Jun Toyama

503 total citations
29 papers, 290 citations indexed

About

Jun Toyama is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jun Toyama has authored 29 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Jun Toyama's work include Video Surveillance and Tracking Methods (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Jun Toyama is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Jun Toyama collaborates with scholars based in Japan and China. Jun Toyama's co-authors include Mineichi Kudo, Masaru Shimbo, Shuai Tao, Hideyuki Imai, Hiroaki Kobayashi, Akitoshi Saito, Yosuke Hirotsu, Makoto Kawaguchi, Guoliang Lu and Yumiko Kakizaki and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Jun Toyama

25 papers receiving 284 citations

Peers

Jun Toyama
W. R. Sam Emmanuel India
Mohammad Ashfak Habib Bangladesh
Sebastian Stein United Kingdom
Anton Čižmár Slovakia
Chengcheng Jia China
Maurice Milgram France
Andrew Guillory United States
Jaekoo Lee South Korea
Samyak Jain India
Varun Raj Kompella Switzerland
W. R. Sam Emmanuel India
Jun Toyama
Citations per year, relative to Jun Toyama Jun Toyama (= 1×) peers W. R. Sam Emmanuel

Countries citing papers authored by Jun Toyama

Since Specialization
Citations

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

Fields of papers citing papers by Jun Toyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Toyama

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

All Works

20 of 20 papers shown
1.
Hirotsu, Yosuke, Hiroaki Kobayashi, Yumiko Kakizaki, et al.. (2023). Multidrug-resistant mutations to antiviral and antibody therapy in an immunocompromised patient infected with SARS-CoV-2. Med. 4(11). 813–824.e4. 37 indexed citations
2.
Toyama, Jun, et al.. (2018). Transformed statistics for tests of conditional independence in J×K×L contingency tables. Journal of Multivariate Analysis. 171. 193–208. 1 indexed citations
3.
Tao, Shuai, et al.. (2014). Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network. IEEE Transactions on Human-Machine Systems. 45(5). 550–561. 23 indexed citations
4.
Toyama, Jun, et al.. (2014). A New Family of Parametric Links for Binomial Generalized Linear Models. JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 44(2). 119–133. 2 indexed citations
5.
Tao, Shuai, et al.. (2012). Person authentication and activities analysis in an office environment using a sensor network. Communications in computer and information science. 119–127. 3 indexed citations
6.
Lu, Guoliang, Mineichi Kudo, & Jun Toyama. (2012). Temporal segmentation and assignment of successive actions in a long-term video. Pattern Recognition Letters. 34(15). 1936–1944. 4 indexed citations
7.
Toyama, Jun, et al.. (2011). Improved transformed deviance statistic for testing a logistic regression model. Journal of Multivariate Analysis. 102(9). 1263–1279. 2 indexed citations
8.
9.
Tao, Shuai, et al.. (2011). CEILING SENSOR NETWORK FOR SOFT AUTHENTICATION AND PERSON TRACKING USING EQUILIBRIUM LINE. 218–223. 3 indexed citations
10.
Toyama, Jun, Mineichi Kudo, & Hideyuki Imai. (2009). Probably correct k-nearest neighbor search in high dimensions. Pattern Recognition. 43(4). 1361–1372. 21 indexed citations
11.
Pan, Shen Q., Mineichi Kudo, & Jun Toyama. (2009). Edge Detection of Tobacco Leaf Images Based on Fuzzy Mathematical Morphology. 1219–1222. 10 indexed citations
12.
Kudo, Mineichi, et al.. (2008). Sitting posture analysis by pressure sensors. Proceedings - International Conference on Pattern Recognition. 1–4. 42 indexed citations
13.
Kudo, Mineichi, et al.. (2007). A Study on Sitting-Posture Analysis by Pressure Sensors. IEICE Technical Report; IEICE Tech. Rep.. 107(152). 41–46.
14.
Konno, Hideaki, Hideo Kanemitsu, Jun Toyama, & Masaru Shimbo. (2006). Spectral properties of Japanese whispered vowels referred to pitch. The Journal of the Acoustical Society of America. 120(5_Supplement). 3378–3378. 5 indexed citations
15.
Kudo, Mineichi, et al.. (2003). Simple termination conditions for k-nearest neighbor method. Pattern Recognition Letters. 24(9-10). 1203–1213. 4 indexed citations
16.
Kudo, Mineichi, Jun Toyama, & Masaru Shimbo. (1999). Multidimensional curve classification using passing-through regions. Pattern Recognition Letters. 20(11-13). 1103–1111. 89 indexed citations
17.
Sato, Manabu, Mineichi Kudo, Jun Toyama, & Masaru Shimbo. (1998). Construction of nonlinear discrimination function based on the MDL criterion.. Kybernetika. 34(4). 467–472. 3 indexed citations
18.
Kudo, Mineichi, et al.. (1998). Knowledge-based enhancement of low spatial resolution images. IEICE Transactions on Information and Systems. 81(5). 457–463. 2 indexed citations
19.
Toyama, Jun, et al.. (1998). An Audio Coding Using Wavelet Packets. 1998(1). 249–250. 1 indexed citations
20.
Toyama, Jun & Masaru Shimbo. (1996). Evaluation of the trajectory of vowel glide based on vector analysis. The Journal of the Acoustical Society of America. 100(4_Supplement). 2688–2688.

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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