Hiroaki Kudo

766 total citations
87 papers, 491 citations indexed

About

Hiroaki Kudo is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Hiroaki Kudo has authored 87 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 17 papers in Cognitive Neuroscience and 12 papers in Media Technology. Recurrent topics in Hiroaki Kudo's work include Visual perception and processing mechanisms (14 papers), Speech and Audio Processing (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). Hiroaki Kudo is often cited by papers focused on Visual perception and processing mechanisms (14 papers), Speech and Audio Processing (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). Hiroaki Kudo collaborates with scholars based in Japan, United States and Thailand. Hiroaki Kudo's co-authors include Tetsuya Matsumoto, Noboru Ohnishi, Yoshinori Takeuchi, Kazuaki Kudo, Shigenao Kawai, Kentaro Kutsukake, Noritaka Usami, Ukrit Watchareeruetai, Matsuo Uemura and Masahiro WATANABE and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Hiroaki Kudo

71 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroaki Kudo Japan	14	159	118	87	67	59	87	491
Xiaochu Liu China	14	279 1.8×	88 0.7×	55 0.6×	96 1.4×	68 1.2×	73	682
Shengbo Wang China	11	164 1.0×	89 0.8×	104 1.2×	155 2.3×	49 0.8×	32	496
Yibo Li China	14	159 1.0×	99 0.8×	52 0.6×	21 0.3×	73 1.2×	41	650
Domenico Longo Italy	14	165 1.0×	54 0.5×	187 2.1×	136 2.0×	27 0.5×	55	767
Xiaopeng Huang China	15	116 0.7×	43 0.4×	51 0.6×	26 0.4×	93 1.6×	48	1.0k
Nguyen Truong Thinh Vietnam	13	127 0.8×	41 0.3×	171 2.0×	153 2.3×	29 0.5×	101	721
Amir Hamza Pakistan	12	83 0.5×	51 0.4×	58 0.7×	19 0.3×	35 0.6×	43	352
Yunxia Wang China	13	199 1.3×	32 0.3×	52 0.6×	53 0.8×	62 1.1×	43	513
E. Furtado De Simas Filho Brazil	11	247 1.6×	186 1.6×	24 0.3×	52 0.8×	31 0.5×	58	489
Jinli Wang China	15	37 0.2×	28 0.2×	43 0.5×	54 0.8×	78 1.3×	99	704

Countries citing papers authored by Hiroaki Kudo

Since Specialization

Citations

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

Fields of papers citing papers by Hiroaki Kudo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Kudo

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

Kutsukake, Kentaro, et al.. (2025). Two‐Stage GAN‐Based Generation of Virtual 3D Multicrystalline Silicon Reproducing Nucleation and Crystal Growth Processes Using Crystallographic Information from Real Ingots. 1(2). 1 indexed citations

Kutsukake, Kentaro, et al.. (2025). A machine learning approach to reveal microstructures contributing to dislocation clusters in multicrystalline silicon. Journal of Applied Physics. 137(19). 1 indexed citations

Usami, Noritaka, et al.. (2024). Multicrystalline informatics: a methodology to advance materials science by unraveling complex phenomena. Science and Technology of Advanced Materials. 25(1). 2396272–2396272. 6 indexed citations

Kutsukake, Kentaro, et al.. (2023). A machine learning-based prediction of crystal orientations for multicrystalline materials. SHILAP Revista de lepidopterología. 1(2). 6 indexed citations

Kutsukake, Kentaro, et al.. (2023). 3D CNN and grad-CAM based visualization for predicting generation of dislocation clusters in multicrystalline silicon. SHILAP Revista de lepidopterología. 1(3). 7 indexed citations

Ohno, Yutaka, Kentaro Kutsukake, Tatsuya Yokoi, et al.. (2023). Multicrystalline Informatics Applied to Multicrystalline Silicon for Unraveling the Microscopic Root Cause of Dislocation Generation. Advanced Materials. 36(8). e2308599–e2308599. 10 indexed citations

Kato, Hikaru, et al.. (2020). Crystallographic orientation prediction of multicrystalline silicon substrate using machine learning. IEICE Technical Report; IEICE Tech. Rep.. 119(454). 81–84. 1 indexed citations

Kudo, Hiroaki, Tetsuya Matsumoto, Kentaro Kutsukake, & Noritaka Usami. (2018). Examination of dimensionality of multilayer perceptron estimating dislocation regions in multicrystalline silicon photoluminescence image. IEICE Technical Report; IEICE Tech. Rep.. 118(256). 19–24. 1 indexed citations

Kudo, Hiroaki, et al.. (2017). Estimation by non-negative matrix factorization of dislocation regions in photoluminescence image of multicrystalline silicon. IEICE Technical Report; IEICE Tech. Rep.. 117(356). 13–18. 1 indexed citations

10.

Kudo, Hiroaki, et al.. (2010). Detecting the sirens of emergency vehicles for safe driving. IEICE Technical Report; IEICE Tech. Rep.. 109(467). 15–20. 1 indexed citations

11.

Takeuchi, Yoshinori, et al.. (2009). A Finger Navigation Method for the Visually Impaired in Operating a Touch Panel. IEICE Technical Report; IEICE Tech. Rep.. 108(435). 53–58. 3 indexed citations

12.

Kudo, Kazuaki, Hiroaki Kudo, & Shigenao Kawai. (2007). Cadmium uptake in barley affected by iron concentration of the medium: Role of phytosiderophores. Soil Science & Plant Nutrition. 53(3). 259–266. 17 indexed citations

13.

Ohnishi, Noboru, et al.. (2007). Retrieval-Combination Approach to Estimate 3D Human Pose from Monocular Image. Journal of information processing. 2(3). 723–733.

14.

Watchareeruetai, Ukrit, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, & Noboru Ohnishi. (2007). A Lawn Weed Detection in Winter Season Based on Color Information.. Machine Vision and Applications. 524–527. 3 indexed citations

15.

Takeuchi, Yoshinori, et al.. (2006). Extraction of character strings on a curved surface and correction of their distortion. 105(615). 13–18.

16.

Bashar, Md. Khayrul, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, & Noboru Ohnishi. (2003). Unsupervised Texture Segmentation via Wavelet-based Locally Orderless Images (WLOIs) and SOM.. 279–284. 11 indexed citations

17.

Kudo, Hiroaki, Tsuyoshi Yamamura, Noboru Ohnishi, Shin Kobayashi, & Noboru Sugie. (1999). A neural network model of dynamically fluctuating perception of Necker cube as well as dot patterns. National Conference on Artificial Intelligence. 194–199. 1 indexed citations

18.

Yamamura, Tsuyoshi, et al.. (1998). A Neural Network Model of Dynamical Grouping Process. International Conference on Neural Information Processing. 319–322.

19.

Kudo, Hiroaki, et al.. (1994). Distribution of the Binocular Fixation Positions while Gazing at the Rim of a Cylinder: Effect of the Upper-Surface Visibility.. The Journal of the Institute of Television Engineers of Japan. 48(6). 717–726.

20.

Kudo, Hiroaki, et al.. (1970). Study of the Pass Schedule in Conventional Spinning. Nihon Kikai Gakkaishi/Journal of the Japan Society of Mechanical Engineers. 73(614). 363–370. 1 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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