Xiaoyu Dang

773 citations
69 papers · 546 · h-index 14

Impact in

Papers in

Xiaoyu Dang

63 papers receiving 536 citations

Peers

Xiaoyu Dang
Comparison fields: 5 of 47
  • Aerospace Engineering 207
  • Computer Networks and Communications 169
  • Electrical and Electronic Engineering 365
  • Signal Processing 46
  • Artificial Intelligence 100
Replace Xingjian Li with:
Xingjian Li China
Hung Tran Sweden
Binhong Dong China
Aliakbar Tadaion Iran
Aashish Mathur India
Xiao Yan China
Kai Luo China
Naoki Ishikawa Japan
Mohammed F. A. Ahmed Canada
Saeid Haghighatshoar Germany
Xiaoyu Dang relative to Xingjian Li China Xingjian Li's profile →
Citations per field
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Xingjian Li · 1×
Citations per year

Countries citing papers authored by Xiaoyu Dang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoyu Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoyu Dang Line = papers co-authored together Xiaoyu Dang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202275
2 201927
3 201826
4 201925
5 202021
6 201519
7 201918
8 201117
9 202316
10 201915
11 202015
12 202115
13 202215
14 201914
15 201813
16 201812
17 202311
18 202411
19 202310
20 202310

About Xiaoyu Dang

Xiaoyu Dang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Signal Processing and Artificial Intelligence, having authored 69 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (26 papers), Cooperative Communication and Network Coding (20 papers), Advanced Wireless Communication Technologies (16 papers), Wireless Signal Modulation Classification (9 papers), Direction-of-Arrival Estimation Techniques (8 papers), Radar Systems and Signal Processing (8 papers), Antenna Design and Optimization (7 papers) and Energy Harvesting in Wireless Networks (7 papers). The work is most often cited by research in Aerospace Engineering (207 citations), Computer Networks and Communications (169 citations), Electrical and Electronic Engineering (365 citations), Signal Processing (46 citations) and Artificial Intelligence (100 citations). Xiaoyu Dang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiangbin Yu, Marco Di Renzo, Weijie Yuan, Byonghyo Shim, Wen Wu, Ruoyu Zhang, Kezhi Wang, S.H. Leung, Jun-Bo Wang and Ming Chen. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Vehicular Technology, IEEE Transactions on Communications, IEEE Access and China Communications.

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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