Dong Xie
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Data Management and Algorithms (9 papers)Advanced Database Systems and Queries (7 papers)Advanced Data Storage Technologies (7 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Knowledge and Data EngineeringApplied Mathematical Modelling
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dong Xie
33 papers receiving 492 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 262
- Computer Networks and Communications 217
- Artificial Intelligence 144
- Information Systems 136
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Dong Xie
This map shows the geographic impact of Dong Xie'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 Dong Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Xie more than expected).
Fields of papers citing papers by Dong Xie
This network shows the impact of papers produced by Dong Xie. 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 Dong Xie. The network helps show where Dong Xie may publish in the future.
Co-authorship network of co-authors of Dong Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Dong Xie. A scholar is included among the top collaborators of Dong Xie 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 Dong Xie. Dong Xie 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 | 8 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | Solar: towards a shared-everything database on distributed log-structured storage | 6 |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | A new kernel-based clustering algorithm for the multi-machine equivalent of large power systems | 1 |
About Dong Xie
Dong Xie is a scholar working on Energy Engineering and Power Technology, General Energy and Signal Processing, having authored 39 papers that have together received 500 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Signal Processing (262 citations), Geography, Planning and Development (54 citations) and Computer Networks and Communications (217 citations). Dong Xie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feifei Li, Jeff M. Phillips, Bin Yao, Minyi Guo, Gefei Li, Liang Zhou, Ryan Stutsman, Tian Zhang, Li Fei-Fei and Sheng Wang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Knowledge and Data Engineering and Applied Mathematical Modelling.
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.