Jun Chen

7.6k citations
333 papers · 5.3k · 3 hit papers · h-index 34

Impact in

Papers in

Jun Chen

305 papers receiving 5.0k citations

Jun Chen's Hit Papers

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank 2023 · 188 citations
1880+2+4Years since publication250500750

Peers

Jun Chen
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 2.6k
  • Computer Networks and Communications 627
  • Artificial Intelligence 445
  • Electrical and Electronic Engineering 338
  • Signal Processing 40
Replace Deepa Kundur with:
Deepa Kundur Canada
Tao Xiang China
Shiguo Lian China
T. Roska Hungary
Kwok‐Wo Wong Hong Kong
Zhewei Yao United States
P. Rajesh Kumar India
Hao Jiang China
Hongxia Wang China
Gustavo A. De Veciana United States
Jun Chen relative to Deepa Kundur Canada Deepa Kundur's profile →
Citations per field
00.5×2×3×4.1×
Deepa Kundur · 1×
Citations per year

Countries citing papers authored by Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 333 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
Hit paper breakdown →
2019786
2
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
Hit paper breakdown →
2022242
3
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
Hit paper breakdown →
2023188
4 2021133
5 2021123
6 2019106
7 2019103
8 202299
9 201490
10 202176
11 202274
12 201061
13 202161
14 201460
15 202160
16 202260
17 201259
18 201959
19 201857
20 200656

About Jun Chen

Jun Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering, having authored 333 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (32 papers), Error Correcting Code Techniques (26 papers), Cooperative Communication and Network Coding (24 papers), Image Enhancement Techniques (17 papers), Advanced Image Processing Techniques (11 papers), Quantum Information and Cryptography (8 papers), Human Pose and Action Recognition (7 papers) and Radar Systems and Signal Processing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Computer Networks and Communications (627 citations), Artificial Intelligence (445 citations), Electrical and Electronic Engineering (338 citations) and Signal Processing (40 citations). Jun Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaohong Liu, Zhihao Shi, Yongrui Ma, Chao Tian, Keyan Wang, Huan Liu, Yaojie Liu, Xiaoming Liu, Jia Wang and Hua Sun. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Access, IEEE 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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