Suo Gao
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Uğur ErkanAbdurrahim ToktaşRui WuHerbert Ho‐Ching IuÖmer KoçakChunpeng WangQi LiXianglong Tang
- Topics
- Chaos-based Image/Signal Encryption (16 papers)Advanced Steganography and Watermarking Techniques (9 papers)Chaos control and synchronization (3 papers)
In The Last Decade
Suo Gao
16 papers receiving 684 citations
Hit Papers
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 539
- Statistical and Nonlinear Physics 183
- Artificial Intelligence 151
- Computational Theory and Mathematics 102
- Electrical and Electronic Engineering 85
Countries citing papers authored by Suo Gao
This map shows the geographic impact of Suo Gao'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 Suo Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suo Gao more than expected).
Fields of papers citing papers by Suo Gao
This network shows the impact of papers produced by Suo Gao. 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 Suo Gao. The network helps show where Suo Gao may publish in the future.
Co-authorship network of co-authors of Suo Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Suo Gao. A scholar is included among the top collaborators of Suo Gao 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 Suo Gao. Suo Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Encrypt a Story: A Video Segment Encryption Method Based on the Discrete Sinusoidal Memristive Rulkov Neuronbreakdown → | 19 |
| 4 | A 3D Memristive Cubic Map With Dual Discrete Memristors: Design, Implementation, and Application in Image Encryptionbreakdown → | 57 |
| 5 | A Parallel Color Image Encryption Algorithm Based on a 2-D Logistic-Rulkov Neuron Mapbreakdown → | 51 |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 43 | |
| 9 | 19 | |
| 10 | Development of a video encryption algorithm for critical areas using 2D extended Schaffer function map and neural networksbreakdown → | 45 |
| 11 | Design, Hardware Implementation, and Application in Video Encryption of the 2-D Memristive Cubic Mapbreakdown → | 63 |
| 12 | 6 | |
| 13 | 32 | |
| 14 | 54 | |
| 15 | 15 | |
| 16 | 75 | |
| 17 | PSO-based image encryption scheme using modular integrated logistic exponential mapbreakdown → | 137 |
| 18 | 66 |
About Suo Gao
Suo Gao is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 18 papers that have together received 696 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (16 papers), Advanced Steganography and Watermarking Techniques (9 papers) and Chaos control and synchronization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (539 citations), Statistical and Nonlinear Physics (183 citations) and Mathematical Physics (72 citations). Suo Gao has collaborated with scholars based in China, Türkiye and Australia. Frequent co-authors include Uğur Erkan, Abdurrahim Toktaş, Rui Wu, Herbert Ho‐Ching Iu, Ömer Koçak, Chunpeng Wang, Qi Li, Xianglong Tang, Xianglong Tang and Jun Mou. Their work appears in journals such as Expert Systems with Applications, Neurocomputing and IEEE Internet of Things Journal.
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.