Jun Wu

4.9k citations
237 papers · 3.3k · 3 hit papers · h-index 26

Impact in

Papers in

Jun Wu

217 papers receiving 3.3k citations

Jun Wu's Hit Papers

Personalized Federated Learning With Differential Privacy and Convergence Guarantee 2023 · 112 citations
1120+3+7Years since publication100200300400

Peers

Jun Wu
Comparison fields: 5 of 120
  • Computer Networks and Communications 1.0k
  • Computer Vision and Pattern Recognition 860
  • Electrical and Electronic Engineering 1.5k
  • Signal Processing 283
  • Artificial Intelligence 740
Replace Li Erran Li with:
Li Erran Li United States
Gexiang Zhang China
Hong Wen China
Miroslav Vozn̆ák Czechia
Wenyu Qu China
Lijun Qian United States
Joongheon Kim South Korea
Zhongfeng Wang China
Zoran Salčić New Zealand
Jun Wu relative to Li Erran Li United States Li Erran Li's profile →
Citations per field
00.5×1.5×2.2×
Li Erran Li · 1×
Citations per year

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation
Hit paper breakdown →
2019404
2
Cloud radio access network (C-RAN): a primer
Hit paper breakdown →
2015365
3 2016143
4
Personalized Federated Learning With Differential Privacy and Convergence Guarantee
Hit paper breakdown →
2023112
5 202086
6 201983
7 202181
8 202173
9 201570
10 202063
11 202062
12 201360
13 201555
14 201954
15 201650
16 201244
17 201742
18 201840
19 202037
20 202137

About Jun Wu

Jun Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 237 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (28 papers), Advanced MIMO Systems Optimization (23 papers), Video Coding and Compression Technologies (20 papers), Advanced Wireless Communication Technologies (17 papers), Advanced Wireless Communication Techniques (17 papers), Parallel Computing and Optimization Techniques (14 papers), Image and Video Quality Assessment (14 papers) and Embedded Systems Design Techniques (13 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Computer Vision and Pattern Recognition (860 citations), Electrical and Electronic Engineering (1.5k citations), Signal Processing (283 citations) and Artificial Intelligence (740 citations). Jun Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lingxi Xie, Qi Tian, Xin Chen, Yonggang Wen, Zhifeng Zhang, Rui Wang, Hong Yu, Die Hu, Qingwen Liu and Cairong Zhao. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters and IEEE Transactions on Multimedia.

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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