Junyi Wang

540 citations
30 papers · 385 · h-index 9

Impact in

Papers in

Junyi Wang

25 papers receiving 378 citations

Peers

Junyi Wang
Comparison fields: 5 of 31
  • Computer Networks and Communications 188
  • Aerospace Engineering 68
  • Electrical and Electronic Engineering 109
  • Statistical and Nonlinear Physics 20
  • Computational Mechanics 21
Replace Martina Cardone with:
Martina Cardone United States
Honglin Zhao China
Simone Schuler Germany
Kaihui Liu China
Fatemeh Sheikholeslami United States
Ronit Bustin Israel
E‐L. Kuan United Kingdom
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Aliakbar Tadaion Iran
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Citations per field
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Citations per year

Countries citing papers authored by Junyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 202174
3 202366
4 199628
5 201726
6 200820
7 202218
8 202415
9 201613
10 20258
11 20125
12 20125
13 20054
14 20104
15 20244
16 20123
17 20092
18 20232
19 20232
20
Benefit of random network coding for file-sharing
20091

About Junyi Wang

Junyi Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering and Computational Mechanics, having authored 30 papers that have together received 385 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (7 papers), IoT and Edge/Fog Computing (5 papers), UAV Applications and Optimization (3 papers), Advanced Wireless Communication Techniques (3 papers), Advanced Neural Network Applications (2 papers), Millimeter-Wave Propagation and Modeling (2 papers), Wireless Networks and Protocols (2 papers) and Nonlinear Waves and Solitons (1 paper). The work is most often cited by research in Computer Networks and Communications (188 citations), Aerospace Engineering (68 citations), Electrical and Electronic Engineering (109 citations), Statistical and Nonlinear Physics (20 citations) and Computational Mechanics (21 citations). Junyi Wang has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Hongbing Qiu, Tunçer Baykaş, Hiroshi Harada, Wenjun Xu, Jun Cai, Chin‐Sean Sum, Ryuhei Funada, Shuzo Kato, Mohammad Ashiqur Rahman and Bin Li. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Network and Service Management, IEEE Transactions on Communications and IEEE Transactions on Mobile Computing.

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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