Ying Guo
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Co-authors
- A R MilehamGeraint OwenShenghong LiQilian LiangBo ZhangXianbo XiangGuohua XuChangsheng Zhang
- Topics
- Optimization and Search Problems (11 papers)Machine Learning and Algorithms (9 papers)Adaptive Control of Nonlinear Systems (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Ying Guo
59 papers receiving 526 citations
Peers
Comparison fields: 5 of 75
- Industrial and Manufacturing Engineering 248
- Artificial Intelligence 107
- Electrical and Electronic Engineering 102
- Computer Networks and Communications 93
- Control and Systems Engineering 77
Countries citing papers authored by Ying Guo
This map shows the geographic impact of Ying 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 Ying Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Guo more than expected).
Fields of papers citing papers by Ying Guo
This network shows the impact of papers produced by Ying 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 Ying Guo. The network helps show where Ying Guo may publish in the future.
Co-authorship network of co-authors of Ying Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Guo. A scholar is included among the top collaborators of Ying Guo 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 Ying Guo. Ying Guo 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 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | Digital Quadrature Sampling of IF Signal and its FPGA Implementation | 1 |
| 16 | A new motion control scheme for underwater vehicle-manipulator systems | 1 |
| 17 | Flocking with target-tracking using novel artificial potentials in a dynamic environment | 1 |
| 18 | Self-adjustable Grey Predictive PID Controller | 2 |
| 19 | 2 | |
| 20 | Application of continuous fuzzy control method in semiactive suspension system | 2 |
About Ying Guo
Ying Guo is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and General Engineering, having authored 65 papers that have together received 545 indexed citations. Recurring topics across this work include Optimization and Search Problems (11 papers), Machine Learning and Algorithms (9 papers) and Adaptive Control of Nonlinear Systems (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (248 citations), Computer Networks and Communications (93 citations) and Artificial Intelligence (107 citations). Ying Guo has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include A R Mileham, Geraint Owen, Shenghong Li, Qilian Liang, Bo Zhang, Xianbo Xiang, Guohua Xu, Changsheng Zhang, Weidong Li and Liang Gao. Their work appears in journals such as Sensors, IEEE Transactions on Cybernetics and Neurocomputing.
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.