Hiroshi Yamaguchi

2.8k citations
42 papers · 338 indexed · h-index 11
Topics
Microtubule and mitosis dynamics (3 papers)Natural Language Processing Techniques (3 papers)Chaos-based Image/Signal Encryption (3 papers)

In The Last Decade

Hiroshi Yamaguchi

34 papers receiving 320 citations

Peers

Hiroshi Yamaguchi
Comparison fields: 5 of 107
  • Molecular Biology 126
  • Genetics 60
  • Cell Biology 49
  • Artificial Intelligence 42
  • Infectious Diseases 32
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Countries citing papers authored by Hiroshi Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Yamaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Yamaguchi. A scholar is included among the top collaborators of Hiroshi Yamaguchi 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 Hiroshi Yamaguchi. Hiroshi Yamaguchi 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
#WorkIndexed citations
1 2
2 6
3 24
4 52
5 8
6 2
7 0
8
Text Segmentation by Language Using Minimum Description Length
16
9
Proposal on Concept of Encrypted State Processing at Semantic Layerbased on Logic -- Toward Realization of Confidentiality Preserving Retrieval and Creation of Answer by Natural Language
2
10 0
11
On Electronic Government System for Overcoming Contradiction between Protection and Utilization of Personal Information and Privacy -- Part 1
0
12 21
13
An Electronic Voting Protocol Preserving Voter's Privacy
1
14 3
15
Implementing Web Services with Java^ Technology
2
16 30
17
Transforming growth factor beta (TGF beta) stimulates smooth muscle myosin heavy chain (SMHC) gene expression through a cis-acting element that contains an Sp1 binding site
3
18 2
19 5
20 23

About Hiroshi Yamaguchi

Hiroshi Yamaguchi is a scholar working on Information Systems and Management, Information Systems and Signal Processing, having authored 42 papers that have together received 338 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Natural Language Processing Techniques (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Cell Biology (49 citations), Small Animals (22 citations) and Genetics (60 citations). Hiroshi Yamaguchi has collaborated with scholars based in Japan, United States and Türkiye. Frequent co-authors include Masahide Kikkawa, Toshiyuki Oda, Hiroyuki Takeda, Kumiko Tanaka‐Ishii, Maxim Mozgovoy, Richard A. Lockshin, Kenji Uchida, Donald J. Woodward, Masao Suzuki and Shigeharu Kinoshita. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and American Journal of Physiology-Heart and Circulatory Physiology.

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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