Tianyi Li

56 total papers · 1.4k total citations
33 papers, 881 citations indexed

About

Tianyi Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tianyi Li has authored 33 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tianyi Li's work include Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (6 papers) and Video Coding and Compression Technologies (6 papers). Tianyi Li is often cited by papers focused on Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (6 papers) and Video Coding and Compression Technologies (6 papers). Tianyi Li collaborates with scholars based in China, United States and United Kingdom. Tianyi Li's co-authors include Mai Xu, Xin Deng, Zulin Wang, Ren Yang, Zhenyu Guan, Ying Chen, Qunliang Xing, Chunxiang Wang, Ming Yang and Liuyuan Deng and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and IEEE Transactions on Image Processing.

In The Last Decade

Tianyi Li

31 papers receiving 862 citations

Author Peers

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

Author Last Decade Papers Cites
Tianyi Li 517 370 87 64 55 33 881
Shengxi Li 534 1.0× 283 0.8× 129 1.5× 22 0.3× 25 0.5× 64 932
Tuyen Danh Pham 378 0.7× 127 0.3× 167 1.9× 64 1.0× 160 2.9× 36 720
Manuel Günther 334 0.6× 220 0.6× 330 3.8× 52 0.8× 56 1.0× 42 905
Rafael Marcos Luque‐Baena 353 0.7× 64 0.2× 191 2.2× 54 0.8× 26 0.5× 66 783
Dhanesh Ramachandram 343 0.7× 88 0.2× 393 4.5× 32 0.5× 144 2.6× 39 975
Zheng He 249 0.5× 144 0.4× 139 1.6× 22 0.3× 15 0.3× 74 776
Lili Pan 511 1.0× 107 0.3× 422 4.9× 26 0.4× 49 0.9× 77 967
Wei Dai 343 0.7× 198 0.5× 100 1.1× 13 0.2× 9 0.2× 91 816
Imad Rida 523 1.0× 201 0.5× 240 2.8× 35 0.5× 53 1.0× 57 1.0k
Debing Zhang 655 1.3× 229 0.6× 119 1.4× 15 0.2× 35 0.6× 26 1.0k

Countries citing papers authored by Tianyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Li. A scholar is included among the top collaborators of Tianyi Li 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 Tianyi Li. Tianyi Li 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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