed Research International and International Journal of Infectious Diseases.

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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