Dongsheng Luo
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Topics
- Advanced Graph Neural Networks (10 papers)Complex Network Analysis Techniques (9 papers)Explainable Artificial Intelligence (XAI) (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsChemical Engineering Journal
- Partner nations
- United StatesChinaGermany
In The Last Decade
Dongsheng Luo
34 papers receiving 508 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 326
- Statistical and Nonlinear Physics 135
- Information Systems 83
- Computer Vision and Pattern Recognition 81
- Computer Networks and Communications 60
Countries citing papers authored by Dongsheng Luo
This map shows the geographic impact of Dongsheng Luo'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 Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Luo more than expected).
Fields of papers citing papers by Dongsheng Luo
This network shows the impact of papers produced by Dongsheng Luo. 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 Luo. The network helps show where Dongsheng Luo may publish in the future.
Co-authorship network of co-authors of Dongsheng Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Luo. A scholar is included among the top collaborators of Dongsheng Luo 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 Luo. Dongsheng Luo 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 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 47 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | Learning to Drop: Robust Graph Neural Network via Topological Denoisingbreakdown → | 156 |
| 17 | 5 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | 10 |
About Dongsheng Luo
Dongsheng Luo is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Signal Processing, having authored 36 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (9 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (135 citations), Artificial Intelligence (326 citations) and Health Informatics (6 citations). Dongsheng Luo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Wei Cheng, X. D. Zhang, Jingchao Ni, Wenchao Yu, Bo Zong, Haifeng Chen, Dongkuan Xu, Xiao Liu, Yuchen Bian and Xiang Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Chemical Engineering Journal.
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.