Xiaodong Cheng
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Co-authors
- Jacquelien M.A. ScherpenMichele CucuzzellaSebastian TripNing ZhouYuanqing XiaPaul M.J. Van den HofYu KawanoYan‐Jun Liu
- Topics
- Model Reduction and Neural Networks (19 papers)Control Systems and Identification (6 papers)Adaptive Control of Nonlinear Systems (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- NetherlandsChinaUnited Kingdom
In The Last Decade
Xiaodong Cheng
49 papers receiving 546 citations
Peers
Comparison fields: 5 of 90
- Control and Systems Engineering 255
- Electrical and Electronic Engineering 169
- Statistical and Nonlinear Physics 111
- Computer Networks and Communications 84
- Mechanical Engineering 66
Countries citing papers authored by Xiaodong Cheng
This map shows the geographic impact of Xiaodong Cheng'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 Xiaodong Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Cheng more than expected).
Fields of papers citing papers by Xiaodong Cheng
This network shows the impact of papers produced by Xiaodong Cheng. 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 Xiaodong Cheng. The network helps show where Xiaodong Cheng may publish in the future.
Co-authorship network of co-authors of Xiaodong Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Cheng. A scholar is included among the top collaborators of Xiaodong Cheng 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 Xiaodong Cheng. Xiaodong Cheng 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 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 42 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 23 | |
| 18 | 10 | |
| 19 | 11 | |
| 20 | 8 |
About Xiaodong Cheng
Xiaodong Cheng is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Numerical Analysis, having authored 56 papers that have together received 554 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (19 papers), Control Systems and Identification (6 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (255 citations), Statistical and Nonlinear Physics (111 citations) and Numerical Analysis (37 citations). Xiaodong Cheng has collaborated with scholars based in Netherlands, China and United Kingdom. Frequent co-authors include Jacquelien M.A. Scherpen, Michele Cucuzzella, Sebastian Trip, Ning Zhou, Yuanqing Xia, Paul M.J. Van den Hof, Yu Kawano, Yan‐Jun Liu, Wenchuan Guo and Bart Besselink. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.