Weijia Han

443 citations
29 papers · 322 indexed · h-index 12
Topics
Cognitive Radio Networks and Spectrum Sensing (12 papers)Distributed Sensor Networks and Detection Algorithms (8 papers)Advanced MIMO Systems Optimization (8 papers)

In The Last Decade

Weijia Han

27 papers receiving 316 citations

Peers

Weijia Han
Comparison fields: 5 of 27
  • Computer Networks and Communications 255
  • Electrical and Electronic Engineering 235
  • Aerospace Engineering 28
  • Computational Mechanics 20
  • Artificial Intelligence 20
Replace Jad Nasreddine with:
Jad Nasreddine Germany
Ntsibane Ntlatlapa South Africa
Ekram Hossain Canada
Sanket S. Kalamkar India
Paul Houzé France
Matthew Sherman United States
S. Mazur Sweden
Bahman Abolhassani Iran
Dionysia Triantafyllopoulou United Kingdom
Jesper H. Sørensen Denmark
Weijia Han relative to Jad Nasreddine Germany Jad Nasreddine's profile →
Citations per field
00.5×3.2×
Jad Nasreddine · 1×
Citations per year

Countries citing papers authored by Weijia Han

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Han

This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Han. A scholar is included among the top collaborators of Weijia Han 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 Weijia Han. Weijia Han 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
#WorkIndexed citations
1 0
2 0
3 4
4 2
5 1
6 1
7 1
8 4
9 33
10 4
11 8
12 11
13 2
14 16
15 15
16 3
17 15
18 14
19 18
20 40

About Weijia Han

Weijia Han is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 29 papers that have together received 322 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (12 papers), Distributed Sensor Networks and Detection Algorithms (8 papers) and Advanced MIMO Systems Optimization (8 papers). The work is most often cited by research in Computer Networks and Communications (255 citations), Electrical and Electronic Engineering (235 citations) and Computational Mathematics (1 citation). Weijia Han has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jiandong Li, Xiao Ma, Zan Li, Min Sheng, Zhi Tian, Jiangbo Si, Shuguang Cui, Yan Zhang, Xijun Wang and Yan Zhang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications 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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