Dongsheng Guo
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 5%
- Mechanical Engineering top 10%
- Topics
- Robotic Mechanisms and Dynamics (52 papers)Neural Networks and Applications (34 papers)Adaptive Control of Nonlinear Systems (24 papers)
- Cited by
- Control and Systems EngineeringComputational MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEnergy Economics
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dongsheng Guo
103 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 110
- Control and Systems Engineering 1.6k
- Artificial Intelligence 744
- Computer Vision and Pattern Recognition 475
- Statistical and Nonlinear Physics 200
- Mechanical Engineering 181
Countries citing papers authored by Dongsheng Guo
This map shows the geographic impact of Dongsheng 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 Dongsheng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Guo more than expected).
Fields of papers citing papers by Dongsheng Guo
This network shows the impact of papers produced by Dongsheng 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 Dongsheng Guo. The network helps show where Dongsheng Guo may publish in the future.
Co-authorship network of co-authors of Dongsheng Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Guo. A scholar is included among the top collaborators of Dongsheng 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 Dongsheng Guo. Dongsheng 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 | 2 | |
| 3 | 0 | |
| 4 | 51 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 34 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 107 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 36 | |
| 17 | Bi-criteria torque minimization of redundant robots performing different end-effector trajectories by using simplified LVI-PDNN | 1 |
| 18 | Weights and structure determination method of multiple-input Sigmoid activation function neural network | 7 |
| 19 | 2 | |
| 20 | 1 |
About Dongsheng Guo
Dongsheng Guo is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (52 papers), Neural Networks and Applications (34 papers) and Adaptive Control of Nonlinear Systems (24 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Computational Mathematics (23 citations) and Computer Vision and Pattern Recognition (475 citations). Dongsheng Guo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yunong Zhang, Zhuo‐Yun Nie, Laicheng Yan, Feng Xu, Bolin Liao, Long Jin, Zexin Li, Lin Xiao, Yonghua Yin and Chenfu Yi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Energy Economics.
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.