Naoto Yanai

970 total citations · 1 hit paper
63 papers, 590 citations indexed

About

Naoto Yanai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Naoto Yanai has authored 63 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 28 papers in Computer Networks and Communications and 23 papers in Information Systems. Recurrent topics in Naoto Yanai's work include Cryptography and Data Security (24 papers), Blockchain Technology Applications and Security (13 papers) and Advanced Malware Detection Techniques (13 papers). Naoto Yanai is often cited by papers focused on Cryptography and Data Security (24 papers), Blockchain Technology Applications and Security (13 papers) and Advanced Malware Detection Techniques (13 papers). Naoto Yanai collaborates with scholars based in Japan, Singapore and United States. Naoto Yanai's co-authors include Jason Paul Cruz, Yuichi Kaji, Chai Kiat Yeo, Toru Fujiwara, Yang Chen, Tomoya Matsumoto, Keiichi Iwamura, Hirozumi Yamaguchi, Toshiki Shibahara and Hamada Rizk and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

In The Last Decade

Naoto Yanai

49 papers receiving 563 citations

Hit Papers

RBAC-SC: Role-Based Access Control Using Smart Contract 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RBAC-SC: Role-Based Access Control Using Smart Contract
    2018 234 citations Jason Paul Cruz, Naoto Yanai et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoto Yanai Japan 10 367 302 200 78 69 63 590
Paweł Szałachowski Singapore 14 379 1.0× 389 1.3× 318 1.6× 46 0.6× 48 0.7× 42 662
Lotfi Ben Othmane United States 13 386 1.1× 199 0.7× 169 0.8× 72 0.9× 65 0.9× 31 582
Ja’far Alqatawna Jordan 12 272 0.7× 279 0.9× 198 1.0× 86 1.1× 71 1.0× 41 507
Antonio Maña Spain 12 249 0.7× 209 0.7× 165 0.8× 56 0.7× 104 1.5× 70 430
Fatemeh Rezaeibagha Australia 17 528 1.4× 440 1.5× 235 1.2× 22 0.3× 53 0.8× 46 755
Jiangshan Yu Australia 15 617 1.7× 314 1.0× 461 2.3× 53 0.7× 41 0.6× 57 822
Samiran Bag United Kingdom 12 356 1.0× 269 0.9× 204 1.0× 28 0.4× 56 0.8× 30 517
Carsten Rudolph Australia 13 340 0.9× 263 0.9× 218 1.1× 107 1.4× 98 1.4× 92 658
Reijo Savola Finland 16 563 1.5× 219 0.7× 404 2.0× 166 2.1× 55 0.8× 89 777
Veenu Mangat India 11 156 0.4× 314 1.0× 271 1.4× 99 1.3× 25 0.4× 35 576

Countries citing papers authored by Naoto Yanai

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Yanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Yanai

This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Yanai. A scholar is included among the top collaborators of Naoto Yanai 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 Naoto Yanai. Naoto Yanai 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.
Yanai, Naoto, et al.. (2025). MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis. Computers & Security. 152. 104371–104371. 1 indexed citations
2.
Shibahara, Toshiki, et al.. (2024). MEGEX: Data-Free Model Extraction Attack Against Gradient-Based Explainable AI. 56–66. 5 indexed citations
3.
Yanai, Naoto, et al.. (2024). JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website Detection. Journal of Information Processing. 32(0). 298–307. 1 indexed citations
4.
Zolfaghari, Behrouz, et al.. (2024). Secure UAV (Drone) and the Great Promise of AI. ACM Computing Surveys. 56(11). 1–37. 6 indexed citations
5.
6.
Yanai, Naoto, et al.. (2023). APVAS: Reducing the Memory Requirement of AS_PATH Validation by Introducing Aggregate Signatures into BGPsec. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E106.A(3). 170–184.
7.
Nakao, Koji, Katsunari Yoshioka, Takayuki Sasaki, et al.. (2023). Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware. IEICE Transactions on Information and Systems. E106.D(9). 1302–1315. 2 indexed citations
8.
Minematsu, Kazuhiko, et al.. (2023). Anonymous Broadcast Authentication With One-to-Many Transmission to Control IoT Devices. IEEE Access. 11. 62955–62969. 1 indexed citations
9.
Yanai, Naoto, et al.. (2023). Designated Verifier Signature with Claimability. 21–32. 3 indexed citations
10.
Yanai, Naoto, et al.. (2022). SPGC: Integration of Secure Multiparty Computation and Differential Privacy for Gradient Computation on Collaborative Learning. Journal of Information Processing. 30(0). 209–225. 1 indexed citations
11.
Yanai, Naoto, et al.. (2021). Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts. IEICE Technical Report; IEICE Tech. Rep.. 120(411). 273–280. 1 indexed citations
12.
Yanai, Naoto, et al.. (2021). MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine. IEEE Access. 9. 78293–78314. 6 indexed citations
13.
Chen, Yang, et al.. (2021). Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection. Knowledge-Based Systems. 224. 107086–107086. 35 indexed citations
14.
Yanai, Naoto, et al.. (2021). RA: A Static Analysis Tool for Analyzing Re-Entrancy Attacks in Ethereum Smart Contracts. Journal of Information Processing. 29(0). 537–547. 2 indexed citations
15.
16.
17.
Yanai, Naoto, et al.. (2019). ISDSR+: Improving the Security and Availability of Secure Routing Protocol. IEEE Access. 7. 74849–74868. 14 indexed citations
18.
Yanai, Naoto, et al.. (2016). Web security model with cache. International Symposium on Information Theory and its Applications. 408–412. 1 indexed citations
19.
Yanai, Naoto, et al.. (2015). Secure Routing Protocols for Sensor Networks: Construction with Signature Schemes for Multiple Signers. 2015 IEEE Trustcom/BigDataSE/ISPA. 30. 1329–1336. 1 indexed citations
20.
Yanai, Naoto, Raylin Tso, Masahiro Mambo, & Eiji Okamoto. (2011). Certificateless Ordered Sequential Aggregate Signature Scheme. e84 a. 662–667. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Paweł Szałachowski Breakdown of academic impact, for papers by Lotfi Ben Othmane Breakdown of academic impact, for papers by Ja’far Alqatawna Breakdown of academic impact, for papers by Antonio Maña Breakdown of academic impact, for papers by Fatemeh Rezaeibagha Breakdown of academic impact, for papers by Jiangshan Yu Breakdown of academic impact, for papers by Samiran Bag Breakdown of academic impact, for papers by Carsten Rudolph Breakdown of academic impact, for papers by Reijo Savola Breakdown of academic impact, for papers by Veenu Mangat
Rankless by CCL
2026