Shohei Hido

1.4k total citations
15 papers, 825 citations indexed

About

Shohei Hido is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Shohei Hido has authored 15 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Signal Processing. Recurrent topics in Shohei Hido's work include Anomaly Detection Techniques and Applications (6 papers), Fault Detection and Control Systems (4 papers) and Face and Expression Recognition (3 papers). Shohei Hido is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Fault Detection and Control Systems (4 papers) and Face and Expression Recognition (3 papers). Shohei Hido collaborates with scholars based in Japan, United States and Germany. Shohei Hido's co-authors include Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori, Yutaka Takahashi, Yuta Tsuboi, Steffen Bickel, Hiroyuki Kawano, Liwei Wang, Taiji Suzuki and Ichiro Takeuchi and has published in prestigious journals such as Journal of Machine Learning Research, Knowledge and Information Systems and Statistical Analysis and Data Mining The ASA Data Science Journal.

In The Last Decade

Shohei Hido

14 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shohei Hido Japan 12 590 151 128 118 83 15 825
Rohan A. Baxter Australia 11 713 1.2× 171 1.1× 147 1.1× 59 0.5× 137 1.7× 19 1.0k
Frank Chung-Hoon Rhee South Korea 15 703 1.2× 239 1.6× 81 0.6× 198 1.7× 31 0.4× 41 1.0k
Rana Aamir Raza Ashfaq China 9 471 0.8× 116 0.8× 158 1.2× 45 0.4× 310 3.7× 16 702
Yi-Ren Yeh Taiwan 15 642 1.1× 549 3.6× 147 1.1× 45 0.4× 118 1.4× 39 1.1k
Qi Lei China 12 266 0.5× 96 0.6× 48 0.4× 71 0.6× 124 1.5× 35 656
Yifei Wang China 11 334 0.6× 71 0.5× 192 1.5× 48 0.4× 156 1.9× 31 779
Ryohei Fujimaki Japan 12 310 0.5× 73 0.5× 87 0.7× 40 0.3× 97 1.2× 40 505
Tamalika Chaira India 17 371 0.6× 566 3.7× 59 0.5× 88 0.7× 78 0.9× 38 1.1k
Mehrdad Farajtabar United States 19 368 0.6× 199 1.3× 65 0.5× 26 0.2× 67 0.8× 37 860
Sashank J. Reddi United States 13 484 0.8× 106 0.7× 28 0.2× 64 0.5× 50 0.6× 30 592

Countries citing papers authored by Shohei Hido

Since Specialization
Citations

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

Fields of papers citing papers by Shohei Hido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohei Hido

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

All Works

15 of 15 papers shown
1.
Hido, Shohei. (2017). Artificial Intelligence Technology for Industrial Robot Applications. Journal of the Robotics Society of Japan. 35(3). 186–190. 1 indexed citations
2.
Maruyama, Hiroshi, Daisuke Okanohara, & Shohei Hido. (2013). Data Marketplace for Efficient Data Placement. 702–705. 4 indexed citations
3.
Tatsubori, Michiaki & Shohei Hido. (2012). Opportunistic Adversaries: On Imminent Threats to Learning-Based Business Automation. 120–129.
4.
Hido, Shohei, Shōko Suzuki, Takashi Imamichi, et al.. (2012). Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. Journal of Information Processing. 20(3). 655–666. 15 indexed citations
5.
Hido, Shohei, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, & Takafumi Kanamori. (2010). Statistical outlier detection using direct density ratio estimation. Knowledge and Information Systems. 26(2). 309–336. 111 indexed citations
6.
Kanamori, Takafumi, Shohei Hido, & Masashi Sugiyama. (2009). A Least-squares Approach to Direct Importance Estimation. Journal of Machine Learning Research. 10(48). 1391–1445. 211 indexed citations
7.
Hido, Shohei & Hisashi Kashima. (2009). A Linear-Time Graph Kernel. 179–188. 63 indexed citations
8.
Sugiyama, Masashi, Takafumi Kanamori, Taiji Suzuki, et al.. (2009). A Density-ratio Framework for Statistical Data Processing. 1. 183–208. 25 indexed citations
9.
Hido, Shohei, Hisashi Kashima, & Yutaka Takahashi. (2009). Roughly balanced bagging for imbalanced data. Statistical Analysis and Data Mining The ASA Data Science Journal. 2(5-6). 412–426. 168 indexed citations
10.
Tsuboi, Yuta, Hisashi Kashima, Shohei Hido, Steffen Bickel, & Masashi Sugiyama. (2009). Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Journal of Information Processing. 17. 138–155. 58 indexed citations
11.
Kanamori, Takafumi, Shohei Hido, & Masashi Sugiyama. (2008). Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection. Tokyo Tech Research Repository (Tokyo Institute of Technology). 21. 809–816. 43 indexed citations
12.
Hido, Shohei, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, & Takafumi Kanamori. (2008). Inlier-Based Outlier Detection via Direct Density Ratio Estimation. 223–232. 47 indexed citations
13.
Hido, Shohei & Hisashi Kashima. (2008). Roughly Balanced Bagging for Imbalanced Data. 143–152. 27 indexed citations
14.
Tsuboi, Yuta, Hisashi Kashima, Shohei Hido, Steffen Bickel, & Masashi Sugiyama. (2008). Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. 443–454. 34 indexed citations
15.
Hido, Shohei & Hiroyuki Kawano. (2006). AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases. 170–177. 18 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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