Geng Zhao

1.7k total citations
87 papers, 1.2k citations indexed

About

Geng Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Geng Zhao has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Geng Zhao's work include Chaos-based Image/Signal Encryption (30 papers), Chaos control and synchronization (16 papers) and Cellular Automata and Applications (13 papers). Geng Zhao is often cited by papers focused on Chaos-based Image/Signal Encryption (30 papers), Chaos control and synchronization (16 papers) and Cellular Automata and Applications (13 papers). Geng Zhao collaborates with scholars based in China, Australia and Kuwait. Geng Zhao's co-authors include Xin Jin, David Taniar, Kefeng Xuan, Lequan Min, Bala Srinivasan, Maytham Safar, Wenny Rahayu, Shiming Ge, Xiaodong Li and Marina L. Gavrilova and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Geng Zhao

83 papers receiving 1.1k citations

Peers

Geng Zhao
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 653
  • Signal Processing 289
  • Computer Networks and Communications 259
  • Artificial Intelligence 233
  • Computational Theory and Mathematics 135
Replace Stefan Langerman with:
Stefan Langerman Belgium
Lihua Yue China
Benjamín Bustos Chile
P.W. Grant United Kingdom
Danhang Tang United States
Haoxuan You United States
Dorina Thanou Switzerland
Yoshinobu Kawahara Japan
Yanning Shen United States
Stefan Langerman Belgium View profile →
Citations per field, relative to Geng Zhao
Geng Zhao · 1×
Citations per year, relative to Geng Zhao
Geng Zhao · 1×

Countries citing papers authored by Geng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Geng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Zhao. A scholar is included among the top collaborators of Geng Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geng Zhao. Geng Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 3
3 2
4 2
5 11
6 3
7 9
8 19
9 10
10 7
11 2
12 13
13 1
14 1
15 39
16
Pseudorandom Number Generator Method Based on CNNs Circuit Model
1
17
LookAhead continuous KNN mobile query processing
8
18
Partial generalized synchronization theorems of differential and discrete systems
3
19 4
20
Synchronization of Digital Chaos in Secure Communication Systems
2

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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