Jing Chen

3.8k citations
286 papers · 2.7k · h-index 27

Impact in

    • Image and Video Quality Assessment
    • Image Enhancement Techniques
    • Advanced Neural Network Applications
    • Visual Attention and Saliency Detection
    • Video Surveillance and Tracking Methods
    • Advanced Image Fusion Techniques

Papers in

Jing Chen

258 papers receiving 2.6k citations

Peers

Jing Chen
Comparison fields: 5 of 147
  • Computer Vision and Pattern Recognition 1.2k
  • Media Technology 400
  • Industrial and Manufacturing Engineering 148
  • Artificial Intelligence 395
  • Signal Processing 124
Replace Wei Chen with:
Wei Chen China
Yang Cao China
Yu Liu China
Chaoyue Wang China
Antonia Creswell United Kingdom
Ding Liu China
Jing Tian China
Min Zhang China
Jun Zhang China
Zhixin Li China
Jing Chen relative to Wei Chen China Wei Chen's profile →
Citations per field
00.5×1.5×1.9×
Wei Chen · 1×
Citations per year

Countries citing papers authored by Jing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 286 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 2017143
3 201894
4 199293
5 202366
6 202160
7 201249
8 201846
9 202345
10 201743
11 202341
12 202041
13 201839
14 202138
15 202037
16 202136
17 201936
18 201135
19 201433
20 202332

About Jing Chen

Jing Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Civil and Structural Engineering, having authored 286 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (19 papers), Photonic and Optical Devices (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Advanced Fiber Optic Sensors (16 papers), Image and Video Quality Assessment (15 papers), Video Surveillance and Tracking Methods (13 papers), Advanced Algorithms and Applications (13 papers) and Image Enhancement Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (400 citations), Industrial and Manufacturing Engineering (148 citations), Artificial Intelligence (395 citations) and Signal Processing (124 citations). Jing Chen has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Huanqiang Zeng, Hao Jiang, Kai‐Kuang Ma, Xiren Miao, Xinyu Liu, Jianqing Zhu, Junhui Hou, Canhui Cai, Zhangkai Ni and Lin Ma. Their work appears in journals such as Sensors, IEEE Access, IEEE Transactions on Image Processing, Optics Express and Journal of Visual Communication and Image Representation.

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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