Yi‐Hsuan Tsai

3.8k total citations
41 papers, 1.5k citations indexed

About

Yi‐Hsuan Tsai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yi‐Hsuan Tsai has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Yi‐Hsuan Tsai's work include Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Yi‐Hsuan Tsai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Yi‐Hsuan Tsai collaborates with scholars based in United States, Taiwan and China. Yi‐Hsuan Tsai's co-authors include Ming–Hsuan Yang, Jingchun Cheng, Shengjin Wang, Wei-Chih Hung, Michael J. Black, Wei-Chen Chiu, Min Sun, Yu-Ting Chang, Qiaosong Wang and Robinson Piramuthu and has published in prestigious journals such as Oncogene, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Yi‐Hsuan Tsai

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yi‐Hsuan Tsai United States 17 1.2k 328 144 114 57 41 1.5k
Guangliang Cheng China 17 731 0.6× 341 1.0× 159 1.1× 88 0.8× 65 1.1× 33 988
Wei-Chen Chiu Taiwan 16 873 0.7× 242 0.7× 166 1.2× 145 1.3× 77 1.4× 55 1.1k
Yifan Liu China 17 920 0.7× 268 0.8× 253 1.8× 141 1.2× 55 1.0× 50 1.3k
Ambrish Tyagi United States 9 954 0.8× 413 1.3× 160 1.1× 82 0.7× 75 1.3× 13 1.2k
Seungryong Kim South Korea 22 1.1k 0.9× 191 0.6× 257 1.8× 240 2.1× 31 0.5× 101 1.4k
François Rameau South Korea 13 555 0.4× 245 0.7× 104 0.7× 142 1.2× 77 1.4× 29 743
Hongyang Li China 14 806 0.6× 374 1.1× 90 0.6× 126 1.1× 79 1.4× 25 1.0k
Seunghoon Hong South Korea 13 967 0.8× 321 1.0× 71 0.5× 90 0.8× 55 1.0× 25 1.2k
Yanghai Tsin United States 13 1.4k 1.1× 183 0.6× 150 1.0× 207 1.8× 24 0.4× 26 1.5k
Jiachen Li China 11 500 0.4× 179 0.5× 112 0.8× 76 0.7× 35 0.6× 21 694

Countries citing papers authored by Yi‐Hsuan Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Hsuan Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Hsuan Tsai. 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 Yi‐Hsuan Tsai. The network helps show where Yi‐Hsuan Tsai may publish in the future.

Co-authorship network of co-authors of Yi‐Hsuan Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Hsuan Tsai. A scholar is included among the top collaborators of Yi‐Hsuan Tsai 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 Yi‐Hsuan Tsai. Yi‐Hsuan Tsai 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
1.
2.
Damrauer, Jeffrey S., Jennifer L. Modliszewski, Yi‐Hsuan Tsai, et al.. (2025). An FGFR-p53 developmental signaling axis drives salivary cancer progression. Oncogene. 44(32). 2876–2892.
3.
Tsai, Yi‐Hsuan, et al.. (2025). Photooxygenation Reactions of Olefins Under Flow Conditions: An Experimental and In‐Silico Study. ChemPhotoChem. 9(6). 1 indexed citations
4.
Tsai, Yi‐Hsuan, et al.. (2024). On a seamlessly replicable circular photoreactor for lab-scale continuous flow applications. Reaction Chemistry & Engineering. 9(7). 1646–1655. 2 indexed citations
5.
Huang, Kuan‐Chih, et al.. (2024). PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection. 14938–14947. 3 indexed citations
6.
7.
Chen, Hsiu‐Mei, Yi‐Hsuan Tsai, Chien‐Yi Hsu, et al.. (2023). Peptide-Coated Bacteriorhodopsin-Based Photoelectric Biosensor for Detecting Rheumatoid Arthritis. Biosensors. 13(10). 929–929. 5 indexed citations
8.
Huang, Kuan‐Chih, Ming–Hsuan Yang, & Yi‐Hsuan Tsai. (2023). Delving into Motion-Aware Matching for Monocular 3D Object Tracking. 6886–6895. 4 indexed citations
9.
Tsai, Yi‐Hsuan, et al.. (2023). Multimodal Prompting with Missing Modalities for Visual Recognition. 14943–14952. 55 indexed citations
10.
Tsai, Yi‐Hsuan, et al.. (2023). Effects of Video Prompting with Augmented Reality on Functional Living Skills of Students with Intellectual and Developmental Disabilities. Journal of Special Education Technology. 39(1). 3–14. 3 indexed citations
11.
Liu, Chang, Yu Xiang, Yi‐Hsuan Tsai, et al.. (2022). Learning to Learn across Diverse Data Biases in Deep Face Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4062–4072. 10 indexed citations
12.
Chen, Yiwen, Yi‐Hsuan Tsai, & Ming–Hsuan Yang. (2022). Understanding Synonymous Referring Expressions via Contrastive Features. International Journal of Computer Vision. 130(10). 2501–2516. 2 indexed citations
13.
Wang, Yufeng, Yi‐Hsuan Tsai, Wei-Chih Hung, et al.. (2022). Semi-supervised Multi-task Learning for Semantics and Depth. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2663–2672. 11 indexed citations
14.
Kim, Donghyun, Yi‐Hsuan Tsai, Bingbing Zhuang, et al.. (2021). Learning Cross-Modal Contrastive Features for Video Domain Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13598–13607. 45 indexed citations
15.
Wang, Fu-En, et al.. (2020). BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. 459–468. 117 indexed citations
16.
Wang, Fu-En, et al.. (2019). Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation. 5880–5886. 21 indexed citations
17.
Cheng, Jingchun, Yi‐Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, & Ming–Hsuan Yang. (2018). Fast and Accurate Online Video Object Segmentation via Tracking Parts. 7415–7424. 148 indexed citations
18.
Tsai, Yi‐Hsuan, et al.. (2017). Learning to tell brake and turn signals in videos using CNN-LSTM structure. 1–6. 16 indexed citations
19.
Tsai, Yi‐Hsuan, Ming–Hsuan Yang, & Michael J. Black. (2016). Video Segmentation via Object Flow. 3899–3908. 198 indexed citations
20.
Chen, Yi-Ting, Yuwei Chen, Kun‐You Chung, et al.. (2016). Ethylene glycol modified 2-(2′-aminophenyl)benzothiazoles at the amino site: the excited-state N-H proton transfer reactions in aqueous solution, micelles and potential application in live-cell imaging. Methods and Applications in Fluorescence. 4(1). 14004–14004. 4 indexed citations

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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