Yinghong Cao
- Computer Vision and Pattern Recognition top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Topics
- Chaos-based Image/Signal Encryption (45 papers)Advanced Memory and Neural Computing (36 papers)stochastic dynamics and bifurcation (27 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Yinghong Cao
93 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 1.4k
- Statistical and Nonlinear Physics 1.1k
- Electrical and Electronic Engineering 668
- Artificial Intelligence 451
- Computer Networks and Communications 361
Countries citing papers authored by Yinghong Cao
This map shows the geographic impact of Yinghong Cao'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 Yinghong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinghong Cao more than expected).
Fields of papers citing papers by Yinghong Cao
This network shows the impact of papers produced by Yinghong Cao. 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 Yinghong Cao. The network helps show where Yinghong Cao may publish in the future.
Co-authorship network of co-authors of Yinghong Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Yinghong Cao. A scholar is included among the top collaborators of Yinghong Cao 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 Yinghong Cao. Yinghong Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Encrypt a Story: A Video Segment Encryption Method Based on the Discrete Sinusoidal Memristive Rulkov Neuronbreakdown → | 19 |
| 2 | 0 | |
| 3 | 2 | |
| 4 | A three-dimensional memristor-based hyperchaotic map for pseudorandom number generation and multi-image encryptionbreakdown → | 30 |
| 5 | A 3D Memristive Cubic Map With Dual Discrete Memristors: Design, Implementation, and Application in Image Encryptionbreakdown → | 57 |
| 6 | 0 | |
| 7 | A discrete Chialvo–Rulkov neuron network coupled with a novel memristor model: Design, Dynamical analysis, DSP implementation and its applicationbreakdown → | 68 |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 19 | |
| 11 | 14 | |
| 12 | 16 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 40 | |
| 16 | 21 | |
| 17 | 28 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 43 |
About Yinghong Cao
Yinghong Cao is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (45 papers), Advanced Memory and Neural Computing (36 papers) and stochastic dynamics and bifurcation (27 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Computer Vision and Pattern Recognition (1.4k citations) and Computational Theory and Mathematics (288 citations). Yinghong Cao has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Jun Mou, Santo Banerjee, Feifei Yang, Li Xiong, Huizhen Yan, Chenguang Ma, Haifan Xiang, Ying Zhou, Hadi Jahanshahi and Yuwen Sha. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.
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.