Lin Lin

2.1k citations
76 papers · 1.2k · h-index 18

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 15
    • Video Analysis and Summarization 14
    • Image Retrieval and Classification Techniques 13
    • Digital Imaging for Blood Diseases 7
    • Viral gastroenteritis research and epidemiology 7
    • Antifungal resistance and susceptibility 4

Lin Lin

72 papers receiving 1.1k citations

Peers

Lin Lin
Comparison fields: 5 of 129
  • Infectious Diseases 418
  • Computer Vision and Pattern Recognition 296
  • Epidemiology 199
  • Artificial Intelligence 193
  • Signal Processing 47
Replace Jennifer R. Smith with:
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David Svoboda Czechia
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Lin Lin relative to Jennifer R. Smith United States Jennifer R. Smith's profile →
Citations per field
00.5×2.7×
Jennifer R. Smith · 1×
Citations per year

Countries citing papers authored by Lin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007242
2 201186
3 201682
4 202352
5 201144
6 200841
7 199840
8 200740
9 201338
10 201038
11 202131
12 201030
13 201028
14 201825
15 202324
16 202422
17 200921
18 200617
19 202214
20 201114

About Lin Lin

Lin Lin is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Molecular Biology, Artificial Intelligence and Signal Processing, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Video Analysis and Summarization (14 papers), Image Retrieval and Classification Techniques (13 papers), Digital Imaging for Blood Diseases (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Music and Audio Processing (4 papers), Animal Virus Infections Studies (4 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Infectious Diseases (418 citations), Computer Vision and Pattern Recognition (296 citations), Epidemiology (199 citations), Artificial Intelligence (193 citations) and Signal Processing (47 citations). Lin Lin has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Mei‐Ling Shyu, Shu‐Ching Chen, Ashraf S. Ibrahim, John E. Edwards, Samuel W. French, Yue Fu, Julie Schwartz, Brad Spellberg, Christopher D. Skory and Mohamed I. Husseiny. Their work appears in journals such as Scientific Reports, Journal of Clinical Investigation, The Journal of Immunology, PLoS neglected tropical diseases and PLoS ONE.

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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