Lili Shen

1.3k total citations
88 papers, 894 citations indexed

About

Lili Shen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lili Shen has authored 88 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Computer Vision and Pattern Recognition and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lili Shen's work include Gastric Cancer Management and Outcomes (14 papers), Image and Video Quality Assessment (13 papers) and Advanced Image Fusion Techniques (8 papers). Lili Shen is often cited by papers focused on Gastric Cancer Management and Outcomes (14 papers), Image and Video Quality Assessment (13 papers) and Advanced Image Fusion Techniques (8 papers). Lili Shen collaborates with scholars based in China, United States and Australia. Lili Shen's co-authors include Zhaoqing Pan, Bo Peng, Deyu Guo, Yueping Li, You Liang, Liyun Fu, Jianjun Lei, Yaoren Hu, Xia Zhang and Guangning Yan and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Lili Shen

78 papers receiving 875 citations

Peers

Lili Shen
Comparison fields: 5 of 151
  • Molecular Biology 251
  • Oncology 138
  • Computer Vision and Pattern Recognition 137
  • Cancer Research 127
  • Cognitive Neuroscience 88
Replace Wenlong Tang with:
Wenlong Tang China
Karsten Rodenacker Germany
Yusuke Fujita Japan
Bowen Chen United States
Francesca Gallivanone Italy
Tariq Aslam United Kingdom
Xiaoyu Qu China
Yuancheng Wang China
Jiaqi Chen China
Wenlong Tang China View profile →
Citations per field, relative to Lili Shen
Lili Shen · 1×
Citations per year, relative to Lili Shen
Lili Shen · 1×

Countries citing papers authored by Lili Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lili Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Shen. A scholar is included among the top collaborators of Lili Shen 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 Lili Shen. Lili Shen 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 1
2 1
3 23
4 1
5 0
6 11
7 4
8 12
9 2
10 10
11 2
12 29
13 11
14 11
15 4
16 10
17 2
18
An Improved Least Independent Loops Searching Algorithm in Control Network
2
19
Research Advances on the Pollination Biology of Primula
2
20 2

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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