Sheng Yang

2.5k total citations
64 papers, 1.2k citations indexed

About

Sheng Yang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Sheng Yang has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 48 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Sheng Yang's work include Cooperative Communication and Network Coding (36 papers), Advanced MIMO Systems Optimization (26 papers) and Advanced Wireless Communication Techniques (12 papers). Sheng Yang is often cited by papers focused on Cooperative Communication and Network Coding (36 papers), Advanced MIMO Systems Optimization (26 papers) and Advanced Wireless Communication Techniques (12 papers). Sheng Yang collaborates with scholars based in France, China and Israel. Sheng Yang's co-authors include Jean‐Claude Belfiore, Jean-Claude Belfiore, Kaibin Huang, Mari Kobayashi, Shlomo Shamai, Khac–Hoang Ngo, Yuqing Du, Ioannis Krikidis, Victor O. K. Li and Kostas Berberidis and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Sheng Yang

57 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
Sheng Yang France 17 997 898 166 87 43 64 1.2k
Huazi Zhang China 17 950 1.0× 788 0.9× 200 1.2× 99 1.1× 24 0.6× 71 1.2k
H. Koorapaty United States 13 740 0.7× 470 0.5× 101 0.6× 83 1.0× 84 2.0× 40 818
Hamid R. Sadjadpour United States 18 667 0.7× 1.1k 1.3× 93 0.6× 66 0.8× 13 0.3× 141 1.3k
Dominik Seethaler Austria 15 1.0k 1.0× 772 0.9× 203 1.2× 64 0.7× 27 0.6× 34 1.1k
Lun Dong United States 8 1.5k 1.5× 1.2k 1.4× 115 0.7× 129 1.5× 87 2.0× 18 1.5k
Mario Goldenbaum Germany 12 465 0.5× 419 0.5× 180 1.1× 51 0.6× 21 0.5× 33 666
Shu‐Ming Tseng Taiwan 12 497 0.5× 359 0.4× 142 0.9× 91 1.0× 41 1.0× 97 670
Ronald Böhnke Germany 11 1.4k 1.4× 1.1k 1.3× 206 1.2× 79 0.9× 19 0.4× 32 1.5k
Biao He Australia 13 1.1k 1.1× 405 0.5× 374 2.3× 176 2.0× 80 1.9× 31 1.1k
S. Ali. A. Fakoorian United States 11 1.4k 1.4× 772 0.9× 209 1.3× 202 2.3× 175 4.1× 18 1.5k

Countries citing papers authored by Sheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Yang. A scholar is included among the top collaborators of Sheng Yang 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 Sheng Yang. Sheng Yang 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.
Yang, Sheng & Richard Combes. (2025). Asymptotic Capacity of 1-bit MIMO Fading Channels. IEEE Transactions on Information Theory. 71(4). 2626–2641.
2.
Yang, Sheng, et al.. (2024). On Universal Decoding over Memoryless Channels with the Krichevsky-Trofimov Estimator. SPIRE - Sciences Po Institutional REpository. 1498–1503.
3.
Cui, Ying, et al.. (2022). Rate Splitting for General Multicast. ICC 2022 - IEEE International Conference on Communications. 3936–3941. 1 indexed citations
4.
Yan, Qifa, Sheng Yang, & Michèle Wigger. (2022). Storage-Computation-Communication Tradeoff in Distributed Computing: Fundamental Limits and Complexity. IEEE Transactions on Information Theory. 68(8). 5496–5512. 15 indexed citations
5.
Du, Yuqing, Sheng Yang, & Kaibin Huang. (2020). High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. IEEE Transactions on Signal Processing. 68. 2128–2142. 87 indexed citations
6.
Zhu, Rong, Sheng Yang, Andreas Pfadler, Zhengping Qian, & Jingren Zhou. (2020). Learning Efficient Parameter Server Synchronization Policies for Distributed SGD. International Conference on Learning Representations. 2 indexed citations
7.
Yan, Qifa, Michèle Wigger, Sheng Yang, & Xiaohu Tang. (2019). A Fundamental Storage-Communication Tradeoff in Distributed Computing with Straggling Nodes. SPIRE - Sciences Po Institutional REpository. 2803–2807. 16 indexed citations
8.
Combes, Richard, Asma Ghorbel, Mari Kobayashi, & Sheng Yang. (2018). Utility Optimal Scheduling for Coded Caching in General Topologies. IEEE Journal on Selected Areas in Communications. 36(8). 1692–1705. 9 indexed citations
9.
Yan, Qifa, Sheng Yang, & Michèle Wigger. (2018). A Storage-Computation-Communication Tradeoff for Distributed Computing. arXiv (Cornell University). 1–5.
10.
Yan, Qifa, Sheng Yang, & Michèle Wigger. (2018). Storage, Computation, and Communication: A Fundamental Tradeoff in Distributed Computing. HAL (Le Centre pour la Communication Scientifique Directe). 23 indexed citations
11.
Combes, Richard, Asma Ghorbel, Mari Kobayashi, & Sheng Yang. (2018). Utility Optimal Scheduling for Coded Caching in General Topologies. SPIRE - Sciences Po Institutional REpository. 1919–1923. 2 indexed citations
12.
Kong, Chuili, Caijun Zhong, Shi Jin, et al.. (2017). Full-Duplex Massive MIMO Relaying Systems With Low-Resolution ADCs. IEEE Transactions on Wireless Communications. 16(8). 5033–5047. 61 indexed citations
13.
Ghorbel, Asma, Mari Kobayashi, & Sheng Yang. (2016). Content Delivery in Erasure Broadcast Channels With Cache and Feedback. IEEE Transactions on Information Theory. 62(11). 6407–6422. 24 indexed citations
14.
Ghorbel, Asma, Mari Kobayashi, & Sheng Yang. (2016). Content delivery in erasure broadcast channels with cache and feedback. HAL (Le Centre pour la Communication Scientifique Directe). 835–839. 2 indexed citations
15.
Chen, Jinyuan, Sheng Yang, Ayfer Özgür, & Andrea Goldsmith. (2016). Achieving Full DoF in Heterogeneous Parallel Broadcast Channels With Outdated CSIT. IEEE Transactions on Information Theory. 62(7). 4154–4171. 5 indexed citations
16.
Yang, Sheng & Mari Kobayashi. (2015). Secure communication in K-user multi-antenna broadcast channel with state feedback. HAL (Le Centre pour la Communication Scientifique Directe). 1976–1980. 5 indexed citations
17.
18.
Krikidis, Ioannis, Himal A. Suraweera, Sheng Yang, & Kostas Berberidis. (2012). Full-Duplex Relaying over Block Fading Channel: A Diversity Perspective. IEEE Transactions on Wireless Communications. 11(12). 4524–4535. 79 indexed citations
19.
Kobayashi, Mari, Sheng Yang, Pablo Piantanida, & Shlomo Shamai. (2010). On the Multi-Antenna Block Fading Wiretap Channels. arXiv (Cornell University). 1 indexed citations
20.
Yang, Sheng, et al.. (2010). Two-hop relay channels with limited feedback. 49. 2421–2425.

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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