Tianyu Shen

743 citations
45 papers · 510 indexed · h-index 12
Topics
Advanced Neural Network Applications (10 papers)AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Journals
SHILAP Revista de lepidopterologíaBloodJournal of Agricultural and Food Chemistry
Partner nations
ChinaMacaoJapan

In The Last Decade

Tianyu Shen

39 papers receiving 498 citations

Peers

Tianyu Shen
Comparison fields: 5 of 109
  • Artificial Intelligence 197
  • Computer Vision and Pattern Recognition 163
  • Radiology, Nuclear Medicine and Imaging 104
  • Automotive Engineering 54
  • Neurology 39
Replace L. Padma Suresh with:
L. Padma Suresh India
A. Ahilan India
Nouf Abdullah Almujally Saudi Arabia
R. Karthick India
Chengwei Pan China
Yinan Chen China
R. Joshua Samuel Raj India
Syed Moshfeq Salaken Australia
A. Balasundaram India
Fayçal Hamdaoui Tunisia
Tianyu Shen relative to L. Padma Suresh India L. Padma Suresh's profile →
Citations per field
00.5×2.9×
L. Padma Suresh · 1×
Citations per year

Countries citing papers authored by Tianyu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Tianyu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Shen. A scholar is included among the top collaborators of Tianyu 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 Tianyu Shen. Tianyu 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
#WorkIndexed citations
1 0
2 1
3 5
4 6
5 13
6 0
7 0
8 0
9 0
10 7
11 0
12 10
13 73
14 33
15 67
16 21
17 39
18 32
19 30
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Contrast Gain Control for Color Image Quality.
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About Tianyu Shen

Tianyu Shen is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 45 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Artificial Intelligence (197 citations) and Neurology (39 citations). Tianyu Shen has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Fei‐Yue Wang, Chao Gou, Jiangong Wang, Yutong Wang, Xiao Wang, Yonglin Tian, Hui Yu, Long Chen, Weiguo Chen and Nanning Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Journal of Agricultural and Food Chemistry.

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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