Shuangqing Wei

1.4k total citations
101 papers, 891 citations indexed

About

Shuangqing Wei is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shuangqing Wei has authored 101 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Electrical and Electronic Engineering, 54 papers in Computer Networks and Communications and 40 papers in Artificial Intelligence. Recurrent topics in Shuangqing Wei's work include Wireless Communication Security Techniques (39 papers), Cooperative Communication and Network Coding (22 papers) and Chaos-based Image/Signal Encryption (17 papers). Shuangqing Wei is often cited by papers focused on Wireless Communication Security Techniques (39 papers), Cooperative Communication and Network Coding (22 papers) and Chaos-based Image/Signal Encryption (17 papers). Shuangqing Wei collaborates with scholars based in United States, China and Greece. Shuangqing Wei's co-authors include Dennis Goeckel, Matthew C. Valenti, George T. Amariucai, Jian Yuan, Patrick A. Kelly, Rajgopal Kannan, Ramakrishna Janaswamy, Yue Jin, Vasu Chakravarthy and Xudong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Shuangqing Wei

92 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuangqing Wei United States 13 660 554 167 95 69 101 891
Ragnar Thobaben Sweden 18 867 1.3× 788 1.4× 149 0.9× 67 0.7× 51 0.7× 91 1.0k
Basel Alomair Saudi Arabia 14 371 0.6× 414 0.7× 133 0.8× 42 0.4× 58 0.8× 47 720
Alfonso Caño United States 10 654 1.0× 772 1.4× 217 1.3× 46 0.5× 72 1.0× 22 1.0k
Paul Yu United States 13 505 0.8× 310 0.6× 235 1.4× 145 1.5× 102 1.5× 48 722
Babak Azimi-Sadjadi United States 11 333 0.5× 356 0.6× 159 1.0× 158 1.7× 68 1.0× 22 659
Soheil Mohajer United States 15 587 0.9× 568 1.0× 200 1.2× 47 0.5× 17 0.2× 96 957
Tobias J. Oechtering Sweden 20 1.3k 1.9× 1.2k 2.1× 280 1.7× 58 0.6× 29 0.4× 186 1.6k
András György Canada 18 322 0.5× 564 1.0× 390 2.3× 148 1.6× 24 0.3× 68 991
Jung-Fu Cheng United States 14 1.1k 1.6× 976 1.8× 343 2.1× 41 0.4× 79 1.1× 47 1.4k
Chen-Mou Cheng Taiwan 13 231 0.3× 467 0.8× 254 1.5× 95 1.0× 187 2.7× 42 696

Countries citing papers authored by Shuangqing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Shuangqing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangqing Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangqing Wei. A scholar is included among the top collaborators of Shuangqing Wei 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 Shuangqing Wei. Shuangqing Wei 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.
Nghiem, Truong X., et al.. (2024). Communication-efficient ADMM using quantization-aware Gaussian process regression. SHILAP Revista de lepidopterología. 12. 100098–100098.
2.
Amariucai, George T., et al.. (2023). The Economics of Privacy and Utility: Investment Strategies. IEEE Transactions on Information Forensics and Security. 19. 1744–1755.
3.
Wan, Xiaoliang & Shuangqing Wei. (2020). Coupling the reduced-order model and the generative model for an importance sampling estimator. Journal of Computational Physics. 408. 109281–109281. 8 indexed citations
4.
Jin, Yue, Shuangqing Wei, Jian Yuan, Xudong Zhang, & Chao Wang. (2020). Stabilizing Multi-Agent Deep Reinforcement Learning by Implicitly Estimating Other Agents’ Behaviors. Civil War Book Review. 518. 3547–3551. 3 indexed citations
5.
Wang, Jian, et al.. (2020). A Semi-centralized Security Framework for In-Vehicle Networks. Civil War Book Review. 1–6. 4 indexed citations
6.
Wei, Shuangqing, et al.. (2019). Information Bottleneck Problem Revisited. Civil War Book Review. 40–47. 6 indexed citations
7.
Amariucai, George T., et al.. (2018). On the Secret Key Capacity of Sibling Hidden Markov Models. IEEE Transactions on Information Forensics and Security. 14(2). 514–524.
8.
Amariucai, George T., et al.. (2016). Secret Common Randomness From Routing Metadata in Ad Hoc Networks. IEEE Transactions on Information Forensics and Security. 11(8). 1674–1684. 12 indexed citations
9.
Wei, Shuangqing, et al.. (2015). Topological and Algebraic Properties for Classifying Unrooted Gaussian Trees under Privacy Constraints. 2015 IEEE Global Communications Conference (GLOBECOM). 2. 1–6. 1 indexed citations
10.
Wei, Shuangqing, et al.. (2013). ARQ-Based Symmetric-Key Generation Over Correlated Erasure Channels. IEEE Transactions on Information Forensics and Security. 8(7). 1152–1161. 2 indexed citations
11.
Wei, Shuangqing, et al.. (2012). ARQ-based key scheduling algorithm over correlated erasure channels. Civil War Book Review. 1 indexed citations
12.
Wei, Shuangqing, et al.. (2012). Linear cryptanalysis against block ciphered system under noisy ciphertexts. Civil War Book Review. 856–861. 5 indexed citations
13.
Amariucai, George T. & Shuangqing Wei. (2010). Active eavesdropping in fast fading channels: A Block-Markov Wyner secrecy encoding scheme. Civil War Book Review. 2508–2512. 3 indexed citations
14.
Kannan, Rajgopal, Shuangqing Wei, Jian Zhang, & Athanasios V. Vasilakos. (2010). Throughput optimization for cognitive radios under sensing uncertainty. Civil War Book Review. 767–772. 4 indexed citations
15.
Kannan, Rajgopal, Shuangqing Wei, Costas Busch, & Athanasios V. Vasilakos. (2009). Online algorithms for maximizing quality of link transmissions over a jammed wireless channel. Civil War Book Review. 1–6. 1 indexed citations
16.
Wei, Shuangqing & Rajgopal Kannan. (2008). Jamming and counter-measure strategies in parallel Gaussian fading channels with channel state information. Civil War Book Review. 1–7. 8 indexed citations
17.
18.
Kannan, Rajgopal & Shuangqing Wei. (2006). Approximation algorithms for power-aware scheduling of wireless sensor networks with rate and duty-cycle constraints. Civil War Book Review. 1 indexed citations
19.
Kannan, Rajgopal, Shuangqing Wei, & Vasu Chakravarthy. (2006). Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2(3). 225–249. 2 indexed citations
20.
Wei, Shuangqing, et al.. (2006). On Superposition Coding Based Cooperative Diversity Schemes. 1046–1050. 20 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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