Dongnan Liu
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Weidong CaiBin LiuYang SongChaoyi ZhangHeng HuangDonghao ZhangLauren J. O’DonnellChenyu Wang
- Topics
- Neural Networks Stability and Synchronization (10 papers)Stability and Control of Uncertain Systems (9 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurologyIEEE Transactions on Image Processing
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Dongnan Liu
46 papers receiving 358 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 138
- Radiology, Nuclear Medicine and Imaging 78
- Control and Systems Engineering 72
- Computer Networks and Communications 71
Countries citing papers authored by Dongnan Liu
This map shows the geographic impact of Dongnan Liu'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 Dongnan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongnan Liu more than expected).
Fields of papers citing papers by Dongnan Liu
This network shows the impact of papers produced by Dongnan Liu. 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 Dongnan Liu. The network helps show where Dongnan Liu may publish in the future.
Co-authorship network of co-authors of Dongnan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dongnan Liu. A scholar is included among the top collaborators of Dongnan Liu 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 Dongnan Liu. Dongnan Liu 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 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | Optimal control for switched systems with impulsive effects | 0 |
About Dongnan Liu
Dongnan Liu is a scholar working on Computational Mathematics, Structural Biology and Biophysics, having authored 55 papers that have together received 364 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (10 papers), Stability and Control of Uncertain Systems (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Artificial Intelligence (148 citations) and Biophysics (26 citations). Dongnan Liu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Weidong Cai, Bin Liu, Yang Song, Chaoyi Zhang, Heng Huang, Donghao Zhang, Lauren J. O’Donnell, Chenyu Wang, Michael Barnett and Zhijie Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and IEEE Transactions on Image Processing.
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.