Kaimeng Chen

472 citations
18 papers · 301 · h-index 11

Impact in

Papers in

Kaimeng Chen

17 papers receiving 298 citations

Peers

Kaimeng Chen
Comparison fields: 5 of 36
  • Computer Vision and Pattern Recognition 281
  • Signal Processing 17
  • Computer Graphics and Computer-Aided Design 3
  • Biochemistry 5
  • Media Technology 6
Replace Youzhi Xiang with:
Youzhi Xiang China
Nan-I Wu Taiwan
Jun-Chou Chuang Taiwan
Rupali Bhardwaj India
Andreas Westfeld Germany
Zongyu Guo China
Wenguang He China
Lixin Luo China
Xinlu Gui China
Kaimeng Chen relative to Youzhi Xiang China Youzhi Xiang's profile →
Citations per field
00.5×
Youzhi Xiang · 1×
Citations per year

Countries citing papers authored by Kaimeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kaimeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Kaimeng 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 Kaimeng Chen Line = papers co-authored together Kaimeng Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2018101
2 201941
3 202121
4 202020
5 202219
6 201919
7 202016
8 202113
9 202211
10 202011
11 201910
12 20235
13 20215
14 20184
15 20242
16
Reversible Data Hiding Schemes in Encrypted Images Based on the Paillier Cryptosystem.
20202
17 20211
18 20250

About Kaimeng Chen

Kaimeng Chen is a scholar working on Computer Vision and Pattern Recognition, Pharmacology, Mathematical Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 18 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (17 papers), Chaos-based Image/Signal Encryption (17 papers), Digital Media Forensic Detection (14 papers), advanced mathematical theories (1 paper), Coffee research and impacts (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Cellular Automata and Applications (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Signal Processing (17 citations), Computer Graphics and Computer-Aided Design (3 citations), Biochemistry (5 citations) and Media Technology (6 citations). Kaimeng Chen has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Chin‐Chen Chang, Ching‐Chun Chang, Chang‐Tsun Li, Qingxiao Guan, Chih‐Cheng Chen, Nenghai Yu, Weiming Zhang, Caiying Zhang, Shaowei Weng and Xiao‐Zhu Xie. Their work appears in journals such as Journal of Visual Communication and Image Representation, IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters and Signal Processing.

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.

Explore authors with similar magnitude of impact