Dan Zhang
- Control and Systems Engineering top 0.2%
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 2%
- Topics
- Stability and Control of Uncertain Systems (72 papers)Neural Networks Stability and Synchronization (42 papers)Adaptive Control of Nonlinear Systems (35 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Journals
- Advanced MaterialsThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Dan Zhang
217 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Control and Systems Engineering 2.6k
- Computer Networks and Communications 1.8k
- Electrical and Electronic Engineering 687
- Artificial Intelligence 604
- Statistical and Nonlinear Physics 335
Countries citing papers authored by Dan Zhang
This map shows the geographic impact of Dan Zhang'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 Dan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Zhang more than expected).
Fields of papers citing papers by Dan Zhang
This network shows the impact of papers produced by Dan Zhang. 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 Dan Zhang. The network helps show where Dan Zhang may publish in the future.
Co-authorship network of co-authors of Dan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Zhang. A scholar is included among the top collaborators of Dan Zhang 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 Dan Zhang. Dan Zhang 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 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 43 | |
| 15 | 25 | |
| 16 | 22 | |
| 17 | 36 | |
| 18 | 141 | |
| 19 | 125 | |
| 20 | 3 |
About Dan Zhang
Dan Zhang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 250 papers that have together received 4.3k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (72 papers), Neural Networks Stability and Synchronization (42 papers) and Adaptive Control of Nonlinear Systems (35 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Computer Networks and Communications (1.8k citations) and Statistical and Nonlinear Physics (335 citations). Dan Zhang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Li Yu, Qing‐Guo Wang, Jun Cheng, Zheng‐Guang Wu, Yongyi Chen, Huaicheng Yan, Zheng‐Guang Wu, Zehua Ye, Chao Deng and Gang Feng. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.