Weiyi Zhang

10 papers receiving 414 citations

Hit Papers

Experience-driven Networking: A Deep Reinforcement Learni...20182026202020232018100200300

Peers

Weiyi Zhang
Comparison fields: 5 of 37
  • Computer Networks and Communications 360
  • Electrical and Electronic Engineering 187
  • Information Systems 95
  • Artificial Intelligence 70
  • Computer Vision and Pattern Recognition 24
Replace Mateus Augusto Silva Santos with:
Mateus Augusto Silva Santos Brazil
Jaime Galán–Jiménez Spain
Chinmaya Kumar Dehury Estonia
Md Monjurul Karim China
Abdelquoddouss Laghrissi Finland
Pedro Martínez-Julia Japan
Weibei Fan China
Elisa Rojas Spain
Kotaro Kataoka India
Chien-Chang Liu Taiwan
Weiyi Zhang relative to Mateus Augusto Silva Santos Brazil Mateus Augusto Silva Santos's profile →
Citations per field
00.5×1.5×
Mateus Augusto Silva Santos · 1×
Citations per year

Countries citing papers authored by Weiyi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Weiyi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyi Zhang. A scholar is included among the top collaborators of Weiyi Zhang 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 Weiyi Zhang. Weiyi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 4
5 1
6 2
7 15
8 1
9
Experience-driven Networking: A Deep Reinforcement Learning based Approachbreakdown →
302
10 2
11 3
12 19
13 2
14 71
15 1

About Weiyi Zhang

Weiyi Zhang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 15 papers that have together received 424 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (7 papers), Advanced Optical Network Technologies (4 papers) and Wireless Networks and Protocols (2 papers). The work is most often cited by research in Computer Networks and Communications (360 citations), Information Systems (95 citations) and Electrical and Electronic Engineering (187 citations). Weiyi Zhang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jian Tang, Zhiyuan Xu, Dejun Yang, Yanzhi Wang, Chi Harold Liu, Jielong Xu, Guoliang Xue, Kevin Kwiat, Maurício G. C. Resende and Rakesh Sinha. Their work appears in journals such as Journal of Applied Physics, IEEE Communications Magazine and Journal of Environmental Management.

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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