Xiaobei Liu

537 citations
50 papers · 382 indexed · h-index 12

Impact in

Papers in

Xiaobei Liu

46 papers receiving 367 citations

Peers

Xiaobei Liu
Comparison fields: 5 of 84
  • Signal Processing 42
  • Computer Networks and Communications 78
  • Cancer Research 34
  • Artificial Intelligence 70
  • Electrical and Electronic Engineering 122
Replace Duoli Zhang with:
Duoli Zhang China
Xiaomei Qu China
Xiaoying Qiu China
Sun Yong Kim South Korea
Ruhui Liu China
King Wai Lau United Kingdom
Jingjing Zhao China
Wei Xiang China
Yizhi Huang China
Hsueh-I Lu Taiwan
Xiaobei Liu relative to Duoli Zhang China Duoli Zhang's profile →
Citations per field
00.5×4.7×
Duoli Zhang · 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
#Work
1 20250
2 20242
3 20240
4 20241
5 20241
6 20244
7 20240
8 20222
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10 20221
11 20221
12 202115
13 202111
14 20216
15 202013
16 202036
17 201916
18 201915
19 201812
20
Memory-Enhanced MMSE Decoding in vector quantization
20031

About Xiaobei Liu

Xiaobei Liu is a scholar working on Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 382 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), Metal Extraction and Bioleaching (4 papers), Advanced Adaptive Filtering Techniques (4 papers), PAPR reduction in OFDM (4 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Signal Processing (42 citations), Computer Networks and Communications (78 citations), Cancer Research (34 citations), Artificial Intelligence (70 citations) and Electrical and Electronic Engineering (122 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, Yong Lin, Longbang Chen, Ziman Zhu, 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 Communications and IEEE Transactions on Information Forensics and Security.

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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