Beibei Wang

1.7k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Beibei Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Beibei Wang has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Beibei Wang's work include Advanced MIMO Systems Optimization (3 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Advanced Wireless Network Optimization (3 papers). Beibei Wang is often cited by papers focused on Advanced MIMO Systems Optimization (3 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Advanced Wireless Network Optimization (3 papers). Beibei Wang collaborates with scholars based in United States, China and United Kingdom. Beibei Wang's co-authors include K J R Liu, Yan Chen, Yongle Wu, Zhu Ji, T. Charles Clancy, K.J. Ray Liu, K.J. Ray Liu, Yuehu Liu, Shuqiang Jiang and Xinhang Song and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Multimedia.

In The Last Decade

Beibei Wang

9 papers receiving 1.1k 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.

Advances in cognitive radio networks: A survey

2010 972 citations Beibei Wang, K J R Liu IEEE Journal of Selected Topics in Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beibei Wang United States	6	1.1k	849	100	97	89	9	1.2k
Dennis Roberson United States	12	750 0.7×	671 0.8×	100 1.0×	82 0.8×	106 1.2×	32	942
Ravikumar Balakrishnan United States	10	1.5k 1.4×	991 1.2×	163 1.6×	127 1.3×	169 1.9×	17	1.6k
Matthias Wellens Germany	15	909 0.8×	769 0.9×	112 1.1×	35 0.4×	93 1.0×	28	1.1k
Yong Huat Chew Singapore	18	761 0.7×	783 0.9×	76 0.8×	190 2.0×	32 0.4×	118	1.1k
Brandon F. Lo United States	8	1.7k 1.6×	1.1k 1.3×	168 1.7×	126 1.3×	177 2.0×	8	1.8k
Ghurumuruhan Ganesan India	8	1.9k 1.8×	1.3k 1.6×	182 1.8×	82 0.8×	145 1.6×	28	2.0k
Mario Bkassiny United States	12	566 0.5×	484 0.6×	110 1.1×	151 1.6×	49 0.6×	24	810
Amir Ghasemi Canada	11	3.0k 2.8×	2.1k 2.5×	294 2.9×	226 2.3×	287 3.2×	38	3.1k
Kostas Tsagkaris Greece	18	997 0.9×	888 1.0×	48 0.5×	58 0.6×	26 0.3×	118	1.3k
Abdelmohsen Ali Canada	8	603 0.6×	588 0.7×	115 1.1×	84 0.9×	105 1.2×	18	864

Countries citing papers authored by Beibei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Beibei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wang, Beibei. (2023). Construction and practice of training system for dance professionals based on OBE teaching model combined with Kinect motion capture technology. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

2.

Liu, Yuehu, et al.. (2023). Generating Explanations for Embodied Action Decision from Visual Observation. 2838–2846. 1 indexed citations

3.

Chen, Yan, et al.. (2010). Spectrum Auction Games for Multimedia Streaming Over Cognitive Radio Networks. IEEE Transactions on Communications. 58(8). 2381–2390. 65 indexed citations

4.

Wang, Beibei & K J R Liu. (2010). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing. 5(1). 5–23. 972 indexed citations breakdown →

5.

Chen, Yan, Yongle Wu, Beibei Wang, & K.J. Ray Liu. (2010). An auction-based framework for multimedia streaming over cognitive radio networks. 2350–2353. 4 indexed citations

6.

Wu, Yongle, Beibei Wang, & K J R Liu. (2010). Optimal Defense against Jamming Attacks in Cognitive Radio Networks Using the Markov Decision Process Approach. 1–5. 36 indexed citations

7.

Chen, Yan, Beibei Wang, & K.J. Ray Liu. (2009). A game-theoretic framework for multi-user multimedia rate allocation. 1997–2000. 6 indexed citations

8.

Chen, Yan, Beibei Wang, & K.J. Ray Liu. (2009). Multiuser rate allocation games for multimedia communications. IEEE Transactions on Multimedia. 11(6). 1170–1181. 34 indexed citations

9.

Wang, Beibei, et al.. (2008). Primary-prioritized Markov approach for dynamic spectrum allocation. IEEE Transactions on Wireless Communications. 8(4). 1854–1865. 96 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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