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.
Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access
20131.9k citationsYuya Saito, Yoshihisa Kishiyama et al.profile →
System-level performance evaluation of downlink non-orthogonal multiple access (NOMA)
2013632 citationsYuya Saito, Anass Benjebbour et al.profile →
Coordinated multipoint transmission/reception techniques for LTE-advanced [Coordinated and Distributed MIMO
2010452 citationsMamoru Sawahashi, Yoshihisa Kishiyama et al.profile →
Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access
2013408 citationsAnass Benjebbour, Yuya Saito et al.profile →
Trends in small cell enhancements in LTE advanced
2013356 citationsTakehiro Nakamura, Satoshi Nagata et al.profile →
System-level performance of downlink NOMA for future LTE enhancements
2013286 citationsAnxin Li, Yuya Saito et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Yoshihisa Kishiyama
Since
Specialization
Citations
This map shows the geographic impact of Yoshihisa Kishiyama'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 Yoshihisa Kishiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihisa Kishiyama more than expected).
Fields of papers citing papers by Yoshihisa Kishiyama
This network shows the impact of papers produced by Yoshihisa Kishiyama. 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 Yoshihisa Kishiyama. The network helps show where Yoshihisa Kishiyama may publish in the future.
Co-authorship network of co-authors of Yoshihisa Kishiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihisa Kishiyama.
A scholar is included among the top collaborators of Yoshihisa Kishiyama 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 Yoshihisa Kishiyama. Yoshihisa Kishiyama is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Suzuki, Jun, et al.. (2021). Development of HAPS Backhaul System using mmWave Frequency -- HAPS as a NTN System for 5G and Beyond. IEICE Technical Report; IEICE Tech. Rep.. 121(153). 32–37.1 indexed citations
5.
Kishiyama, Yoshihisa, et al.. (2019). Coordinated Operation based on 5G Network and Mobile Edge Computing. IEICE Technical Report; IEICE Tech. Rep.. 119(92). 35–40.1 indexed citations
6.
Saito, Yuya, Anass Benjebbour, Yoshihisa Kishiyama, et al.. (2017). Experimental trial of large scale downlink TDD multi-user Massive MIMO. IEICE Technical Report; IEICE Tech. Rep.. 116(479). 187–192.2 indexed citations
7.
Saito, Yuya, Anass Benjebbour, Yoshihisa Kishiyama, et al.. (2017). Investigation on the Performance of TDD Massive MIMO in the 4.5GHz Band. IEICE Technical Report; IEICE Tech. Rep.. 116(396). 25–30.1 indexed citations
Qiu, Jing, Chen Tang, Tingjian Tian, et al.. (2016). Large scale massive MIMO field trial for 5G mobile communications system. International Symposium on Antennas and Propagation.20 indexed citations
10.
Benjebbour, Anass, Yoshihisa Kishiyama, Keisuke Saito, Petra Weitkemper, & Katsutoshi Kusume. (2015). B-5-99 Study on Candidate Waveform Designs for 5G. 2015(1). 454.2 indexed citations
11.
Kishiyama, Yoshihisa, Takehiro Nakamura, Amitava Ghosh, & Mark Cudak. (2014). B-5-59 Concept of mmW Experimental Trial for 5G Radio Access. 2014(1). 330.4 indexed citations
12.
Saito, Yuya, Anass Benjebbour, Yoshihisa Kishiyama, & Takehiro Nakamura. (2014). A study on performance of downlink non-orthogonal multiple access (NOMA) in various environments. 114(254). 37–42.1 indexed citations
13.
Kakishima, Yuichi, Song Yang, Anass Benjebbour, et al.. (2014). System-Level Evaluation on Enhanced 4-Tx Codebook for LTE-Advanced Downlink Multi-User MIMO. IEICE Technical Report; IEICE Tech. Rep.. 113(386). 71–76.1 indexed citations
Li, Anxin, et al.. (2013). System-level performance of downlink NOMA for future LTE enhancements. 66–70.286 indexed citations breakdown →
16.
Kishiyama, Yoshihisa, et al.. (2012). A Study on Transmission Power Control Considering Inter-Cell Interference for Non-orthogonal Access with MMSE-SIC in Cellular Uplink. IEICE Technical Report; IEICE Tech. Rep.. 112(89). 19–24.6 indexed citations
17.
Saito, Keisuke, et al.. (2012). Field experiments on throughput performance of carrier aggregation with asymmetric bandwidth in LTE-advanced. Future Network & Mobile Summit. 1–8.1 indexed citations
18.
Nakamura, Takehiro, Anass Benjebbour, & Yoshihisa Kishiyama. (2012). Views on LTE Enhancements and Future Radio Access. IEICE Technical Report; IEICE Tech. Rep.. 111(451). 107–114.2 indexed citations
19.
Kishiyama, Yoshihisa, et al.. (2011). A Study on Precoding Prediction in LTE Downlink. IEICE Technical Report; IEICE Tech. Rep.. 110(433). 319–323.
20.
Kishiyama, Yoshihisa, et al.. (2011). Comparison of User Throughput between Orthogonal Access and Non-orthogonal Access with SIC in MIMO Cellular Downlink. IEICE Technical Report; IEICE Tech. Rep.. 111(345). 99–104.2 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.