Fumihiko Ino

973 total citations
72 papers, 598 citations indexed

About

Fumihiko Ino is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fumihiko Ino has authored 72 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 28 papers in Hardware and Architecture and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fumihiko Ino's work include Parallel Computing and Optimization Techniques (26 papers), Advanced Data Storage Technologies (17 papers) and Distributed and Parallel Computing Systems (14 papers). Fumihiko Ino is often cited by papers focused on Parallel Computing and Optimization Techniques (26 papers), Advanced Data Storage Technologies (17 papers) and Distributed and Parallel Computing Systems (14 papers). Fumihiko Ino collaborates with scholars based in Japan, China and Sweden. Fumihiko Ino's co-authors include Kenichi Hagihara, Noriyuki Fujimoto, A. Takeuchi, T. OKUYAMA, Yoshinobu Sato, Shinichi Tamura, Yuki Kotani, Nariaki Fujimoto, Yasuyuki Matsushita and Yuki Kawasaki and has published in prestigious journals such as BMC Bioinformatics, Knowledge-Based Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Fumihiko Ino

64 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fumihiko Ino Japan	15	235	228	192	105	85	72	598
Anne C. Elster Norway	10	192 0.8×	112 0.5×	108 0.6×	96 0.9×	87 1.0×	50	501
Young Choi South Korea	15	131 0.6×	184 0.8×	251 1.3×	101 1.0×	18 0.2×	61	593
Manuel Ujaldón Spain	13	193 0.8×	165 0.7×	128 0.7×	185 1.8×	40 0.5×	47	581
Andrew Sohn United States	11	177 0.8×	246 1.1×	170 0.9×	198 1.9×	168 2.0×	50	577
Byunghyun Jang United States	10	89 0.4×	400 1.8×	431 2.2×	78 0.7×	30 0.4×	35	732
D. T. Lee Taiwan	11	173 0.7×	79 0.3×	44 0.2×	229 2.2×	12 0.1×	29	489
R. Stefanelli Italy	11	224 1.0×	247 1.1×	279 1.5×	95 0.9×	8 0.1×	62	706
Larry Seiler United States	10	435 1.9×	577 2.5×	621 3.2×	92 0.9×	30 0.4×	20	1.2k
Benedict R. Gaster United Kingdom	7	83 0.4×	306 1.3×	334 1.7×	124 1.2×	9 0.1×	31	546
Gabriel Falcão Portugal	18	219 0.9×	544 2.4×	122 0.6×	175 1.7×	32 0.4×	106	1.1k

Countries citing papers authored by Fumihiko Ino

Since Specialization

Citations

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

Fields of papers citing papers by Fumihiko Ino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumihiko Ino

This figure shows the co-authorship network connecting the top 25 collaborators of Fumihiko Ino. A scholar is included among the top collaborators of Fumihiko Ino 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 Fumihiko Ino. Fumihiko Ino 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

Gao, Congming, et al.. (2025). Overlapping Aware Data Placement Optimizations for LSM Tree-Based Store on ZNS SSDs. ACM Transactions on Architecture and Code Optimization. 22(2). 1–25.

Ino, Fumihiko, et al.. (2023). A compression-based memory-efficient optimization for out-of-core GPU stencil computation. The Journal of Supercomputing. 79(10). 11055–11077. 3 indexed citations

Ino, Fumihiko, et al.. (2022). A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 1 indexed citations

Fu, Changzeng, et al.. (2020). A Study on Training Story Generation Models Based on Event Representations. 210–214.

Matsushita, Yasuyuki, et al.. (2020). Block Randomized Singular Value Decomposition on GPUs. IEICE Transactions on Information and Systems. E103.D(9). 1949–1959. 1 indexed citations

Ino, Fumihiko, et al.. (2018). GPU‐based branch‐and‐bound method to solve large 0‐1 knapsack problems with data‐centric strategies. Concurrency and Computation Practice and Experience. 31(4). 13 indexed citations

Ito, Masato & Fumihiko Ino. (2018). An Automated Method for Generating Training Sets for Deep Learning based Image Registration. 140–147. 4 indexed citations

Ino, Fumihiko, et al.. (2016). Reducing memory usage by the lifting-based discrete wavelet transform with a unified buffer on a GPU. Journal of Parallel and Distributed Computing. 93-94. 44–55. 10 indexed citations

Ino, Fumihiko, et al.. (2016). Towards Automating Multi-dimensional Data Decomposition for Executing a Single-GPU Code on a Multi-GPU System. 16. 408–414. 2 indexed citations

10.

Ino, Fumihiko, et al.. (2015). Accelerating the Smith-Waterman algorithm with interpair pruning and band optimization for the all-pairs comparison of base sequences. BMC Bioinformatics. 16(1). 321–321. 17 indexed citations

11.

Ino, Fumihiko, et al.. (2013). GPU-Chariot: A Programming Framework for Stream Applications Running on Multi-GPU Systems. IEICE Transactions on Information and Systems. E96.D(12). 2604–2616. 2 indexed citations

12.

Ino, Fumihiko, et al.. (2012). Improving Cache Locality for Ray Casting with CUDA. 339–350. 3 indexed citations

13.

Ino, Fumihiko, et al.. (2010). Out-of-core cone beam reconstruction using multiple GPUs. 16. 792–795. 3 indexed citations

14.

OKUYAMA, T., Fumihiko Ino, & Kenichi Hagihara. (2008). A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU. 284–291. 14 indexed citations

15.

Ino, Fumihiko, et al.. (2007). Vectorizing Mathematical Morphology Using the GPU. IPSJ SIG Notes. 2007(13). 73–78. 1 indexed citations

16.

Ino, Fumihiko, et al.. (2006). Two-stage compression for fast volume rendering of time-varying scalar data. 275–284. 5 indexed citations

17.

Ino, Fumihiko, et al.. (2006). A parallel implementation of 2-D/3-D image registration for computer-assisted surgery. International Journal of Bioinformatics Research and Applications. 2(4). 341–341. 11 indexed citations

18.

Ino, Fumihiko, Yuki Kawasaki, Yoshikazu Nakajima, et al.. (2006). A Parallel Implementation of 2-D/3-D Image Registration for Computer-Assisted Surgery. 2. 316–320. 3 indexed citations

19.

Ino, Fumihiko, et al.. (2004). Evaluation of Performance Prediction Method for Master/Slave Parallel Programs. 87(4). 967–975.

20.

Ino, Fumihiko, Noriyuki Fujimoto, & Kenichi Hagihara. (2001). LogGPS. ACM SIGPLAN Notices. 36(7). 133–142. 11 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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