Xiaobei Liu

47 papers receiving 381 citations

Peers

Xiaobei Liu
Comparison fields: 5 of 79
  • Signal Processing 42
  • Computer Networks and Communications 82
  • Artificial Intelligence 72
  • Electrical and Electronic Engineering 123
  • Cancer Research 27
Replace Hossein Jafari with:
Hossein Jafari Iran
Duoli Zhang China
Lizhong Xu China
Cesim Erten Türkiye
Xiaomei Qu China
Yizhi Huang China
Xiaoying Qiu China
Panagiotis D. Vouzis United States
Hua Zou China
Xiaobei Liu relative to Hossein Jafari Iran Hossein Jafari's profile →
Citations per field
00.5×4.0×
Hossein Jafari · 1×
Citations per year

Countries citing papers authored by Xiaobei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobei Liu, 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 Xiaobei Liu Line = papers co-authored together Xiaobei Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 202036
3 201128
4 201321
5 201918
6 202116
7 201915
8 202013
9 201812
10 202111
11 201111
12 202110
13 202110
14 20159
15 20119
16 20209
17 20248
18 20217
19 20077
20 20216

About Xiaobei Liu

Xiaobei Liu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Biomedical Engineering, having authored 50 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (12 papers), Blind Source Separation Techniques (8 papers), Error Correcting Code Techniques (6 papers), Coding theory and cryptography (5 papers), Advanced Adaptive Filtering Techniques (4 papers), Metal Extraction and Bioleaching (4 papers), PAPR reduction in OFDM (4 papers) and Minerals Flotation and Separation Techniques (3 papers). The work is most often cited by research in Signal Processing (42 citations), Computer Networks and Communications (82 citations), Artificial Intelligence (72 citations), Electrical and Electronic Engineering (123 citations) and Cancer Research (27 citations). Xiaobei Liu has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Soo Ngee Koh, Yong Liang Guan, Xin-Wen Wu, Xiaoyuan Chu, Lijun Xue, Longbang Chen, Ziman Zhu, Yong Lin, Jinghua Wang and Quansheng Su. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Vehicular Technology, Journal of Radioanalytical and Nuclear Chemistry, IEEE Transactions on Information Forensics and Security and IEEE Transactions on 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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