Dongsheng Li
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Topics
- Topic Modeling (45 papers)Caching and Content Delivery (35 papers)Advanced Neural Network Applications (33 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dongsheng Li
293 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 995
- Computer Networks and Communications 830
- Information Systems 744
- Electrical and Electronic Engineering 416
Countries citing papers authored by Dongsheng Li
This map shows the geographic impact of Dongsheng Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Li more than expected).
Fields of papers citing papers by Dongsheng Li
This network shows the impact of papers produced by Dongsheng Li. 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 Li. The network helps show where Dongsheng Li may publish in the future.
Co-authorship network of co-authors of Dongsheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Li. A scholar is included among the top collaborators of Dongsheng Li 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 Li. Dongsheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 34 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 16 | |
| 15 | 27 | |
| 16 | NENN: Incorporate Node and Edge Features in Graph Neural Networks | 12 |
| 17 | 19 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | Study on Characteristics of Genetic Algorithms and Its Application to Optimize Reloading Pattern Problem | 1 |
About Dongsheng Li
Dongsheng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 336 papers that have together received 4.5k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Caching and Content Delivery (35 papers) and Advanced Neural Network Applications (33 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (995 citations) and Computer Networks and Communications (830 citations). Dongsheng Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Sun, Xicheng Lu, Linbo Qiao, Yiming Zhang, Bao Wang, Zhaoning Zhang, Zhigang Kan, Yong Dou, Dawei Feng and Ke Yang. Their work appears in journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.