Jiazhong Chen

1.3k citations
75 papers · 976 indexed · h-index 13

Jiazhong Chen

67 papers receiving 954 citations

Peers

Jiazhong Chen
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 314
  • Control and Systems Engineering 267
  • Signal Processing 79
  • Condensed Matter Physics 73
  • Artificial Intelligence 196
Replace Diego B. Haddad with:
Diego B. Haddad Brazil
Wen Shen China
Ali Ahaitouf Morocco
Masanori Sugisaka Japan
Mingfu Li China
Y. B. Zhao China
Biswendu Chatterjee India
Partha Sarkar India
Kai Fang China
Jiazhong Chen relative to Diego B. Haddad Brazil Diego B. Haddad's profile →
Citations per field
00.5×3.7×
Diego B. Haddad · 1×
Citations per year

Countries citing papers authored by Jiazhong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiazhong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20240
4 20237
5 20231
6 20233
7 20230
8 20233
9 20238
10 20204
11 201931
12
BMNet: A Reconstructed Network for Lightweight Object Detection via Branch Merging.
20191
13 20192
14 201961
15 20177
16 20175
17 20178
18 20160
19 201311
20
A framework of scalar quantization multiwavelet transform for very low bit rate video coding.
20031

About Jiazhong Chen

Jiazhong Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sensory Systems, having authored 75 papers that have together received 976 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (14 papers), Video Surveillance and Tracking Methods (14 papers), Image and Video Quality Assessment (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Face recognition and analysis (9 papers), Image and Signal Denoising Methods (9 papers), Advanced Neural Network Applications (9 papers) and Advanced Data Compression Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Control and Systems Engineering (267 citations) and Signal Processing (79 citations). Jiazhong Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Ding, M. A. Subramanian, H. David Rosenfeld, Tao He, Hefei Ling, Jinxing Lin, Lijuan Wan, Guoping Jiang, Guo‐Ping Jiang and Yuxuan Shi. Their work appears in journals such as PLoS ONE, Chemistry of Materials and Inorganic Chemistry.

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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