Yasuaki Ito

2.1k total citations
179 papers, 1.4k citations indexed

About

Yasuaki Ito is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Yasuaki Ito has authored 179 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 56 papers in Computer Vision and Pattern Recognition and 47 papers in Hardware and Architecture. Recurrent topics in Yasuaki Ito's work include Algorithms and Data Compression (40 papers), Parallel Computing and Optimization Techniques (30 papers) and Network Packet Processing and Optimization (21 papers). Yasuaki Ito is often cited by papers focused on Algorithms and Data Compression (40 papers), Parallel Computing and Optimization Techniques (30 papers) and Network Packet Processing and Optimization (21 papers). Yasuaki Ito collaborates with scholars based in Japan, Brazil and United States. Yasuaki Ito's co-authors include Koji Nakano, Tomomichi Hagiwara, Jacir L. Bordim, Yoshio Ebihara, Xin Zhou, Yuko Yamaguchi‐Iwai, Masanobu Satake, M Sakai, Masamichi Muramatsu and Yota Murakami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Yasuaki Ito

163 papers receiving 1.4k citations

Peers

Yasuaki Ito

CVPR

CNC

CTM

Nicola Bombieri Italy

Serdar Taşiran United States

Stjepan Picek Netherlands

Kai Lü China

Felipe M. G. França Brazil

Apostolos Dollas Greece

Domagoj Jakobović Croatia

Daniel Lopresti United States

David Chiu United States

Dongdai Lin China

Nicola Bombieri Italy

Yasuaki Ito

148 ×0.3

202 ×0.5

CVPR

554 ×1.5

266 ×0.9

CNC

185 ×0.8

CTM

Citations per year, relative to Yasuaki Ito Yasuaki Ito (= 1×) peers Nicola Bombieri

Countries citing papers authored by Yasuaki Ito

Since Specialization

Citations

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

Fields of papers citing papers by Yasuaki Ito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuaki Ito

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

All Works

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20 of 20 papers shown

Ito, Yasuaki, et al.. (2025). GPU-Accelerated Fock Matrix Computation with Efficient Reduction. Applied Sciences. 15(9). 4779–4779.

Ito, Yasuaki, et al.. (2025). Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations. Applied Sciences. 15(5). 2572–2572. 1 indexed citations

Ito, Yasuaki, et al.. (2024). GPU Acceleration of the Boys Function Evaluation in Computational Quantum Chemistry. Concurrency and Computation Practice and Experience. 37(2). 1 indexed citations

Ito, Yasuaki, et al.. (2024). Introduction to Computational Quantum Chemistry for Computer Scientists. 273–282. 6 indexed citations

Li, X. H., et al.. (2023). Bit duplication technique to generate hard quadratic unconstrained binary optimization problems with adjustable sizes. Concurrency and Computation Practice and Experience. 36(10). 2 indexed citations

Nakano, Koji, et al.. (2023). Dual-Matrix Domain Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes. SHILAP Revista de lepidopterología. 11(5). 143–143. 3 indexed citations

Ito, Yasuaki, et al.. (2022). Graphics processing unit‐accelerated high‐quality watercolor painting image generation. Concurrency and Computation Practice and Experience. 35(19).

Nakano, Koji, et al.. (2022). GPU implementations of deflate encoding and decoding. Concurrency and Computation Practice and Experience. 35(19).

Ito, Yasuaki, et al.. (2021). A novel structured sparse fully connected layer in convolutional neural networks. Concurrency and Computation Practice and Experience. 35(11). 8 indexed citations

10.

Ito, Yasuaki, et al.. (2021). High‐throughput FPGA implementation for quadratic unconstrained binary optimization. Concurrency and Computation Practice and Experience. 35(14). 9 indexed citations

11.

Nakano, Koji, et al.. (2021). Simple iterative trial search for the maximum independent set problem optimized for the GPUs. Concurrency and Computation Practice and Experience. 35(14). 5 indexed citations

12.

Nakano, Koji, et al.. (2020). Efficient parallel implementations to compute the diameter of a graph. Concurrency and Computation Practice and Experience. 35(11). 2 indexed citations

13.

Kuroda, Y., et al.. (2019). Tile art image generation using parallel greedy algorithm on the GPU and its approximation with machine learning. Concurrency and Computation Practice and Experience. 33(12). 4 indexed citations

14.

Nakano, Koji, et al.. (2019). Efficient implementations of Bloom filter using block RAMs and DSP slices on the FPGA. Concurrency and Computation Practice and Experience. 33(12).

15.

Ito, Yasuaki, et al.. (2018). Bulk execution of the dynamic programming for the optimal polygon triangulation problem on the GPU. Concurrency and Computation Practice and Experience. 31(19). 2 indexed citations

16.

Nakano, Koji, et al.. (2017). Adaptive loss‐less data compression method optimized for GPU decompression. Concurrency and Computation Practice and Experience. 29(24). 11 indexed citations

17.

Bordim, Jacir L., et al.. (2015). A Fast Approximate String Matching Algorithm on GPU. 188–192. 11 indexed citations

18.

Bordim, Jacir L., Yasuaki Ito, & Koji Nakano. (2003). Accelerating the CKY Parsing Using FPGAs. IEICE Transactions on Information and Systems. 86(5). 803–810. 27 indexed citations

19.

Ito, Yasuaki, et al.. (1982). [An experimental crossover study between hydroxymethylene diphosphonate kit and methylene diphosphonate (author's transl)].. PubMed. 31(1). 32–4.

20.

Ito, Takehiro, Shirabe Matsumoto, & Yasuaki Ito. (1978). [Chronic heart failure and vasodilator therapy].. PubMed. 36(11). 3565–72. 2 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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