Shangbin Wu

1.7k total citations
42 papers, 1.2k citations indexed

About

Shangbin Wu is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Shangbin Wu has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 16 papers in Aerospace Engineering and 14 papers in Computer Networks and Communications. Recurrent topics in Shangbin Wu's work include Advanced MIMO Systems Optimization (29 papers), Millimeter-Wave Propagation and Modeling (13 papers) and Antenna Design and Analysis (10 papers). Shangbin Wu is often cited by papers focused on Advanced MIMO Systems Optimization (29 papers), Millimeter-Wave Propagation and Modeling (13 papers) and Antenna Design and Analysis (10 papers). Shangbin Wu collaborates with scholars based in United Kingdom, China and Saudi Arabia. Shangbin Wu's co-authors include Cheng‐Xiang Wang, El‐Hadi M. Aggoune, Mohammed M. Alwakeel, Xiaohu You, Yejun He, Lu Bai, Bo Ai, Harald Haas, Koshiro Kitao and Jianhua Zhang and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Shangbin Wu

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangbin Wu United Kingdom 14 1.1k 470 213 82 27 42 1.2k
Georgia Athanasiadou Greece 18 861 0.8× 346 0.7× 356 1.7× 108 1.3× 50 1.9× 80 1.0k
Ibrahim Hemadeh United Kingdom 16 1.1k 1.0× 473 1.0× 181 0.8× 44 0.5× 17 0.6× 40 1.2k
Sooyoung Hur South Korea 17 1.8k 1.7× 476 1.0× 182 0.9× 156 1.9× 13 0.5× 36 1.9k
Vutha Va United States 12 985 0.9× 289 0.6× 101 0.5× 46 0.6× 30 1.1× 23 1.0k
Alain Mourad United Kingdom 17 786 0.7× 277 0.6× 389 1.8× 74 0.9× 25 0.9× 63 1.0k
Diego Dupleich Germany 16 968 0.9× 280 0.6× 94 0.4× 87 1.1× 16 0.6× 57 1.0k
Kamarul Ariffin Noordin Malaysia 20 845 0.8× 236 0.5× 401 1.9× 81 1.0× 49 1.8× 71 1.1k
Shihai Shao China 17 1.0k 1.0× 410 0.9× 248 1.2× 21 0.3× 28 1.0× 156 1.1k
Xuesong Cai China 19 820 0.8× 475 1.0× 115 0.5× 60 0.7× 42 1.6× 76 1.0k
Henrik Asplund Sweden 17 1.2k 1.1× 682 1.5× 442 2.1× 91 1.1× 61 2.3× 52 1.4k

Countries citing papers authored by Shangbin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shangbin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangbin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shangbin Wu. A scholar is included among the top collaborators of Shangbin Wu 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 Shangbin Wu. Shangbin Wu 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.
Wu, Shangbin, et al.. (2021). Machine learning based signal strength and uncertainty prediction for MEC mobility management. 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). 1–5. 4 indexed citations
2.
Wu, Shangbin, et al.. (2021). Deep Reinforcement Learning for cell on/off energy saving on Wireless Networks. 2021 IEEE Global Communications Conference (GLOBECOM). 1–7. 12 indexed citations
3.
Wu, Shangbin, Yue Wang, & Lu Bai. (2020). Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving. IEEE Access. 8. 93671–93681. 9 indexed citations
4.
Wu, Shangbin, et al.. (2020). Q-Learning based Link Adaptation in 5G. 1–6. 2 indexed citations
5.
Bai, Lu, et al.. (2020). A Novel Atmosphere-Informed Data-Driven Predictive Channel Modeling for B5G/6G Satellite-Terrestrial Wireless Communication Systems at Q-Band. IEEE Transactions on Vehicular Technology. 69(12). 14225–14237. 22 indexed citations
7.
Wu, Shangbin & Yinan Qi. (2018). Centralized and Distributed Schedulers for Non-Coherent Joint Transmission. 1–6. 2 indexed citations
8.
Zhang, Jianhua, Mansoor Shafi, Andreas F. Molisch, et al.. (2018). Channel Models and Measurements for 5G. IEEE Communications Magazine. 56(12). 12–13. 23 indexed citations
9.
Wu, Shangbin, et al.. (2018). Spectral efficiency of massive MIMO networks with pilot contamination and channel covariance matrix estimation. IET Communications. 13(1). 59–65. 3 indexed citations
10.
Liu, Ju, et al.. (2017). Uplink pilot power control with genetic algorithm for massive MIMO networks. 1–6. 2 indexed citations
11.
Jaeckel, Stephan, Leszek Raschkowski, Shangbin Wu, Lars Thiele, & Wilhelm Keusgen. (2017). An Explicit Ground Reflection Model for mm-Wave Channels. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5. 17 indexed citations
12.
Liu, Ruixia, Yinglong Wang, Minglei Shu, & Shangbin Wu. (2017). Throughput assurance of wireless body area networks coexistence based on stochastic geometry. PLoS ONE. 12(1). e0171123–e0171123. 8 indexed citations
13.
Bai, Lu, Cheng‐Xiang Wang, Shangbin Wu, et al.. (2017). Performance comparison of six massive MIMO channel models. 30. 1–5. 6 indexed citations
14.
Bai, Lu, Cheng‐Xiang Wang, Shangbin Wu, Haowen Wang, & Yang Yang. (2016). A 3-D wideband multi-confocal ellipsoid model for wireless MIMO communication channels. 16. 1–6. 9 indexed citations
15.
Nekovee, Maziar, et al.. (2016). Overview of 5G modulation and waveforms candidates. Journal of Communications and Information Networks. 1(1). 44–60. 18 indexed citations
16.
Wu, Shangbin, Cheng‐Xiang Wang, Yang Yang, Wenjin Wang, & Xiqi Gao. (2016). Performance comparison of massive MIMO channel models. 1–6. 7 indexed citations
17.
Liu, Yu, Cheng‐Xiang Wang, Ammar Ghazal, Shangbin Wu, & Wensheng Zhang. (2015). A multi-mode waveguide tunnel channel model for high-speed train wireless communication systems. DMU Open Research Archive (De Montfort University). 1–5. 11 indexed citations
18.
Wu, Shangbin, Cheng‐Xiang Wang, El‐Hadi M. Aggoune, & Mohammed M. Alwakeel. (2015). A novel Kronecker-based stochastic model for massive MIMO channels. 1–6. 20 indexed citations
19.
Wu, Shangbin, Cheng‐Xiang Wang, Harald Haas, et al.. (2014). A Non-Stationary Wideband Channel Model for Massive MIMO Communication Systems. IEEE Transactions on Wireless Communications. 14(3). 1434–1446. 140 indexed citations
20.
Wu, Shangbin, et al.. (1999). Netlander Positioning with the Mars Infrastructure Constellation and its Impact on Martian Geodesy. NASA Technical Reports Server (NASA). 1 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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