Yoshiaki Nemoto

967 total citations
81 papers, 682 citations indexed

About

Yoshiaki Nemoto is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yoshiaki Nemoto has authored 81 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Yoshiaki Nemoto's work include Network Security and Intrusion Detection (19 papers), Network Traffic and Congestion Control (17 papers) and Advanced Wireless Network Optimization (13 papers). Yoshiaki Nemoto is often cited by papers focused on Network Security and Intrusion Detection (19 papers), Network Traffic and Congestion Control (17 papers) and Advanced Wireless Network Optimization (13 papers). Yoshiaki Nemoto collaborates with scholars based in Japan, Australia and United States. Yoshiaki Nemoto's co-authors include Nei Kato, Abbas Jamalipour, Hidehisa Nakayama, Satoshi Kurosawa, Tarik Taleb, Nirwan Ansari, Masahiko Abe, Bounpadith Kannhavong, Masato Suzuki and Juan Carlos Fernández Fernández and has published in prestigious journals such as Computer Networks, IEEE Network and Computer Communications.

In The Last Decade

Yoshiaki Nemoto

76 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshiaki Nemoto Japan 12 548 260 110 91 80 81 682
Phongsak Prasithsangaree United States 7 218 0.4× 332 1.3× 87 0.8× 66 0.7× 64 0.8× 10 476
Takeshi Ikenaga Japan 12 288 0.5× 197 0.8× 63 0.6× 54 0.6× 94 1.2× 141 488
Bo‐Chao Cheng Taiwan 11 304 0.6× 246 0.9× 124 1.1× 69 0.8× 54 0.7× 41 557
Hidehisa Nakayama Japan 13 1.0k 1.9× 529 2.0× 71 0.6× 41 0.5× 49 0.6× 31 1.1k
Danai Chasaki United States 7 305 0.6× 298 1.1× 102 0.9× 142 1.6× 33 0.4× 40 588
Aveek Dutta United States 13 227 0.4× 209 0.8× 66 0.6× 56 0.6× 42 0.5× 48 414
Lin Hu China 13 270 0.5× 451 1.7× 173 1.6× 75 0.8× 90 1.1× 27 644
Elizabeth Serena Bentley United States 14 331 0.6× 262 1.0× 101 0.9× 183 2.0× 70 0.9× 74 549
André Puschmann Germany 7 474 0.9× 471 1.8× 63 0.6× 42 0.5× 33 0.4× 17 704
Muhammad Amjad Pakistan 7 428 0.8× 369 1.4× 61 0.6× 78 0.9× 68 0.8× 12 603

Countries citing papers authored by Yoshiaki Nemoto

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiaki Nemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiaki Nemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiaki Nemoto. A scholar is included among the top collaborators of Yoshiaki Nemoto 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 Yoshiaki Nemoto. Yoshiaki Nemoto 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.
Nemoto, Yoshiaki, et al.. (2012). A Multi-Stage Network Anomaly Detection Method for Improving Efficiency and Accuracy. Journal of Information Security. 3(1). 18–24. 9 indexed citations
2.
Nemoto, Yoshiaki, et al.. (2009). Development of a Small-Distance Vehicle Platooning System. 13 indexed citations
3.
Kurosawa, Satoshi, Hidehisa Nakayama, Nei Kato, Abbas Jamalipour, & Yoshiaki Nemoto. (2007). Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method.. International journal of network security. 5. 338–346. 258 indexed citations
4.
Nishiyama, Hiroki, et al.. (2006). A TCP-based congestion avoidance approach with priority control. IEICE technical report. Speech. 106(236). 157–162. 1 indexed citations
5.
Nemoto, Yoshiaki, et al.. (2006). Using Multiple Normal states for Network Anomaly Detection. IEICE Technical Report; IEICE Tech. Rep.. 106(238). 61–66. 1 indexed citations
6.
Nemoto, Yoshiaki, et al.. (2006). Increasing Efficiency of DoS-Attack Traceback over Mobile Networks. IEICE technical report. Speech. 106(238). 79–84. 1 indexed citations
7.
Taleb, Tarik, Abbas Jamalipour, Nei Kato, & Yoshiaki Nemoto. (2005). A global Video-on-Demand Architecture Based on a Novel Constellation Composed of Quasi-Geostationary Satellites. 11(4 Suppl). S15–31. 1 indexed citations
8.
Nemoto, Yoshiaki, et al.. (2005). A Network Anomaly Detection based on Multi-Stage Traffic Analysis. IEICE technical report. Speech. 105(405). 9–12. 1 indexed citations
9.
Kato, Nei, et al.. (2004). Detecting and Tracing DDoS Attacks in the Traffic Analysis Using Auto Regressive Model. IEICE Transactions on Information and Systems. 87(12). 2635–2643. 6 indexed citations
10.
Kato, Nei, et al.. (2004). A Satellite Selection Method for Walker Delta LEO Satellite Networks. IEICE Transactions on Communications. 87(8). 2124–2131. 3 indexed citations
11.
Nemoto, Yoshiaki, et al.. (2004). Proposal of tracing DoS attack roots by analysing traffic patterns using Independent Component Analysis. IEICE technical report. Speech. 104(273). 1–6. 1 indexed citations
12.
Taleb, Tarik, Nei Kato, & Yoshiaki Nemoto. (2002). On TCP Performance over Multi-Hops Satellite Constellations. 102(360). 27–32. 1 indexed citations
13.
Kato, Nei, et al.. (2002). Thacing DDoS Attacks by Comparing Traffic Patterns Based on Quadratic Programming Method. 85(8). 1295–1303. 2 indexed citations
14.
Kato, Nei, et al.. (2000). High speed and high accuracy rough classification for handwritten characters using hierarchical learning vector quantization. IEICE Transactions on Information and Systems. 83(6). 1282–1290. 8 indexed citations
15.
Kato, Nei, et al.. (1999). A real-time intrusion detection system (IDS) for large scale networks and its evaluations. IEICE Transactions on Communications. 82(11). 1817–1825. 14 indexed citations
16.
Kato, Nei, et al.. (1996). High Accuracy Recognition of ETL9B Using Exclusive Learning Neural Network-II : ELNET-II (Special Issue on Character Recognition and Document Understanding). IEICE Transactions on Information and Systems. 79(5). 516–522. 8 indexed citations
17.
Kato, Nei, et al.. (1996). High accuracy recognition of etl9b using exclusive learning neural network - II (ELNET - II). IEICE Transactions on Information and Systems. 516–522. 14 indexed citations
18.
Suzuki, Masato, et al.. (1996). A handprinted character recognition system using image transformation based on partial inclination detection. IEICE Transactions on Information and Systems. 79(5). 504–509. 11 indexed citations
19.
Sun, Ning, et al.. (1995). A Fine Classification Method of Handwritten Character by Using Automatic Learning Algorithm of Partial Area Matching. Transactions of the Institute of Electronics, Information and Communication Engineers. 78(3). 492–500. 2 indexed citations
20.
Sun, Ning, et al.. (1994). A handwritten character recognition system by using modified mahalanobis distance. IEICE technical report. Speech. 1994(110). 169–176. 4 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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