Satoshi Tsutsui

807 total citations
18 papers, 186 citations indexed

About

Satoshi Tsutsui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Satoshi Tsutsui has authored 18 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Satoshi Tsutsui's work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Satoshi Tsutsui is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Satoshi Tsutsui collaborates with scholars based in United States, Singapore and China. Satoshi Tsutsui's co-authors include David Crandall, Yanwei Fu, Ying Shan, Yuying Ge, Xiaohu Qie, Kevin Qinghong Lin, Jinpeng Wang, Guanyu Cai, Yixiao Ge and Rui Yan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

Satoshi Tsutsui

17 papers receiving 184 citations

Peers

Countries citing papers authored by Satoshi Tsutsui

Since Specialization

Citations

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

Fields of papers citing papers by Satoshi Tsutsui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Tsutsui

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Tsutsui. A scholar is included among the top collaborators of Satoshi Tsutsui 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 Satoshi Tsutsui. Satoshi Tsutsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Digital Staining With Knowledge Distillation: A Unified Framework for Unpaired and Paired-but-Misaligned Data 2025 ·IEEE Transactions on Medical Imaging ·(unknown), Lanqing Guo, Satoshi Tsutsui, Shuyan Zhang, Alex C. Kot, Bihan Wen	0
2	Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models 2024 ·DR-NTU (Nanyang Technological University) ·(unknown), Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen, Alex C. Kot	1
3	All in One: Exploring Unified Video-Language Pre-Training 2023 ·Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou	79
4	Benchmarking White Blood Cell Classification under Domain Shift 2023 ·Satoshi Tsutsui, (unknown), Bihan Wen	6
5	Action Recognition based on Cross-Situational Action-object Statistics 2022 ·Satoshi Tsutsui, (unknown), (unknown), Yayun Zhang, David Crandall, (unknown)	1
6	INTELLIGENT BIOMETRIC TECHNIQUES in FINGERPRINT and FACE RECOGNITION 2022 ·Lakhmi C. Jain, Uğur Halıcı, Isao Hayashi, (unknown), Satoshi Tsutsui	5
7	Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Satoshi Tsutsui, Yanwei Fu, David Crandall	12
8	From Token to Word: OCR Token Evolution via Contrastive Learning and Semantic Matching for Text-VQA 2022 ·Proceedings of the 30th ACM International Conference on Multimedia ·(unknown), Mike Zheng Shou, Fang Zhou, Satoshi Tsutsui, Jingyan Qin, Xu-Cheng Yin	4
9	Whose hand is this? Person Identification from Egocentric Hand Gestures 2021 ·Satoshi Tsutsui, Yanwei Fu, David Crandall	5
10	A Computational Model of Early Word Learning from the Infant's Point of View. 2020 ·eScholarship (California Digital Library) ·Satoshi Tsutsui, (unknown), (unknown), David Crandall, Yu Chen	1
11	edge2vec: Representation learning using edge semantics for biomedical knowledge discovery 2019 ·BMC Bioinformatics ·Zheng Gao, Gang Fu, (unknown), Satoshi Tsutsui, Xiaozhong Liu, Jeremy J. Yang, (unknown), (unknown), David Wild, Ying Ding, Qi Yu	34
12	Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition 2019 ·arXiv (Cornell University) ·Satoshi Tsutsui, Yanwei Fu, David Crandall	8
13	edge2vec: Learning Node Representation Using Edge Semantics. 2018 ·IUScholarWorks Open (Indiana University) ·Zheng Gao, Gang Fu, (unknown), Satoshi Tsutsui, Xiaozhong Liu, Ying Ding	3
14	A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks 2017 ·Satoshi Tsutsui, David Crandall	14
15	Distantly Supervised Road Segmentation 2017 ·Satoshi Tsutsui, Shunta Saito, (unknown)	8
16	Superpixel clustering with deep features for unsupervised road segmentation. 2017 ·Shunta Saito, (unknown), Satoshi Tsutsui	2
17	Using Machine Reading to Understand Alzheimer’s and Related Diseases from the Literature 2017 ·Journal of Data and Information Science ·Satoshi Tsutsui, Yi Bu, Ying Ding	1
18	[Dedicated to Prof. T. Okada and Prof. T. Nishioka: data science in chemistry]Visualizing Individual and Region-specific Microbial–metabolite Relations by Important Variable Selection Using Machine Learning Approaches 2017 ·Satoshi Tsutsui, Yasuhiro Date, Jun Kikuchi	2

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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