Nobuyoshi Asai

612 total citations · 1 hit paper
27 papers, 378 citations indexed

About

Nobuyoshi Asai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nobuyoshi Asai has authored 27 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nobuyoshi Asai's work include Quantum Computing Algorithms and Architecture (6 papers), Matrix Theory and Algorithms (6 papers) and Quantum Information and Cryptography (5 papers). Nobuyoshi Asai is often cited by papers focused on Quantum Computing Algorithms and Architecture (6 papers), Matrix Theory and Algorithms (6 papers) and Quantum Information and Cryptography (5 papers). Nobuyoshi Asai collaborates with scholars based in Japan, Bangladesh and Singapore. Nobuyoshi Asai's co-authors include Jungpil Shin, Nobuyoshi Nakajima, N. Kondo, Hiroshi Kamada, Md. Al Mehedi Hasan, M. F. Mridha, Masanori Tamaoki, Dongsheng Cai, Md. Maniruzzaman and Masakazu Fukuda and has published in prestigious journals such as IEEE Access, Plant Cell & Environment and Mathematics of Computation.

In The Last Decade

Nobuyoshi Asai

24 papers receiving 357 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.

Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges

2024 50 citations Jamin Rahman Jim, M. F. Mridha et al. IEEE Access profile →

Peers

Countries citing papers authored by Nobuyoshi Asai

Since Specialization

Citations

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

Fields of papers citing papers by Nobuyoshi Asai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuyoshi Asai

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

#	Work	Indexed citations
1	Machine Learning-Based Differential Diagnosis of Parkinson’s Disease Using Kinematic Feature Extraction and Selection 2025 ·IEEE Access ·Masahiro Matsumoto, Abu Saleh Musa Miah, Nobuyoshi Asai, Jungpil Shin	2
2	Performance upper bound of a Grover-mixer quantum alternating operator ansatz 2025 ·Physical review. A ·(unknown), (unknown), Tiejin Chen, (unknown), (unknown), Nobuyoshi Asai, Dongsheng Cai	1
3	A feasibility-preserved quantum approximate solver for the Capacitated Vehicle Routing Problem 2024 ·Quantum Information Processing ·(unknown), (unknown), Dongsheng Cai, (unknown), Nobuyoshi Asai, Hoong Chuin Lau	6
4	Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges breakdown → 2024 ·IEEE Access ·(unknown), (unknown), (unknown), Jamin Rahman Jim, M. F. Mridha, Md. Mohsin Kabir, Nobuyoshi Asai, Jungpil Shin	50
5	A Quantum Q-Learning Model for the Capacitated Vehicle Routing Problem 2024 ·(unknown), (unknown), (unknown), (unknown), Nobuyoshi Asai, Dongsheng Cai	0
6	Iterative layerwise training for the quantum approximate optimization algorithm 2024 ·Physical review. A ·(unknown), (unknown), (unknown), Dongsheng Cai, (unknown), Nobuyoshi Asai	6
7	A Depth-Progressive Initialization Strategy for Quantum Approximate Optimization Algorithm 2023 ·Mathematics ·(unknown), (unknown), Dongsheng Cai, (unknown), Nobuyoshi Asai	12
8	Quantum approximate optimization algorithm parameter prediction using a convolutional neural network 2023 ·Journal of Physics Conference Series ·(unknown), (unknown), Dongsheng Cai, Yoshiyuki Saito, Nobuyoshi Asai	6
9	Dynamic Hand Gesture Recognition Using Effective Feature Extraction and Attention Based Deep Neural Network. 2023 ·Abu Saleh Musa Miah, Jungpil Shin, Md. Al Mehedi Hasan, (unknown), Nobuyoshi Asai	10
10	Skeleton-based Hand Gesture Recognition using Geometric Features and Spatio-Temporal Deep Learning Approach 2023 ·Abu Saleh Musa Miah, Jungpil Shin, Md. Al Mehedi Hasan, Yusuke Fujimoto, Nobuyoshi Asai	9
11	Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques 2023 ·IEEE Access ·Md. Maniruzzaman, Md. Al Mehedi Hasan, Nobuyoshi Asai, Jungpil Shin	41
12	On computing eigenvalues of Lamé equation and zeros of Whittaker function by matrix method 2015 ·AIP conference proceedings ·Nobuyoshi Asai, Yoshinori Miyazaki	1
13	Numerical computation of the eigenvalues for the spheroidal wave equation with accurate error estimation by matrix method. 2006 ·Yoshinori Miyazaki, Nobuyoshi Asai, Dongsheng Cai, Yasuhiko Ikebe	3
14	Improvement in ozone tolerance of tobacco plants with an antisense DNA for 1‐aminocyclopropane‐1‐carboxylate synthase 2002 ·Plant Cell & Environment ·Nobuyoshi Nakajima, (unknown), (unknown), Nobuyoshi Asai, Masanori Tamaoki, Mitsuko Aono, Akihiro Kubo, Yoshitaka Azumi, Hiroshi Kamada, Hikaru Saji	32
15	Role of Malate Synthesis Mediated by Phosphoenolpyruvate Carboxylase in Guard Cells in the Regulation of Stomatal Movement 2000 ·Plant and Cell Physiology ·Nobuyoshi Asai, Nobuyoshi Nakajima, Masanori Tamaoki, Hiroshi Kamada, N. Kondo	50
16	The Effect of Osmotic Stress on the Solutes in Guard Cells of Vicia faba L. 1999 ·Plant and Cell Physiology ·Nobuyoshi Asai, Nobuyoshi Nakajima, N. Kondo, Hiroshi Kamada	10
17	Dynamic Organization of Microtubules in Guard Cells of Viciafaba L. with Diurnal Cycle 1998 ·Plant and Cell Physiology ·Masakazu Fukuda, Seiichiro Hasezawa, Nobuyoshi Asai, Nobuyoshi Nakajima, N. Kondo	50
18	Matrix methods for the numerical solution of z J?? (z) + HJ? (z) = 0 1997 ·Electronics and Communications in Japan (Part III Fundamental Electronic Science) ·Nobuyoshi Asai, Yoshinori Miyazaki, Dongsheng Cai, K. Hirasawa, Yasuhiko Ikebe	2
19	The eigenvalue problem for infinite complex symmetric tridiagonal matrices with application 1996 ·Linear Algebra and its Applications ·Yasuhiko Ikebe, Nobuyoshi Asai, Yoshinori Miyazaki, Dongsheng Cai	15
20	The eigenvalue problem for infinite compact complex symmetric matrices with application to the numerical computation of complex zeros of J0(z) − iJ1(z) and of Bessel functions Jm(z) of any real order m 1993 ·Linear Algebra and its Applications ·Yasuhiko Ikebe, Yasushi Kikuchi, Issei Fujishiro, Nobuyoshi Asai, (unknown), (unknown)	6

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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