Weiwei Wu

148 papers receiving 2.4k citations

Weiwei Wu's Hit Papers

Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing 2021 · 155 citations
1550+1+3Years since publication50100150

Peers

Weiwei Wu
Comparison fields: 5 of 139
  • Radiological and Ultrasound Technology 327
  • Computer Science Applications 250
  • Medical Laboratory Technology 49
  • Computer Networks and Communications 601
  • Building and Construction 337
Replace Tarek Hegazy with:
Tarek Hegazy Canada
Baicun Wang China
Lei Hou Australia
Chansik Park South Korea
Azad M. Madni United States
Jinwoo Kim South Korea
Subhas Chandra Misra India
Sachin Kumar India
Do‐Hyeun Kim South Korea
Shiyong Wang China
Weiwei Wu relative to Tarek Hegazy Canada Tarek Hegazy's profile →
Citations per field
00.5×3.6×
Tarek Hegazy · 1×
Citations per year

Countries citing papers authored by Weiwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009171
2 2016164
3
Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing
Hit paper breakdown →
2021155
4 2012127
5 201287
6 201084
7 201779
8 201678
9 201572
10 201171
11 201858
12 201755
13 201549
14 202246
15 201744
16 201842
17 200941
18 201939
19 202036
20 201335

About Weiwei Wu

Weiwei Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Science Applications and Information Systems, having authored 167 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (15 papers), Energy Harvesting in Wireless Networks (14 papers), Advanced MIMO Systems Optimization (14 papers), IoT and Edge/Fog Computing (13 papers), Transportation and Mobility Innovations (11 papers), Age of Information Optimization (10 papers), Auction Theory and Applications (10 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Radiological and Ultrasound Technology (327 citations), Computer Science Applications (250 citations), Medical Laboratory Technology (49 citations), Computer Networks and Communications (601 citations) and Building and Construction (337 citations). Weiwei Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiumin Wang, David A.S. Chew, Qiming Li, Huanjia Yang, Alistair Gibb, Junzhou Luo, Chau Yuen, Wanyuan Wang, Ning An and Pan Zhou. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Services 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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