Yuanyuan Lin

944 total citations
60 papers, 667 citations indexed

About

Yuanyuan Lin is a scholar working on Statistics and Probability, Molecular Biology and Immunology. According to data from OpenAlex, Yuanyuan Lin has authored 60 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 20 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Yuanyuan Lin's work include Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (11 papers) and Mast cells and histamine (9 papers). Yuanyuan Lin is often cited by papers focused on Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (11 papers) and Mast cells and histamine (9 papers). Yuanyuan Lin collaborates with scholars based in China, Hong Kong and United States. Yuanyuan Lin's co-authors include Kani Chen, Zhiliang Ying, Shengli Han, Qianqian Jia, Shaojun Guo, Yanni Lv, Zhanfeng Wang, Xukun Deng, Cheng Wang and Yu Zhang and has published in prestigious journals such as Journal of the American Statistical Association, Analytical Chemistry and Journal of Controlled Release.

In The Last Decade

Yuanyuan Lin

58 papers receiving 651 citations

Peers

Yuanyuan Lin
Comparison fields: 5 of 121
  • Molecular Biology 197
  • Statistics and Probability 197
  • Artificial Intelligence 76
  • Immunology 68
  • Pharmacology 61
Replace Juan Shen with:
Juan Shen China
Naisyin Wang United States
Na Hu China
Lee H. Dicker United States
Weiquan Zhang China
Mitsuru Uchiyama Japan
Darren T. Andrews United Kingdom
Deli Zhang China
X. Chen Singapore
Khursheed Alam India
Juan Shen China View profile →
Citations per field, relative to Yuanyuan Lin
Yuanyuan Lin · 1×
Citations per year, relative to Yuanyuan Lin
Yuanyuan Lin · 1×

Countries citing papers authored by Yuanyuan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yuanyuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyuan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan Lin. A scholar is included among the top collaborators of Yuanyuan Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanyuan Lin. Yuanyuan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 1
5 5
6 3
7 9
8 2
9 2
10 1
11 17
12 13
13 9
14 21
15 18
16 2
17 53
18 97
19
Research of face recognition method based on adaptive pre-process-ing and PCA
1
20 5

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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