Dong Yuan
- Computer Networks and Communications top 0.5%
- Information Systems top 0.2%
- Artificial Intelligence top 2%
- Information Systems and Management top 1%
- Electrical and Electronic Engineering top 10%
- Topics
- Cloud Computing and Resource Management (50 papers)Distributed and Parallel Computing Systems (30 papers)Scientific Computing and Data Management (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceChemical Engineering Journal
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Dong Yuan
184 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 123
- Computer Networks and Communications 1.9k
- Information Systems 1.7k
- Artificial Intelligence 578
- Information Systems and Management 441
- Electrical and Electronic Engineering 338
Countries citing papers authored by Dong Yuan
This map shows the geographic impact of Dong Yuan'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 Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Yuan more than expected).
Fields of papers citing papers by Dong Yuan
This network shows the impact of papers produced by Dong Yuan. 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 Yuan. The network helps show where Dong Yuan may publish in the future.
Co-authorship network of co-authors of Dong Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Dong Yuan. A scholar is included among the top collaborators of Dong Yuan 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 Yuan. Dong Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | Understanding Partial Multi-Label Learning via Mutual Information | 6 |
| 17 | 48 | |
| 18 | Nonlinearity Characteristics and Its Control Strategies of All-electric Tank Gun Control System | 2 |
| 19 | Apply Normalized Accessor Variety in Chinese Word Segmentation | 1 |
| 20 | Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing | 1 |
About Dong Yuan
Dong Yuan is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems, having authored 194 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (50 papers), Distributed and Parallel Computing Systems (30 papers) and Scientific Computing and Data Management (26 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Information Systems (1.7k citations) and Information Systems and Management (441 citations). Dong Yuan has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Yun Yang, Xiao Liu, Jinjun Chen, Wenhao Li, Wei Bao, Jiong Jin, Zhangjun Wu, Zhiwei Ni, Abubakar Sadiq Sani and Jianhua Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.