Caixue Zhou

471 citations
31 papers · 372 · h-index 10

Impact in

Papers in

Caixue Zhou

31 papers receiving 357 citations

Peers

Caixue Zhou
Comparison fields: 5 of 27
  • Artificial Intelligence 226
  • Computer Vision and Pattern Recognition 117
  • Computer Networks and Communications 122
  • Information Systems 115
  • Computer Graphics and Computer-Aided Design 10
Replace Fuyou Miao with:
Fuyou Miao China
Wen‐Chung Kuo Taiwan
Huixian Li China
Anand Desai United States
Fanyu Kong China
Nasser Anssari United States
Hwansoo Han South Korea
Po-An Tsai United States
Yiyuan Luo China
R. Katti United States
Caixue Zhou relative to Fuyou Miao China Fuyou Miao's profile →
Citations per field
00.5×3.3×
Fuyou Miao · 1×
Citations per year

Countries citing papers authored by Caixue Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Caixue Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Caixue Zhou, 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 Caixue Zhou Line = papers co-authored together Caixue Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201781
2 201754
3 201240
4 201934
5 201624
6 201821
7 201818
8 201811
9 201610
10 20159
11 20188
12 20168
13 20226
14
A Provable Secure Identity-based Generalized Proxy Signcryption Scheme.
20186
15 20166
16 20165
17 20215
18 20175
19 20154
20 20153

About Caixue Zhou

Caixue Zhou is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 31 papers that have together received 372 indexed citations. Recurring topics across this work include Cryptography and Data Security (22 papers), Complexity and Algorithms in Graphs (11 papers), Cloud Data Security Solutions (9 papers), Advanced Steganography and Watermarking Techniques (5 papers), Privacy-Preserving Technologies in Data (5 papers), Digital Media Forensic Detection (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Authentication Protocols Security (2 papers). The work is most often cited by research in Artificial Intelligence (226 citations), Computer Vision and Pattern Recognition (117 citations), Computer Networks and Communications (122 citations), Information Systems (115 citations) and Computer Graphics and Computer-Aided Design (10 citations). Caixue Zhou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guangyong Gao, Xingming Sun, Xiwei Dong, Lihua Wang, Yue Zhang, Zongda Wu, Lifen Zhang, Ying Xia and Yun-Qing Shi. Their work appears in journals such as Information Sciences, IEEE Transactions on Information Forensics and Security, Tehnicki vjesnik - Technical Gazette, Designs Codes and Cryptography and International Journal of Foundations of Computer Science.

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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