Wu Yang

3.8k citations
155 papers · 2.7k · 1 hit paper · h-index 28

Impact in

Papers in

Wu Yang

143 papers receiving 2.6k citations

Wu Yang's Hit Papers

A Survey on Green 6G Network: Architecture and Technologies 2019 · 355 citations
3550+2+4Years since publication100200300

Peers

Wu Yang
Comparison fields: 5 of 122
  • Computer Networks and Communications 1.1k
  • Information Systems 647
  • Signal Processing 247
  • Artificial Intelligence 649
  • Electrical and Electronic Engineering 984
Replace Muhammad Waqas with:
Muhammad Waqas Pakistan
Hanlin Zhang China
Qiao Yan China
Dongxiao Yu China
Julie A. McCann United Kingdom
Yunhuai Liu China
Laizhong Cui China
Xiaoheng Deng China
Bing Chen China
Nadra Guizani United States
Wu Yang relative to Muhammad Waqas Pakistan Muhammad Waqas's profile →
Citations per field
00.5×3.4×
Muhammad Waqas · 1×
Citations per year

Countries citing papers authored by Wu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey on Green 6G Network: Architecture and Technologies
Hit paper breakdown →
2019355
2 2019148
3 202095
4 202093
5 202083
6 201980
7 202174
8 202171
9 201567
10 201863
11 202161
12 202156
13 202255
14 201551
15 201546
16 201744
17 202240
18 202139
19 202339
20 202037

About Wu Yang

Wu Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 155 papers that have together received 2.7k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (32 papers), Complex Network Analysis Techniques (25 papers), IoT and Edge/Fog Computing (18 papers), Blockchain Technology Applications and Security (18 papers), Caching and Content Delivery (17 papers), Privacy-Preserving Technologies in Data (15 papers), Indoor and Outdoor Localization Technologies (15 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (647 citations), Signal Processing (247 citations), Artificial Intelligence (649 citations) and Electrical and Electronic Engineering (984 citations). Wu Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jun Wu, Jianhua Li, Dapeng Man, Jiguang Lv, Xi Lin, Ali Kashif Bashir, Xiaofei Zhang, Jin Ma, Xiaojiang Du and Shichang Xuan. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and Computer 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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