Cheng Guo

2.4k citations
126 papers · 1.9k indexed · h-index 25

Cheng Guo

121 papers receiving 1.8k citations

Peers

Cheng Guo
Comparison fields: 5 of 132
  • Information Systems 526
  • Computer Vision and Pattern Recognition 455
  • Artificial Intelligence 685
  • Computer Networks and Communications 487
  • Biomaterials 187
Replace Yanmin Gong with:
Yanmin Gong United States
Shan Chang China
Xin Sui China
Chih-Yu Wang Taiwan
Zhenni Li China
Xinming Zhang China
Junxue Zhang China
Cong Zhang China
Yao Sun China
Cheng Guo relative to Yanmin Gong United States Yanmin Gong's profile →
Citations per field
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Yanmin Gong · 1×
Citations per year

Countries citing papers authored by Cheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20237
5 20236
6 202319
7 20232
8 20228
9 201919
10 201918
11 201832
12 20170
13
A Novel Proactive Multi-secret Sharing Scheme.
20153
14
A Novel Threshold Conference-Key Agreement Protocol Based on Generalized Chinese Remainder Theorem
20153
15
Application and measurement of underwater acoustic reciprocity transfer functions with impulse sound sources
20152
16
A Construction for Secret Sharing Scheme with General Access Structure.
201315
17 20121
18
A New Method of Multi-Temporal Remote Sensing Images Storage Management
20100
19 200328
20 199822

About Cheng Guo

Cheng Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 126 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cryptography and Data Security (51 papers), Privacy-Preserving Technologies in Data (26 papers), Chaos-based Image/Signal Encryption (24 papers), Advanced Steganography and Watermarking Techniques (17 papers), Cloud Data Security Solutions (12 papers), Energy Efficient Wireless Sensor Networks (9 papers), Mobile Ad Hoc Networks (8 papers) and Complexity and Algorithms in Graphs (7 papers). The work is most often cited by research in Information Systems (526 citations), Computer Vision and Pattern Recognition (455 citations) and Artificial Intelligence (685 citations). Cheng Guo has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Chin‐Chen Chang, Kim‐Kwang Raymond Choo, Yingmo Jie, Mingchu Li, Chuan Qin, Xinyu Tang, Y. Z. Wan, Y. L. Wang, Xing Jin and Yizhi Ren. Their work appears in journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

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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