Tsung‐Yu Lin

34 total papers · 3.5k total citations
13 papers, 1.9k citations indexed

About

Tsung‐Yu Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecological Modeling. According to data from OpenAlex, Tsung‐Yu Lin has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Ecological Modeling. Recurrent topics in Tsung‐Yu Lin's work include Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (4 papers). Tsung‐Yu Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (4 papers). Tsung‐Yu Lin collaborates with scholars based in United States, United Kingdom and Taiwan. Tsung‐Yu Lin's co-authors include Subhransu Maji, Aruni RoyChowdhury, Erik Learned-Miller, Kevin Winner, Kyle G. Horton, Andrew Farnsworth, Daniel Sheldon, Frank A. La Sorte, Wesley M. Hochachka and Cecilia Nilsson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Climate Change and Methods in Ecology and Evolution.

In The Last Decade

Tsung‐Yu Lin

13 papers receiving 1.9k citations

Hit Papers

Bilinear CNN Models for F... 2015 2026 2018 2022 2015 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Tsung‐Yu Lin 1.3k 677 214 177 129 13 1.9k
Zehua Huang 987 0.7× 331 0.5× 303 1.4× 128 0.7× 153 1.2× 16 1.7k
Steve Branson 978 0.7× 746 1.1× 85 0.4× 150 0.8× 46 0.4× 16 1.8k
Heliang Zheng 1.6k 1.2× 972 1.4× 237 1.1× 46 0.3× 142 1.1× 13 2.1k
Sergiu Oprea 948 0.7× 374 0.6× 215 1.0× 129 0.7× 174 1.3× 13 2.0k
Alberto García-García 1.1k 0.9× 417 0.6× 224 1.0× 132 0.7× 183 1.4× 33 2.5k
Ruby C. Weng 1.1k 0.8× 1.3k 2.0× 387 1.8× 198 1.1× 94 0.7× 24 3.2k
Zhi Zhang 817 0.6× 422 0.6× 132 0.6× 58 0.3× 115 0.9× 40 1.7k
Grant Van Horn 848 0.6× 770 1.1× 79 0.4× 278 1.6× 105 0.8× 17 1.7k
Eric N. Mortensen 1.3k 1.0× 192 0.3× 139 0.6× 59 0.3× 193 1.5× 28 1.9k
L.D. Hostetler 1.2k 0.9× 884 1.3× 322 1.5× 91 0.5× 76 0.6× 16 2.6k

Countries citing papers authored by Tsung‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tsung‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsung‐Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Yu Lin. A scholar is included among the top collaborators of Tsung‐Yu 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 Tsung‐Yu Lin. Tsung‐Yu Lin 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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