Hei Victor Cheng

1.8k total citations · 2 hit papers
39 papers, 1.1k citations indexed

About

Hei Victor Cheng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Hei Victor Cheng has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 8 papers in Aerospace Engineering. Recurrent topics in Hei Victor Cheng's work include Advanced MIMO Systems Optimization (23 papers), Energy Harvesting in Wireless Networks (11 papers) and Cooperative Communication and Network Coding (11 papers). Hei Victor Cheng is often cited by papers focused on Advanced MIMO Systems Optimization (23 papers), Energy Harvesting in Wireless Networks (11 papers) and Cooperative Communication and Network Coding (11 papers). Hei Victor Cheng collaborates with scholars based in Canada, Sweden and China. Hei Victor Cheng's co-authors include Wei Yu, Ying‐Chang Liang, Erik G. Larsson, Tao Jiang, Emil Björnson, Huayan Guo, Jie Chen, Ruizhe Long, Qianqian Zhang and Jie Chen 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

Hei Victor Cheng

37 papers receiving 1.1k citations

Hit Papers

Learning to Reflect and t... 2021 2026 2022 2024 2021 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hei Victor Cheng Canada 14 1.0k 385 229 61 53 39 1.1k
Bin Lyu China 19 1.1k 1.1× 368 1.0× 250 1.1× 75 1.2× 58 1.1× 72 1.2k
Ibrahim Hemadeh United Kingdom 16 1.1k 1.1× 473 1.2× 181 0.8× 38 0.6× 33 0.6× 40 1.2k
Anastasios Papazafeiropoulos United Kingdom 23 1.3k 1.3× 480 1.2× 433 1.9× 43 0.7× 24 0.5× 82 1.4k
Gangcan Sun China 17 855 0.8× 376 1.0× 186 0.8× 49 0.8× 51 1.0× 56 968
Zhong Zheng China 16 618 0.6× 307 0.8× 272 1.2× 58 1.0× 25 0.5× 83 768
Arman Shojaeifard United Kingdom 20 1.0k 1.0× 420 1.1× 373 1.6× 38 0.6× 34 0.6× 64 1.2k
Bho Matthiesen Germany 13 634 0.6× 366 1.0× 292 1.3× 43 0.7× 16 0.3× 39 816
Xiaodan Shao China 19 885 0.9× 481 1.2× 253 1.1× 48 0.8× 74 1.4× 58 1.2k
Jianpeng Ma China 13 672 0.7× 243 0.6× 139 0.6× 29 0.5× 23 0.4× 31 757

Countries citing papers authored by Hei Victor Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hei Victor Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hei Victor Cheng. 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 Hei Victor Cheng. The network helps show where Hei Victor Cheng may publish in the future.

Co-authorship network of co-authors of Hei Victor Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Hei Victor Cheng. A scholar is included among the top collaborators of Hei Victor Cheng 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 Hei Victor Cheng. Hei Victor Cheng 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.
Yu, Zhiyong, Hei Victor Cheng, Xin Liu, et al.. (2024). Microservice Deployment for Satellite Edge AI Inference via Deep Reinforcement Learning. 1–6. 1 indexed citations
2.
Cheng, Hei Victor, et al.. (2024). Transmitting Data Through Reconfigurable Intelligent Surface: A Spatial Sigma-Delta Modulation Approach. 9251–9255. 1 indexed citations
3.
Chen, Jie, Ying‐Chang Liang, Hei Victor Cheng, & Wei Yu. (2023). Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems. IEEE Transactions on Wireless Communications. 22(10). 6853–6869. 160 indexed citations breakdown →
4.
Jiang, Tao, Hei Victor Cheng, & Wei Yu. (2021). Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation. IEEE Journal on Selected Areas in Communications. 39(7). 1931–1945. 200 indexed citations breakdown →
5.
Cheng, Hei Victor & Wei Yu. (2021). Multiplexing Gain of Modulating Phases Through Reconfigurable Intelligent Surface. 2346–2351. 10 indexed citations
6.
Shen, Kaiming, Hei Victor Cheng, Xihan Chen, Yonina C. Eldar, & Wei Yu. (2020). Enhanced Channel Estimation in Massive MIMO via Coordinated Pilot Design. IEEE Transactions on Communications. 68(11). 6872–6885. 11 indexed citations
7.
Cheng, Hei Victor, et al.. (2020). Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO. IEEE Transactions on Communications. 68(5). 2878–2890. 13 indexed citations
8.
Cui, Ying, et al.. (2019). Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access With Massive MIMO. IEEE Communications Letters. 23(12). 2381–2385. 9 indexed citations
9.
Chen, Xihan, Kaiming Shen, Hei Victor Cheng, et al.. (2019). Power Control for Massive MIMO Systems with Nonorthogonal Pilots. IEEE Communications Letters. 24(3). 612–616. 5 indexed citations
10.
Şenel, Kamil, Hei Victor Cheng, Emil Björnson, & Erik G. Larsson. (2019). What Role can NOMA Play in Massive MIMO?. IEEE Journal of Selected Topics in Signal Processing. 13(3). 597–611. 74 indexed citations
11.
Cui, Ying, et al.. (2019). Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-Encoder. IEEE Signal Processing Letters. 26(12). 1778–1782. 31 indexed citations
12.
Shen, Kaiming, Hei Victor Cheng, Yonina C. Eldar, & Wei Yu. (2019). Coordinated Nonorthogonal Pilot Design for Massive MIMO.. arXiv (Cornell University). 3 indexed citations
13.
Cheng, Hei Victor, et al.. (2019). A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO. 11. 4499–4503. 9 indexed citations
14.
Chen, Xihan, An Liu, Wei Yu, et al.. (2019). Distributed Pilot Design for Massive Connectivity in Cellular Networks. 1–6. 2 indexed citations
15.
Cui, Ying, et al.. (2018). Optimal Hybrid Beamforming for Multiuser Massive MIMO Systems With Individual SINR Constraints. IEEE Wireless Communications Letters. 8(2). 532–535. 15 indexed citations
16.
Cheng, Hei Victor, Emil Björnson, & Erik G. Larsson. (2018). Semi-Closed Form Solution for Sum Rate Maximization in Downlink Multiuser MIMO Via Large-System Analysis. 3699–3703. 1 indexed citations
17.
Cheng, Hei Victor, Daniel Persson, & Erik G. Larsson. (2018). Optimal MIMO Precoding Under a Constraint on the Amplifier Power Consumption. IEEE Transactions on Communications. 67(1). 218–229. 7 indexed citations
18.
Cheng, Hei Victor & Erik G. Larsson. (2013). Some fundamental limits on frequency synchronization in massive MIMO. 1213–1217. 28 indexed citations
19.
Kapetanović, Dževdan, Hei Victor Cheng, Wai Ho Mow, & Fredrik Rusek. (2013). Optimal Two-Dimensional Lattices for Precoding of Linear Channels. IEEE Transactions on Wireless Communications. 12(5). 2104–2113. 12 indexed citations
20.
Kapetanović, Dževdan, Hei Victor Cheng, Wai Ho Mow, & Fredrik Rusek. (2011). Optimal lattices for MIMO precoding. Lund University Publications (Lund University). a. 2924–2928. 3 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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