Hideki Yagi

2.1k total citations
110 papers, 1.6k citations indexed

About

Hideki Yagi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hideki Yagi has authored 110 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Electrical and Electronic Engineering, 37 papers in Computer Networks and Communications and 23 papers in Artificial Intelligence. Recurrent topics in Hideki Yagi's work include Wireless Communication Security Techniques (34 papers), Error Correcting Code Techniques (31 papers) and Solid State Laser Technologies (28 papers). Hideki Yagi is often cited by papers focused on Wireless Communication Security Techniques (34 papers), Error Correcting Code Techniques (31 papers) and Solid State Laser Technologies (28 papers). Hideki Yagi collaborates with scholars based in Japan, Russia and United States. Hideki Yagi's co-authors include K. Takaichi, Alexander A. Kaminskii, Ken‐ichi Ueda, Takagimi Yanagitani, K. Ueda, T. Yanagitani, Brian M. Kurkoski, Takahiko Yanagitani, A. Shirakawa and Jean‐François Bisson and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Information Theory and Journal of Alloys and Compounds.

In The Last Decade

Hideki Yagi

95 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Yagi Japan 21 1.2k 760 593 495 174 110 1.6k
Gino Sorbello Italy 23 1.2k 1.0× 235 0.3× 462 0.8× 292 0.6× 102 0.6× 139 1.6k
Keisuke Kojima United States 25 2.4k 2.0× 106 0.1× 1.0k 1.7× 41 0.1× 264 1.5× 235 3.0k
Patrick Lysaght United States 26 1.5k 1.2× 618 0.8× 207 0.3× 26 0.1× 316 1.8× 93 2.0k
Fabrizio Di Pasquale Italy 34 2.9k 2.4× 116 0.2× 1.4k 2.3× 123 0.2× 13 0.1× 186 3.1k
Shuqin Lou China 28 2.4k 2.0× 189 0.2× 884 1.5× 38 0.1× 9 0.1× 193 2.7k
Jian-Gang Zhu United States 23 514 0.4× 416 0.5× 1.7k 2.8× 8 0.0× 144 0.8× 177 2.2k
B. T. Meggitt United Kingdom 23 1.0k 0.9× 129 0.2× 332 0.6× 29 0.1× 30 0.2× 61 1.3k
Ahmad Fauzi Abas Malaysia 19 1.1k 0.9× 150 0.2× 540 0.9× 104 0.2× 25 0.1× 148 1.3k
Liaoyuan Chen China 18 179 0.1× 206 0.3× 116 0.2× 46 0.1× 45 0.3× 66 1.4k
Yoshinori Takei Japan 16 161 0.1× 361 0.5× 117 0.2× 128 0.3× 9 0.1× 91 813

Countries citing papers authored by Hideki Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Yagi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Yagi. A scholar is included among the top collaborators of Hideki Yagi 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 Hideki Yagi. Hideki Yagi 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.
Yagi, Hideki, et al.. (2024). Optimum Achievable Rates in Two Random Number Generation Problems with f-Divergences Using Smooth Rényi Entropy. Entropy. 26(9). 766–766. 1 indexed citations
2.
Yagi, Hideki, et al.. (2022). Secret Key-based Authentication With Passive Eavesdropper for Scalar Gaussian Sources. 2022 IEEE International Symposium on Information Theory (ISIT). 2666–2671. 7 indexed citations
3.
Yagi, Hideki, et al.. (2020). Biometric Identification Systems with Both Chosen and Generated Secrecy. International Symposium on Information Theory and its Applications. 417–421.
4.
Yagi, Hideki, et al.. (2019). Optimum Overflow Thresholds in Variable-Length Source Coding Allowing Non-Vanishing Error Probability. IEEE Transactions on Information Theory. 65(12). 8213–8221. 1 indexed citations
5.
Yagi, Hideki, et al.. (2018). On the Minimum Cost of Information Erasure for Stationary Memoryless Sources. IEICE Technical Report; IEICE Tech. Rep.. 118(139). 25–29.
6.
Yagi, Hideki, et al.. (2016). Reliability function and strong converse of biomedical identification systems. International Symposium on Information Theory and its Applications. 547–551. 5 indexed citations
7.
Yagi, Hideki, et al.. (2014). Fixed-Length Lossy Source Coding Theorems with Small Excess Distortion Probability. IEICE Technical Report; IEICE Tech. Rep.. 114(138). 71–76. 1 indexed citations
8.
Yagi, Hideki, et al.. (2014). Channel dispersion for well-ordered mixed channels decomposed into memoryless channels. International Symposium on Information Theory and its Applications. 35–39. 5 indexed citations
9.
Yagi, Hideki, et al.. (2014). Single-Letter Characterization of Epsilon-Capacity for Mixed Memoryless Channels. 113(483). 19–26. 1 indexed citations
10.
Yagi, Hideki. (2012). Finite blocklength bounds for multiple access channels with correlated sources. International Symposium on Information Theory and its Applications. 377–381. 4 indexed citations
11.
Yagi, Hideki, et al.. (2009). Coding for Multiple Access Channels with Common Information based on LDPC Codes. IEICE Technical Report; IEICE Tech. Rep.. 109(212). 37–42.
12.
Yagi, Hideki, et al.. (2007). Image Retrieval Using Bit-Plane for JPEG2000 Coded Texture Image. IEICE technical report. Speech. 107(380). 39–43. 1 indexed citations
13.
Yagi, Hideki, Toshiyasu Matsushima, & Shigeichi Hirasawa. (2006). Decoding Performance of Linear Parallel Error Correcting Codes. 29(1). 189–192.
14.
Yagi, Hideki, et al.. (2006). On Correctable Burst-Erasure Lengths for LDPC Codes with Column Permuted Parity-Check Matrices. 29(2). 645–648.
15.
Yagi, Hideki, et al.. (2005). A Decoding Algorithm for q-ary Turbo Codes by Deleting Trellis Branches. IEICE Technical Report; IEICE Tech. Rep.. 105(190). 9–14.
16.
Feng, Yan, Jianren Lu, K. Takaichi, et al.. (2004). Passively Q-switched ceramic Nd^3+:YAG/Cr^4+:YAG lasers. Applied Optics. 43(14). 2944–2944. 37 indexed citations
17.
Yagi, Hideki, Toshiyasu Matsushima, & Shigeichi Hirasawa. (2003). A Method for Reducing Space Complexity of Reliability based Heuristic Search Maximum Likelihood Decoding Algorithms. 26(1). 185–188. 2 indexed citations
18.
Yagi, Hideki, et al.. (2003). Complexity Reduction of the Gazelle and Snyders Decoding Algorithm for Maximum Likelihood Decoding. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(10). 2461–2472. 4 indexed citations
19.
Lu, Jianren, T. Murai, K. Takaichi, et al.. (2001). Nd 3+ :Y 2 O 3 Ceramic Laser. Japanese Journal of Applied Physics. 40(12). 1277. 10 indexed citations
20.
Lu, Jianren, Jie Song, Mahendra Prabhu, et al.. (2000). High-Power Nd : Y_3Al_5O_ Ceramic Laser. Japanese Journal of Applied Physics. 39(10). 1048. 5 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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