Tianyu Shen

65 total papers · 730 total citations
45 papers, 500 citations indexed

About

Tianyu Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tianyu Shen has authored 45 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tianyu Shen's work include Advanced Neural Network Applications (10 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Tianyu Shen is often cited by papers focused on Advanced Neural Network Applications (10 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Tianyu Shen collaborates with scholars based in China, Macao and United States. Tianyu Shen's co-authors include Fei‐Yue Wang, Chao Gou, Jiangong Wang, Yutong Wang, Xiao Wang, Yonglin Tian, Hui Yu, Weiguo Chen, Weijie Ren and Xiangbin Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Agricultural and Food Chemistry.

In The Last Decade

Tianyu Shen

39 papers receiving 487 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tianyu Shen	193	160	102	54	37	45	500
Chengwei Pan	136 0.7×	181 1.1×	114 1.1×	58 1.1×	31 0.8×	29	573
Biswaranjan Acharya	158 0.8×	113 0.7×	90 0.9×	23 0.4×	31 0.8×	76	555
Yaghoub Pourasad	160 0.8×	237 1.5×	93 0.9×	49 0.9×	48 1.3×	30	535
Mohak Shah	174 0.9×	159 1.0×	62 0.6×	84 1.6×	45 1.2×	24	537
Bayram Akdemïr	203 1.1×	212 1.3×	130 1.3×	14 0.3×	57 1.5×	43	616
Ahmed Tamtaoui	123 0.6×	145 0.9×	62 0.6×	18 0.3×	22 0.6×	57	483
Saddaf Rubab	146 0.8×	123 0.8×	94 0.9×	17 0.3×	42 1.1×	51	579
R. Joshua Samuel Raj	131 0.7×	96 0.6×	56 0.5×	21 0.4×	42 1.1×	28	498
Yinan Chen	162 0.8×	312 1.9×	142 1.4×	77 1.4×	53 1.4×	28	588
Jianwei Chen	115 0.6×	73 0.5×	90 0.9×	14 0.3×	23 0.6×	46	568

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

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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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