Hiroyuki Yomo

3.2k total citations · 1 hit paper
144 papers, 2.3k citations indexed

About

Hiroyuki Yomo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Hiroyuki Yomo has authored 144 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computer Networks and Communications, 91 papers in Electrical and Electronic Engineering and 21 papers in Biomedical Engineering. Recurrent topics in Hiroyuki Yomo's work include Wireless Networks and Protocols (41 papers), Cooperative Communication and Network Coding (40 papers) and Energy Efficient Wireless Sensor Networks (28 papers). Hiroyuki Yomo is often cited by papers focused on Wireless Networks and Protocols (41 papers), Cooperative Communication and Network Coding (40 papers) and Energy Efficient Wireless Sensor Networks (28 papers). Hiroyuki Yomo collaborates with scholars based in Japan, Denmark and United States. Hiroyuki Yomo's co-authors include Petar Popovski, Ramjee Prasad, Elisabeth de Carvalho, Suhua Tang, Sadao Obana, Shinsuke Hara, Rocco Di Taranto, Kentaro Nishimori, Kenichi Abe and Akio Hasegawa and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and IEEE Wireless Communications.

In The Last Decade

Hiroyuki Yomo

130 papers receiving 2.2k citations

Hit Papers

Physical Network Coding i... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroyuki Yomo Japan 19 2.1k 2.0k 111 77 70 144 2.3k
Tao Peng China 21 1.2k 0.6× 1.3k 0.7× 33 0.3× 27 0.4× 99 1.4× 134 1.5k
K. Sohrabi United States 9 1.6k 0.8× 805 0.4× 89 0.8× 78 1.0× 41 0.6× 9 1.7k
Wha Sook Jeon South Korea 22 1.4k 0.7× 1.3k 0.6× 69 0.6× 36 0.5× 55 0.8× 119 1.6k
Juha-Pekka Mäkelä Finland 13 967 0.5× 1.3k 0.7× 74 0.7× 67 0.9× 198 2.8× 39 1.5k
Ruogu Zhou United States 12 567 0.3× 557 0.3× 84 0.8× 94 1.2× 28 0.4× 21 842
Jeongki Min South Korea 10 1.3k 0.6× 672 0.3× 97 0.9× 119 1.5× 27 0.4× 18 1.5k
Ding Xu China 19 791 0.4× 1.1k 0.6× 60 0.5× 53 0.7× 184 2.6× 143 1.4k
François Chin Singapore 15 708 0.3× 930 0.5× 82 0.7× 16 0.2× 202 2.9× 121 1.1k
Stanislava Soro United States 6 908 0.4× 623 0.3× 57 0.5× 230 3.0× 66 0.9× 7 1.1k
Ahmed K. Sadek United States 23 2.5k 1.2× 2.4k 1.2× 66 0.6× 10 0.1× 87 1.2× 47 2.7k

Countries citing papers authored by Hiroyuki Yomo

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Yomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Yomo

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Yomo. A scholar is included among the top collaborators of Hiroyuki Yomo 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 Hiroyuki Yomo. Hiroyuki Yomo 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.
Yomo, Hiroyuki, et al.. (2023). Cluster–based Wake–up Control for Top–k Query in Wireless Sensor Networks. 1–6. 1 indexed citations
3.
Kalør, Anders E., et al.. (2022). Query Timing Analysis for Content-Based Wake-Up Realizing Informative IoT Data Collection. IEEE Wireless Communications Letters. 12(2). 327–331. 4 indexed citations
4.
Tang, Suhua, Hiroyuki Yomo, Chao Zhang, & Sadao Obana. (2022). Node Scheduling for AF-Based Over-the-Air Computation. IEEE Wireless Communications Letters. 11(9). 1945–1949. 8 indexed citations
5.
Yomo, Hiroyuki, et al.. (2021). Periodical Top-kRanking Query in Wireless Sensor Networks Exploiting Wake-Up Receivers. IEEE Sensors Journal. 21(20). 23698–23710. 2 indexed citations
6.
Yomo, Hiroyuki, et al.. (2020). Content-Based Wake-Up for Top-k Query in Wireless Sensor Networks. IEEE Transactions on Green Communications and Networking. 5(1). 362–377. 11 indexed citations
7.
Yomo, Hiroyuki, et al.. (2020). A Low Latency Transmission Control for Multi-link WLAN. 1–6. 3 indexed citations
8.
Hara, Shinsuke, et al.. (2019). Effect of the position of wireless sensor node on the transmission performance of a vital data collection system. IEICE Technical Report; IEICE Tech. Rep.. 118(509). 1–4.
9.
Yomo, Hiroyuki, et al.. (2018). An Experimental Study on Communications and Interference Characteristics of 920MHz Radios in Factory Environments. IEICE Technical Report; IEICE Tech. Rep.. 118(123). 149–154. 1 indexed citations
10.
Yomo, Hiroyuki & Yoshiki Maeda. (2011). Distributed MAC protocol for physical layer network coding. Wireless Personal Multimedia Communications. 1–5. 8 indexed citations
11.
Ueda, Tetsuro, Hiroyuki Yomo, Akio Hasegawa, & Sadao Obana. (2010). Public-Private Cooperative Cognitive Radio Access Networks : System Components, Technical Target and Issues, Key Functions and System Integration. IEICE technical report. Speech. 109(383). 101–105. 1 indexed citations
12.
Yomo, Hiroyuki, et al.. (2009). Performance of MM-SA System and CSMA Based Systems in Inter-Vehicle Communications for Safety Driving Support. IEICE technical report. Speech. 108(424). 121–126. 3 indexed citations
13.
Tang, Suhua, et al.. (2008). Network Coding Based Relay Scheme for Wireless LAN. IEICE Technical Report; IEICE Tech. Rep.. 108(251). 45–50. 1 indexed citations
14.
Yomo, Hiroyuki, et al.. (2008). Wireless Broadcast with Random Linear Network Coding for Real-time Applications. IEICE Technical Report; IEICE Tech. Rep.. 108(251). 65–70. 1 indexed citations
15.
Yomo, Hiroyuki, et al.. (2007). Interference Exploitation for Cognitive Radios. NTT technical review. 5(10). 36–45. 2 indexed citations
16.
Popovski, Petar & Hiroyuki Yomo. (2007). Physical Network Coding in Two-Way Wireless Relay Channels. VBN Forskningsportal (Aalborg Universitet). 707–712. 474 indexed citations breakdown →
17.
Popovski, Petar, et al.. (2004). Flexible and Energy-Efficient Networking Structure using Bluetooth Park Mode. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
18.
Popovski, Petar, et al.. (2004). Proceedings of the 7th Conference on Wireless Personal Multimedia Communications (WPMC). Wireless Personal Multimedia Communications. 1 indexed citations
19.
Yomo, Hiroyuki, et al.. (2002). Slot Allocation Algorithms Supporting Up/Down-Asymmetric Traffic for CDMA/TDD-Based Multimedia Communications Systems. 101(676). 203–210. 2 indexed citations
20.
Yomo, Hiroyuki & Shinsuke Hara. (2001). Traffic Performance of a Software-Based TDMA/CDMA System Accommodating Heterogeneous Multimedia Services. IEICE Transactions on Communications. 84(3). 502–510. 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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