Shingo Yamaguchi

2.0k total citations · 2 hit papers
186 papers, 1.2k citations indexed

About

Shingo Yamaguchi is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems. According to data from OpenAlex, Shingo Yamaguchi has authored 186 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 68 papers in Information Systems and 50 papers in Management Information Systems. Recurrent topics in Shingo Yamaguchi's work include Network Security and Intrusion Detection (51 papers), Business Process Modeling and Analysis (50 papers) and Petri Nets in System Modeling (45 papers). Shingo Yamaguchi is often cited by papers focused on Network Security and Intrusion Detection (51 papers), Business Process Modeling and Analysis (50 papers) and Petri Nets in System Modeling (45 papers). Shingo Yamaguchi collaborates with scholars based in Japan, India and Malaysia. Shingo Yamaguchi's co-authors include Brij B. Gupta, Dharma P. Agrawal, Mohd Anuaruddin Bin Ahmadon, Kostas E. Psannis, ­ Mamta, Victor C. M. Leung, Kuan‐Ching Li, Sharifah Saon, Abd Kadir Mahamad and Hiroki Tanaka and has published in prestigious journals such as Sensors, Future Generation Computer Systems and Applied Sciences.

In The Last Decade

Shingo Yamaguchi

161 papers receiving 1.2k citations

Hit Papers

Handbook of Research on Modern Cryptographic Solutions fo... 2016 2026 2019 2022 2016 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Yamaguchi Japan 14 545 526 388 252 173 186 1.2k
Huaglory Tianfield United Kingdom 20 781 1.4× 528 1.0× 784 2.0× 181 0.7× 115 0.7× 87 1.6k
Ming‐Chao Chiang Taiwan 16 541 1.0× 337 0.6× 436 1.1× 113 0.4× 269 1.6× 83 1.3k
P. Dhavachelvan India 24 727 1.3× 564 1.1× 527 1.4× 92 0.4× 188 1.1× 124 1.6k
Giovanni Russello New Zealand 19 763 1.4× 689 1.3× 770 2.0× 353 1.4× 176 1.0× 93 1.6k
Fang Dong China 22 951 1.7× 703 1.3× 383 1.0× 108 0.4× 143 0.8× 193 1.5k
Quanwang Wu China 24 659 1.2× 731 1.4× 879 2.3× 128 0.5× 312 1.8× 64 1.7k
Scott Graham United States 15 642 1.2× 322 0.6× 207 0.5× 76 0.3× 66 0.4× 64 1.1k
Martín Serrano Ireland 16 606 1.1× 296 0.6× 295 0.8× 85 0.3× 199 1.2× 52 1.0k
Ahmad Sharieh Jordan 16 487 0.9× 191 0.4× 627 1.6× 225 0.9× 137 0.8× 70 1.2k
Ali R. Hurson United States 20 1.1k 2.0× 391 0.7× 468 1.2× 238 0.9× 131 0.8× 163 1.6k

Countries citing papers authored by Shingo Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Yamaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Yamaguchi. A scholar is included among the top collaborators of Shingo 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 Shingo Yamaguchi. Shingo 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
2.
Ahmadon, Mohd Anuaruddin Bin & Shingo Yamaguchi. (2023). Diffusion of White-Hat Botnet Using Lifespan with Controllable Ripple Effect for Malware Removal in IoT Networks. Sensors. 23(2). 1018–1018. 1 indexed citations
3.
Ahmadon, Mohd Anuaruddin Bin, Shingo Yamaguchi, Abd Kadir Mahamad, & Sharifah Saon. (2023). Refining Preference-Based Recommendation with Associative Rules and Process Mining Using Correlation Distance. Big Data and Cognitive Computing. 7(1). 34–34. 2 indexed citations
5.
Yamaguchi, Shingo, et al.. (2023). Ensemble learning based software defect prediction. Journal of Engineering Research. 11(4). 377–391. 12 indexed citations
6.
Agrawal, Dharma P., Brij B. Gupta, Shingo Yamaguchi, & Kostas E. Psannis. (2018). Recent Advances in Mobile Cloud Computing. Wireless Communications and Mobile Computing. 2018(1). 2 indexed citations
7.
Yamaguchi, Shingo, et al.. (2018). Data-Aware Service Orchestration of IoT Service with Data Workflow Net. IEICE Technical Report; IEICE Tech. Rep.. 117(380). 85–89.
8.
Yamaguchi, Shingo & Hiroki Tanaka. (2018). Modeling of Infection Phenomenon and Evaluation of Mitigation Methods for IoT Malware Mirai by Agent-Oriented Petri Net PN 2. 3 indexed citations
9.
Yamaguchi, Shingo, et al.. (2013). Extract Superclass Problem of Workflow Nets and a Solution Method. IEICE Technical Report; IEICE Tech. Rep.. 112(457). 91–96. 2 indexed citations
10.
Yamaguchi, Shingo, et al.. (2011). CST solution competition 2010 -- Optimization of Multi-Car Elevator Controllers. IEICE Technical Report; IEICE Tech. Rep.. 110. 2 indexed citations
11.
Yamaguchi, Shingo, Ryo Ikeda, & Minoru Tanaka. (2009). Two Step Framework to Extend Workflow Nets and Soundizability Problem. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 859–862.
12.
Yamaguchi, Shingo, et al.. (2009). A Summary of CST Solution Competition 2007 and 2008. IEICE Technical Report; IEICE Tech. Rep.. 109. 59–64.
13.
Yamaguchi, Shingo, et al.. (2008). On Verification of Marking-Dependent Terminacy for Data-Flow Program Nets. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 973–976. 1 indexed citations
14.
Yamaguchi, Shingo, et al.. (2008). A Soundness Verification Tool Based on the SPIN Model Checker for Acyclic Workflow Nets. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 285–288. 2 indexed citations
15.
Yamaguchi, Shingo, et al.. (2008). On Verification of Marking-Dependent Terminacy for SWITCH-Less Program Nets. IEICE Technical Report; IEICE Tech. Rep.. 107. 1 indexed citations
16.
Miyamoto, Toshiyuki & Shingo Yamaguchi. (2007). CST Solution Competition 2007 -- Detail of Evaluation Tool. IEICE Technical Report; IEICE Tech. Rep.. 107. 1 indexed citations
17.
Yamaguchi, Shingo, et al.. (2004). Computation methods of maximum throughput for MG/SMWF-nets with conflict-free resources. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(11). 2868–2877. 1 indexed citations
18.
Yamaguchi, Shingo, et al.. (2003). Modeling and Performance Evaluation on Change Time for Migrate Dynamic Workflow Changes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(6). 1466–1475. 4 indexed citations
19.
Mishima, Akira, et al.. (2002). Evaluation Method of Change Time for Migrate Dynamic Workflow Changes. Thammasat International Journal of Science and Technology. 7(3). 58–69. 1 indexed citations
20.
Yamaguchi, Shingo, et al.. (2000). Performance Evaluation on Change Time of Dynamic Workflow Changes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(11). 2177–2187. 9 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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