Hitoshi Kiya

4.8k total citations
456 papers, 3.0k citations indexed

About

Hitoshi Kiya is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hitoshi Kiya has authored 456 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 382 papers in Computer Vision and Pattern Recognition, 153 papers in Signal Processing and 72 papers in Artificial Intelligence. Recurrent topics in Hitoshi Kiya's work include Advanced Steganography and Watermarking Techniques (134 papers), Chaos-based Image/Signal Encryption (122 papers) and Advanced Data Compression Techniques (110 papers). Hitoshi Kiya is often cited by papers focused on Advanced Steganography and Watermarking Techniques (134 papers), Chaos-based Image/Signal Encryption (122 papers) and Advanced Data Compression Techniques (110 papers). Hitoshi Kiya collaborates with scholars based in Japan, United States and Greece. Hitoshi Kiya's co-authors include Yuma Kinoshita, Masahiro Iwahashi, Sayaka Shiota, Tatsuya Chuman, Warit Sirichotedumrong, Masaaki Fujiyoshi, Shoko Imaizumi, Kenta Kurihara, Osamu Watanabe and Kiyoshi Nishikawa and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Hitoshi Kiya

403 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Kiya Japan 26 2.5k 792 642 238 224 456 3.0k
Oscar C. Au Hong Kong 32 4.1k 1.6× 1.6k 2.0× 406 0.6× 515 2.2× 264 1.2× 371 4.6k
Fréderic Dufaux France 30 3.3k 1.3× 1.2k 1.5× 223 0.3× 627 2.6× 188 0.8× 187 3.7k
Gregory K. Wallace United States 6 3.7k 1.4× 1.2k 1.5× 736 1.1× 298 1.3× 185 0.8× 8 4.3k
Athinodoros S. Georghiades United States 12 3.6k 1.4× 693 0.9× 639 1.0× 682 2.9× 988 4.4× 16 4.0k
V. Cappellini Italy 20 1.6k 0.6× 322 0.4× 254 0.4× 179 0.8× 88 0.4× 105 2.0k
Athanassios Skodras Greece 22 2.8k 1.1× 1.1k 1.4× 382 0.6× 241 1.0× 145 0.6× 111 3.5k
D. Lee United States 9 2.1k 0.8× 668 0.8× 336 0.5× 201 0.8× 336 1.5× 18 2.6k
Ping Wah Wong United States 19 1.9k 0.7× 194 0.2× 222 0.3× 192 0.8× 111 0.5× 47 2.1k
Ricardo L. de Queiroz Brazil 27 2.7k 1.0× 1.0k 1.3× 92 0.1× 335 1.4× 698 3.1× 176 3.0k
C. Christopoulos Sweden 16 3.0k 1.2× 1.5k 1.9× 277 0.4× 210 0.9× 105 0.5× 37 3.3k

Countries citing papers authored by Hitoshi Kiya

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Kiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Kiya

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Kiya. A scholar is included among the top collaborators of Hitoshi Kiya 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 Hitoshi Kiya. Hitoshi Kiya 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.
Chuman, Tatsuya & Hitoshi Kiya. (2023). A Jigsaw Puzzle Solver-Based Attack on Image Encryption Using Vision Transformer for Privacy-Preserving DNNs. Information. 14(6). 311–311. 2 indexed citations
2.
Ito, Hiroki, Yuma Kinoshita, & Hitoshi Kiya. (2020). Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation. 822–825. 8 indexed citations
3.
Masumura, Ryo, et al.. (2020). Japanese dialect speech classification using sequence-to-one neural networks. IEICE Technical Report; IEICE Tech. Rep.. 119(441). 41–46. 1 indexed citations
4.
Iwahashi, Masahiro & Hitoshi Kiya. (2012). Two Layered Lossless Coding of High Dynamic Range Images. 36(21). 17–20. 1 indexed citations
5.
Fujiyoshi, Masaaki, et al.. (2010). Image Authentication with Access Control Based on Reversible Data Hiding. IEICE Technical Report; IEICE Tech. Rep.. 110(115). 81–86. 1 indexed citations
6.
Fujiyoshi, Masaaki, et al.. (2009). A REVERSIBLE IMAGE AUTHENTICATION METHOD FREE FROM LOCATION MAP AND PARAMETER MEMORIZATION. 108(373). 1–6. 1 indexed citations
7.
Kiya, Hitoshi, et al.. (2009). Fitting Functions for Noninteger Shift Value Estimation Using DCT Sign Phase Correlation. 92(3). 172–181.
8.
Iwahashi, Masahiro & Hitoshi Kiya. (2009). Word Length Condition for DC Lossless DWT. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 469–472. 1 indexed citations
9.
Kiya, Hitoshi, et al.. (2008). Image matching between scrambled images for secure data management. Tokyo Tech Research Repository (Tokyo Institute of Technology). 1–5. 12 indexed citations
10.
Kiya, Hitoshi, et al.. (2007). MODIFIED PHASE-ONLY CORRELATION USING THE SIGN OF DCT COEFFICIENTS WITH APPLICATION TO IMAGE MATCHING. 106(448). 163–168. 1 indexed citations
11.
Watanabe, Osamu, et al.. (2007). AN IDENTIFICATION METHOD FOR JPEG 2000 IMAGES USING THE SIGNS OF DWT COEFFICIENTS(International Workshop on Advanced Image Technology 2007). 106(449). 177–181. 4 indexed citations
12.
Arnia, Fitri, et al.. (2006). CONSIDERATION ON DCT SIGN ONLY CORRELATION FOR IMAGE IDENTIFICATION. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 481–484. 1 indexed citations
13.
Fujiyoshi, Masaaki, et al.. (2006). On Area to Compute Statistics for the Reversible Data Hiding Scheme. IEICE Technical Report; IEICE Tech. Rep.. 106(21). 1–6. 3 indexed citations
14.
Ando, Katsutoshi, Osamu Watanabe, & Hitoshi Kiya. (2001). Partial-scrambling of Still Images based on a general JPEG2000 encoder. 101(143). 55–62. 2 indexed citations
15.
Nishikawa, Kiyoshi, et al.. (1999). An Effective Architecture of the Pipelined LMS Adaptive Filters (Special Section on Digital Signal Processing). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(8). 1428–1434.
16.
Yamada, Yoji, et al.. (1999). A Frequency Domain Adaptive Algorithm for Estimating Impulse Response with Flat Delay and Dispersive Response Region. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 1558–1565. 2 indexed citations
17.
Kiya, Hitoshi, et al.. (1998). Generalizations of the Image Resolution Conversions in DCT-Domain using 8 points inversed DCT. 98(3). 9–16.
18.
Kobayashi, Hiroyuki, et al.. (1998). A Method of Inserting Binary Data into MPEG Bitstreams. 98(321). 95–100. 1 indexed citations
19.
Muramatsu, Shogo, et al.. (1998). The Two-Dimensional Lapped Hadamard Transform. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 1542–1549. 1 indexed citations
20.
Muramatsu, Shogo, et al.. (1993). Scale Factor of Resolution Conversion Based on Orthogonal Transforms. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 76(7). 1150–1153. 2 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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