Tsung‐Yu Lin

3.5k citations

13 papers · 2.0k indexed · 1 hit paper · h-index 9

Computer Vision and Pattern Recognition top 0.5%
Artificial Intelligence top 2%
Media Technology top 2%
Ecology top 10%
Radiology, Nuclear Medicine and Imaging top 10%

Co-authors: Subhransu Maji Aruni RoyChowdhury Erik Learned-Miller Kevin Winner Kyle G. Horton Daniel Sheldon Andrew Farnsworth Frank A. La Sorte
Topics: Advanced Image and Video Retrieval Techniques (4 papers)Advanced Neural Network Applications (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)
Cited by: Computer Vision and Pattern Recognition Media Technology Artificial Intelligence
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence Nature Climate Change Methods in Ecology and Evolution
Partner nations: United States United Kingdom Taiwan

In The Last Decade

Tsung‐Yu Lin

13 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bilinear CNN Models for Fine-Grained Visual Recognition

2015 1.3k citations Tsung‐Yu Lin, Aruni RoyChowdhury et al. profile →

Peers

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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13 of 13 papers shown

#	Work	Indexed citations
1	A method to obtain optimal relative electron densities of metallic samples for a density scaling-based commercial photon dose calculation algorithm 2025 ·Radiation Physics and Chemistry ·(unknown),Yi‐Chun Tsai,Chunwei Wang,(unknown),(unknown),Tsung‐Yu Lin,Chia‐Jung Wu,L. H. Wei,H. C. Liang,Sung‐Hsin Kuo	1
2	Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs 2024 ·Kanchana Ranasinghe,(unknown),Omid Poursaeed,Michael S. Ryoo,Tsung‐Yu Lin	5
3	Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning 2023 ·Jishnu Mukhoti,Tsung‐Yu Lin,Omid Poursaeed,Rui Wang,Ashish S. Shah,Philip H. S. Torr,Ser-Nam Lim	24
4	Raising the Bar on the Evaluation of Out-of-Distribution Detection 2023 ·Jishnu Mukhoti,Tsung‐Yu Lin,Bor-Chun Chen,Ashish S. Shah,Philip H. S. Torr,Puneet K. Dokania,Ser-Nam Lim	2
5	Phenology of nocturnal avian migration has shifted at the continental scale 2019 ·Nature Climate Change ·Kyle G. Horton,Frank A. La Sorte,Daniel Sheldon,Tsung‐Yu Lin,Kevin Winner,(unknown),Subhransu Maji,Wesley M. Hochachka,Andrew Farnsworth	106
6	MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks 2019 ·Methods in Ecology and Evolution ·Tsung‐Yu Lin,Kevin Winner,(unknown),(unknown),Adriaan M. Dokter,Kyle G. Horton,Cecilia Nilsson,Benjamin M. Van Doren,Andrew Farnsworth,Frank A. La Sorte,Subhransu Maji,Daniel Sheldon	63
7	Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation 2019 ·Biology Letters ·(unknown),Cecilia Nilsson,Tsung‐Yu Lin,Kevin Winner,(unknown),Subhransu Maji,Daniel Sheldon,Andrew Farnsworth,Kyle G. Horton	8
8	Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition 2017 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Tsung‐Yu Lin,Aruni RoyChowdhury,Subhransu Maji	245
9	Visualizing and Understanding Deep Texture Representations 2016 ·Tsung‐Yu Lin,Subhransu Maji	83
10	One-to-many face recognition with bilinear CNNs 2016 ·(unknown),Tsung‐Yu Lin,Subhransu Maji,Erik Learned-Miller	71
11	Bilinear CNN Models for Fine-Grained Visual Recognitionbreakdown → 2015 ·Tsung‐Yu Lin,Aruni RoyChowdhury,Subhransu Maji	1334
12	Face Identification with Bilinear CNNs. 2015 ·arXiv (Cornell University) ·Aruni RoyChowdhury,Tsung‐Yu Lin,Subhransu Maji,Erik Learned-Miller	12
13	Two optofluidic devices for the refractive index measurement of fluids 2011 ·(unknown),Tsung‐Yu Lin,Ruey‐Jen Yang	1

About Tsung‐Yu Lin

Tsung‐Yu Lin is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (218 citations) and Artificial Intelligence (679 citations). Tsung‐Yu Lin has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Subhransu Maji, Aruni RoyChowdhury, Erik Learned-Miller, Kevin Winner, Kyle G. Horton, Daniel Sheldon, Andrew Farnsworth, Frank A. La Sorte, Wesley M. Hochachka and Cecilia Nilsson. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Climate Change and Methods in Ecology and Evolution.

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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