Boyang Liu

1.3k total citations · 1 hit paper
91 papers, 934 citations indexed

About

Boyang Liu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Boyang Liu has authored 91 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 18 papers in Aerospace Engineering. Recurrent topics in Boyang Liu's work include Advanced Wireless Communication Technologies (14 papers), Energy Harvesting in Wireless Networks (13 papers) and Advanced Optical Imaging Technologies (13 papers). Boyang Liu is often cited by papers focused on Advanced Wireless Communication Technologies (14 papers), Energy Harvesting in Wireless Networks (13 papers) and Advanced Optical Imaging Technologies (13 papers). Boyang Liu collaborates with scholars based in China, United States and United Kingdom. Boyang Liu's co-authors include Fuhui Zhou, Raphael T. Haftka, Rose Qingyang Hu, Qihui Wu, Xinzhu Sang, Xunbo Yu, Li Liu, Zan Li, Chao Gao and Peiren Wang and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Physical Review A.

In The Last Decade

Boyang Liu

78 papers receiving 849 citations

Hit Papers

align trajectories

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.

Resource Allocation and Trajectory Design for MISO UAV-Assisted MEC Networks

2022 120 citations Boyang Liu, Fuhui Zhou et al. IEEE Transactions on Vehicular Technology profile →

Peers

Boyang Liu

EEE

CNC

MT

AE

AMPO

Wai-keung Fung Hong Kong

Lilong Cai Hong Kong

John T. Feddema United States

Srikanta Pal India

Erwin Biebl Germany

Ran Shi China

Pasquale Corsonello Italy

Xinhan Huang China

Li Chen Canada

Wai-keung Fung Hong Kong

Boyang Liu

235 ×0.7

EEE

98 ×0.4

CNC

23 ×0.1

MT

61 ×0.3

AE

186 ×1.0

AMPO

Citations per year, relative to Boyang Liu Boyang Liu (= 1×) peers Wai-keung Fung

Countries citing papers authored by Boyang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Boyang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Boyang Liu. A scholar is included among the top collaborators of Boyang Liu 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 Boyang Liu. Boyang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Dong, Lin, et al.. (2025). An optically transparent rectifying metasurface for 2.4/5.8 GHz dual-band RF energy harvesting. Applied Physics Letters. 126(1). 6 indexed citations

2.

Liu, Chaowen, Tong-Xing Zheng, Boyang Liu, et al.. (2025). Performance Analysis of Phase Pre-Configured Spatial Modulation Empowered by RIS With Discrete Phase Alphabet. IEEE Transactions on Vehicular Technology. 74(10). 16613–16618.

3.

Liu, Boyang, Guozheng Rao, Xin Wang, Li Zhang, & Qing Cong. (2024). DE3TC: Detecting Events with Effective Event Type Information and Context. Neural Processing Letters. 56(2).

4.

Chang, Ming, et al.. (2024). Microstructure and texture evolution of 2A12 aluminum alloy semi-solid billet prepared by SIMA process. Journal of Materials Research and Technology. 33. 9484–9494. 3 indexed citations

5.

Liu, Boyang, et al.. (2023). Robust Adversarial Attacks on Deep Learning-Based RF Fingerprint Identification. IEEE Wireless Communications Letters. 12(6). 1037–1041. 8 indexed citations

6.

Liu, Yameng, et al.. (2022). Computation rate maximization for IRS-enhanced dynamic spectrum access assisted MEC system. Physical Communication. 52. 101697–101697. 2 indexed citations

7.

Liu, Boyang, et al.. (2022). Resource Allocation and Trajectory Design for MISO UAV-Assisted MEC Networks. IEEE Transactions on Vehicular Technology. 71(5). 4933–4948. 120 indexed citations breakdown →

8.

Liu, Yameng, et al.. (2022). Edge Intelligence Empowered Dynamic Offloading and Resource Management of MEC for Smart City Internet of Things. Electronics. 11(6). 879–879. 12 indexed citations

9.

Liu, Chaowen, et al.. (2022). Enabling joint transmitter-receiver spatial modulation with RF mirrors: A low-cost and highly-flexible perspective. Digital Signal Processing. 133. 103825–103825. 4 indexed citations

10.

Liu, Boyang, et al.. (2022). Deep Reinforcement Learning‐Based Dynamic Offloading Management in UAV‐Assisted MEC System. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations

11.

Chen, Duo, et al.. (2021). Superpixel Guided Network for Three-Dimensional Stereo Matching. IEEE Transactions on Computational Imaging. 8. 54–68. 8 indexed citations

12.

Liu, Boyang, et al.. (2020). Secure MISO Cognitive-Based Mobile Edge Computing With Wireless Power Transfer. IEEE Access. 8. 15518–15528. 5 indexed citations

13.

Liu, Boyang, et al.. (2020). Robust Secure Wireless Powered MISO Cognitive Mobile Edge Computing. IEEE Access. 8. 62356–62366. 3 indexed citations

14.

Liu, Boyang, Wei Li, Yujiao Ma, Junxuan Wang, & Guangyue Lu. (2019). Wireless Powered Cognitive-Based Mobile Edge Computing With Imperfect Spectrum Sensing. IEEE Access. 7. 80431–80442. 13 indexed citations

15.

Chen, Jian, et al.. (2019). Design and Performance Analysis of Cooperative NOMA With Coordinated Direct and Relay Transmission. IEEE Access. 7. 73306–73323. 30 indexed citations

16.

Liu, Boyang, et al.. (2018). Optimal Spectrum Sensing Interval in MISO Cognitive Small Cell Networks. IEEE Access. 6. 3479–3490. 4 indexed citations

17.

Liu, Boyang, Fuhui Zhou, Guangyue Lu, & Rose Qingyang Hu. (2018). Energy Efficient and Robust Beamforming for MISO Cognitive Small Cell Networks. IEEE Internet of Things Journal. 5(6). 5002–5014. 7 indexed citations

18.

Wang, Xun, et al.. (2017). A novel method for multifactorial bio-chemical experiments design based on combinational design theory. PLoS ONE. 12(11). e0186853–e0186853. 2 indexed citations

19.

Li, Zan, Boyang Liu, Jiangbo Si, & Fuhui Zhou. (2017). Optimal Spectrum Sensing Interval in Energy-Harvesting Cognitive Radio Networks. IEEE Transactions on Cognitive Communications and Networking. 3(2). 190–200. 27 indexed citations

20.

Liu, Boyang. (2001). Two-level optimization of composite wing structures based on panel genetic optimization. PhDT. 8 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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