Jun Hui Wu

5.0k citations
237 papers · 3.5k · 3 hit papers · h-index 27

Impact in

Papers in

Jun Hui Wu

215 papers receiving 3.5k citations

Jun Hui Wu's Hit Papers

Personalized Federated Learning With Differential Privacy and Convergence Guarantee 2023 · 135 citations
1350+3+7Years since publication100200300400

Peers

Jun Hui Wu
Comparison fields: 5 of 115
  • Computer Networks and Communications 1.1k
  • Computer Vision and Pattern Recognition 895
  • Electrical and Electronic Engineering 1.6k
  • Signal Processing 297
  • Artificial Intelligence 767
Replace Li Erran Li with:
Li Erran Li United States
Gexiang Zhang China
Carlo Fischione Sweden
Miroslav Vozn̆ák Czechia
Wenyu Qu China
Bin Song China
Zhen Yang China
Francesco Restuccia United States
Swarun Kumar United States
Jun Hui Wu relative to Li Erran Li United States Li Erran Li's profile →
Citations per field
00.5×1.5×2.1×
Li Erran Li · 1×
Citations per year

Countries citing papers authored by Jun Hui Wu

Since Specialization
Citations

This map shows the geographic impact of Jun Hui 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 Hui 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 Hui Wu more than expected).

Fields of papers citing papers by Jun Hui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Hui 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 Hui Wu Line = papers co-authored together Jun Hui 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 →
2019415
2
Cloud radio access network (C-RAN): a primer
Hit paper breakdown →
2015379
3 2016145
4
Personalized Federated Learning With Differential Privacy and Convergence Guarantee
Hit paper breakdown →
2023135
5 201989
6 202089
7 202184
8 202180
9 201574
10 202066
11 202065
12 201360
13 201957
14 201555
15 201653
16 201245
17 201743
18 202140
19 201840
20 202039

About Jun Hui Wu

Jun Hui Wu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Hardware and Architecture, having authored 237 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (29 papers), Advanced MIMO Systems Optimization (23 papers), Video Coding and Compression Technologies (21 papers), Advanced Wireless Communication Techniques (18 papers), Advanced Wireless Communication Technologies (17 papers), Image and Video Quality Assessment (14 papers), Parallel Computing and Optimization Techniques (14 papers) and Error Correcting Code Techniques (13 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Vision and Pattern Recognition (895 citations), Electrical and Electronic Engineering (1.6k citations), Signal Processing (297 citations) and Artificial Intelligence (767 citations). Jun Hui Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lingxi Xie, Qi Chuan Tian, Xin Chen, Yonggang Wen, Zhifeng Zhang, Rui Wang, Hong Wu 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 Transactions on Multimedia and IEEE Wireless Communications Letters.

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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