Lin Yi

50 papers receiving 353 citations

Peers

Lin Yi
Comparison fields: 5 of 97
  • Molecular Medicine 22
  • Biomedical Engineering 134
  • Dermatology 27
  • Health Informatics 4
  • Periodontics 12
Replace Yingzhi Wang with:
Yingzhi Wang China
Peizhe Li China
Qin Fang China
Anabik Pal India
Yuanqi Chen China
Amer Sohail Kashif Pakistan
Zhuying Zhang China
Mukesh Taneja India
Yifen Li China
Lin Yi relative to Yingzhi Wang China Yingzhi Wang's profile →
Citations per field
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Yingzhi Wang · 1×
Citations per year

Countries citing papers authored by Lin Yi

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201848
2 201841
3 202135
4 202030
5 202020
6 201719
7 200617
8 202216
9 202311
10 202110
11 20219
12 20188
13 20238
14 20207
15 20217
16
Time Series Motif Discovery and Anomaly Detection Based on Subseries Join
20106
17 20215
18 20225
19
Development of electric control unit in electric power steering system of pure electric power bus
20064
20 20244

About Lin Yi

Lin Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Pediatrics, Perinatology and Child Health, Dermatology and Control and Systems Engineering, having authored 54 papers that have together received 363 indexed citations. Recurring topics across this work include Acne and Rosacea Treatments and Effects (5 papers), Gestational Trophoblastic Disease Studies (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Ectopic Pregnancy Diagnosis and Management (3 papers), melanin and skin pigmentation (3 papers), Herpesvirus Infections and Treatments (3 papers), Brain Tumor Detection and Classification (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Molecular Medicine (22 citations), Biomedical Engineering (134 citations), Dermatology (27 citations), Health Informatics (4 citations) and Periodontics (12 citations). Lin Yi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lixian Li, Xu Cui, Fengxiang Jing, Gang Li, Xiaojun Bian, Xiaodong Zheng, Yongpeng He, Jingchi Jiang, Yi Guan and Gang Yi. Their work appears in journals such as Analytica Chimica Acta, IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine, Expert Systems with Applications and Frontiers in Bioengineering and Biotechnology.

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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