Xiuhong Wei

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

About

Xiuhong Wei is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Infectious Diseases. According to data from OpenAlex, Xiuhong Wei has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Aerospace Engineering and 0 papers in Infectious Diseases. Recurrent topics in Xiuhong Wei's work include Antenna Design and Analysis (6 papers), Advanced Wireless Communication Technologies (5 papers) and Indoor and Outdoor Localization Technologies (3 papers). Xiuhong Wei is often cited by papers focused on Antenna Design and Analysis (6 papers), Advanced Wireless Communication Technologies (5 papers) and Indoor and Outdoor Localization Technologies (3 papers). Xiuhong Wei collaborates with scholars based in China. Xiuhong Wei's co-authors include Linglong Dai, Decai Shen, Mingyao Cui, Zidong Wu, Yu Lü, Chen Hu, Guanghui Yu, Yajun Zhao and Xiangyang Duan and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Communications and IEEE Communications Letters.

In The Last Decade

Xiuhong Wei

7 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.

Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions

2022 353 citations Mingyao Cui, Zidong Wu et al. IEEE Communications Magazine profile →
Channel Estimation for RIS Assisted Wireless Communications—Part II: An Improved Solution Based on Double-Structured Sparsity

2021 198 citations Xiuhong Wei, Decai Shen et al. IEEE Communications Letters profile →

Peers

Xiuhong Wei

EEE

AE

CNC

OE

AI

Ibrahim Hemadeh United Kingdom

Gangcan Sun China

Mengnan Jian China

Hei Victor Cheng Canada

Jianpeng Ma China

Haiquan Lu China

Jingbo Tan China

Pandelis Kourtessis United Kingdom

Kyungchun Lee South Korea

Mingyao Cui China

Ibrahim Hemadeh United Kingdom

Xiuhong Wei

1.1k ×1.0

EEE

473 ×0.8

AE

181 ×1.6

CNC

38 ×0.7

OE

42 ×0.8

AI

Citations per year, relative to Xiuhong Wei Xiuhong Wei (= 1×) peers Ibrahim Hemadeh

Countries citing papers authored by Xiuhong Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xiuhong Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuhong Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuhong Wei. A scholar is included among the top collaborators of Xiuhong 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 Xiuhong Wei. Xiuhong Wei 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:

7 of 7 papers shown

1.

Dai, Linglong & Xiuhong Wei. (2022). Distributed Machine Learning Based Downlink Channel Estimation for RIS Assisted Wireless Communications. IEEE Transactions on Communications. 70(7). 4900–4909. 51 indexed citations

2.

Cui, Mingyao, Zidong Wu, Yu Lü, Xiuhong Wei, & Linglong Dai. (2022). Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions. IEEE Communications Magazine. 61(1). 40–46. 353 indexed citations breakdown →

3.

Wei, Xiuhong, Linglong Dai, Yajun Zhao, Guanghui Yu, & Xiangyang Duan. (2022). Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?. China Communications. 19(6). 193–204. 101 indexed citations

4.

Wei, Xiuhong & Linglong Dai. (2021). Channel Estimation for Extremely Large-Scale Massive MIMO: Far-Field, Near-Field, or Hybrid-Field?. IEEE Communications Letters. 26(1). 177–181. 149 indexed citations

5.

Wei, Xiuhong, Decai Shen, & Linglong Dai. (2021). Channel Estimation for RIS Assisted Wireless Communications—Part I: Fundamentals, Solutions, and Future Opportunities. IEEE Communications Letters. 25(5). 1398–1402. 141 indexed citations

6.

Wei, Xiuhong, Decai Shen, & Linglong Dai. (2021). Channel Estimation for RIS Assisted Wireless Communications—Part II: An Improved Solution Based on Double-Structured Sparsity. IEEE Communications Letters. 25(5). 1403–1407. 198 indexed citations breakdown →

7.

Wei, Xiuhong, Chen Hu, & Linglong Dai. (2020). Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems. IEEE Transactions on Communications. 69(1). 182–193. 139 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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