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Shijian Bao

dblp:242/0025 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › random number generation
true random number generator
1.012026
High-performance true random number generator based on SOT-MTJ spin relaxation · Sci. China Inf. Sci. 2026
Emerging computing paradigms
spintronics
0.312026
High-performance true random number generator based on SOT-MTJ spin relaxation · Sci. China Inf. Sci. 2026

Methods — techniques the papers use, named apart from their topics

SOT-MTJ spin relaxation · 2.0
YearPublicationVenuePosition
2026 High-performance true random number generator based on SOT-MTJ spin relaxation
Jialiang Yin, Xiuye Zhang, Wenlong Cai, Ao Du, Binchao Tang, Shijian Bao, Daoqian Zhu, Kewen Shi, Lang Zeng, He Zhang 0011, Kaihua Cao, Weisheng Zhao 0001
Sci. China Inf. Sci.9
2020 Joint resource allocation for dynamic cellular-enabled UAVs communication
abstract
Emerging cellular‐enabled unmanned aerial vehicles (UAVs) communication poses both opportunities and challenges to the current research of UAV applications. On the one hand, the advanced cellular technologies and authentication mechanisms make significant performance improvements of reliability, security, coverage, and throughput of UAVs possible. On the other hand, the considerably dynamic characteristics of the new aerial users bring some complicated and open issues to the future heterogeneous network. To throw some light on this field, the authors study the joint power allocation and channel reuse problem of uplink transmission in a cellular‐enabled UAVs network with full consideration of the rapid channel variations resulting from high mobility of UAVs. Given the diverse requirements of terrestrial cellular users (CUs) and UAVs, i.e. large capacity for CU links and ultra‐reliability for UAV links, they formulate the problem as optimising the uplink capacities of CUs with reliable transmission constraint of UAVs. By decoupling the intricate problem into two sub‐problems, a joint resource allocation algorithm is proposed, which relies only on the statistical information of dynamic channels to implement, hence is robust. Finally, numerical results are provided to corroborate the anticipated performances of the proposed scheme.
Chaoqiong Fan, Shijian Bao, Bin Li 0002, Chenglin Zhao
IET Commun.2