Tomoya Sakai

662 total citations
44 papers, 184 citations indexed

About

Tomoya Sakai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tomoya Sakai has authored 44 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Tomoya Sakai's work include Image Retrieval and Classification Techniques (6 papers), Phonocardiography and Auscultation Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). Tomoya Sakai is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Phonocardiography and Auscultation Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). Tomoya Sakai collaborates with scholars based in Japan. Tomoya Sakai's co-authors include Masashi Sugiyama, Atsushi Imiya, Marthinus Christoffel du Plessis, Yao Ma, Gang Niu, Hayato Itoh, Nobuyuki Shimizu, Issei Sato, Shinichi Tanaka and Kanako Harada and has published in prestigious journals such as Neural Networks, Machine Learning and Signal Processing.

In The Last Decade

Tomoya Sakai

41 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomoya Sakai Japan	8	73	66	20	18	18	44	184
Marco Piccirilli United States	7	38 0.5×	100 1.5×	22 1.1×	6 0.3×	22 1.2×	8	182
Wenqi Shao China	10	97 1.3×	121 1.8×	11 0.6×	6 0.3×	9 0.5×	37	231
Touseef Sadiq Norway	9	45 0.6×	78 1.2×	18 0.9×	3 0.2×	10 0.6×	28	170
Hanming Deng China	5	30 0.4×	226 3.4×	33 1.6×	9 0.5×	12 0.7×	6	280
Chaitanya Kaul India	5	81 1.1×	72 1.1×	49 2.5×	28 1.6×	4 0.2×	25	221
Weiming Li China	10	30 0.4×	65 1.0×	81 4.0×	17 0.9×	19 1.1×	27	274
Yunqiu Xu China	7	52 0.7×	88 1.3×	14 0.7×	153 8.5×	53 2.9×	11	292
Robert Kaucic United States	6	56 0.8×	172 2.6×	43 2.1×	36 2.0×	34 1.9×	12	244
Yinghao Zhu China	9	70 1.0×	80 1.2×	8 0.4×	4 0.2×	10 0.6×	24	233

Countries citing papers authored by Tomoya Sakai

Since Specialization

Citations

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

Fields of papers citing papers by Tomoya Sakai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoya Sakai

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

Sakai, Tomoya, et al.. (2024). Background removal for debiasing computer-aided cytological diagnosis. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2165–2174. 1 indexed citations

Sakai, Tomoya, et al.. (2024). Unsupervised deep learning of foreground objects from low-rank and sparse dataset. Computer Vision and Image Understanding. 240. 103939–103939. 3 indexed citations

Takeda, Keita, et al.. (2023). Background Subtraction Approach to Unsupervised Cell Segmentation: Toward Excluding Spurious Features in Degraded Cytology Slides. 1–5.

Ohba, Seigo, et al.. (2022). Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology. Diagnostic Pathology. 17(1). 62–62. 5 indexed citations

Sasaki, Hiroaki, Tomoya Sakai, & Takafumi Kanamori. (2020). Robust modal regression with direct gradient approximation of modal regression risk.. Uncertainty in Artificial Intelligence. 380–389. 1 indexed citations

Sakai, Tomoya, et al.. (2018). Convex formulation of multiple instance learning from positive and unlabeled bags. Neural Networks. 105. 132–141. 12 indexed citations

Aoki, Kazuhiro, Tomoya Sakai, Masao Kametaka, et al.. (2017). Micro-textures of Deformed Gouges by Friction Experiments of Mont Terri Main Fault, Switzerland. AGUFM. 2017. 1 indexed citations

Sakai, Tomoya, Murilo M. Marinho, Shinichi Tanaka, et al.. (2016). Autonomous 3-D positioning of surgical instrument concerning compatibility with the eye surgical procedure. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016(0). 1A1–01b6. 2 indexed citations

Kobayashi, Toru, et al.. (2016). Social Media Mediation System for Closing Inter-Generational Communication Gap.. 288–293. 1 indexed citations

10.

Niu, Gang, Marthinus Christoffel du Plessis, Tomoya Sakai, Yao Ma, & Masashi Sugiyama. (2016). Theoretical comparisons of positive-unlabeled learning against positive-negative learning. neural information processing systems. 29. 1207–1215. 36 indexed citations

11.

Sakai, Tomoya, et al.. (2016). Unmixing three types of lung sounds by convex optimization. 50. 2884–2888.

12.

Itoh, Hayato, Atsushi Imiya, & Tomoya Sakai. (2016). Pattern recognition in multilinear space and its applications: mathematics, computational algorithms and numerical validations. Machine Vision and Applications. 27(8). 1259–1273. 2 indexed citations

13.

Aoki, Kazuhiro, Yasuhisa Tanaka, Masakazu Niwa, et al.. (2015). Frictional properties of Shionohira Fault Gouge of Fukushima, Japan. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

14.

Sakai, Tomoya, et al.. (2014). Signal Processing for Lung-Sound Recognition : Separation and Classification of Continuous and Discontinuous Adventitious Sounds. 114(39). 55–60. 1 indexed citations

15.

Itoh, Hayato, Atsushi Imiya, & Tomoya Sakai. (2014). Two-Dimensional Global Image Registration Using Local Linear Property of Image Manifold. 26. 3862–3867. 1 indexed citations

16.

Sakai, Tomoya, et al.. (2014). Registration of infrared transmission images using squared-loss mutual information. Precision Engineering. 39. 187–193. 2 indexed citations

17.

Sakai, Tomoya, et al.. (2012). Sparse representation-based extraction of pulmonary sound components from low-quality auscultation signals. 344. 509–512. 3 indexed citations

18.

Sakai, Tomoya, et al.. (2011). Semi-supervised method for land cover classification of remotely sensed image considering spatial arrangement of the pixels. Society of Instrument and Control Engineers of Japan. 2402–2405. 1 indexed citations

19.

Sakai, Tomoya. (2006). PDE-Based Image Processing (2). 24(5). 429–432. 1 indexed citations

20.

Sakai, Tomoya. (1996). [Left anterior fascicular block, left posterior fascicular block, left septal fascicular block].. PubMed. 282–4. 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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