Chunfeng Yuan
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Yihua HuangRong GuXiaoliang YangBing WangGangshan WuJingfan ChenQing LiWenqi Fan
- Topics
- Topic Modeling (14 papers)Graph Theory and Algorithms (12 papers)Advanced Graph Neural Networks (11 papers)
In The Last Decade
Chunfeng Yuan
53 papers receiving 497 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 306
- Information Systems 276
- Computer Networks and Communications 141
- Computer Vision and Pattern Recognition 107
- Signal Processing 59
Countries citing papers authored by Chunfeng Yuan
This map shows the geographic impact of Chunfeng 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 Chunfeng Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunfeng Yuan more than expected).
Fields of papers citing papers by Chunfeng Yuan
This network shows the impact of papers produced by Chunfeng 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 Chunfeng Yuan. The network helps show where Chunfeng Yuan may publish in the future.
Co-authorship network of co-authors of Chunfeng Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Chunfeng Yuan. A scholar is included among the top collaborators of Chunfeng 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 Chunfeng Yuan. Chunfeng 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 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 15 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | A Definition Extraction Algorithm Combining Hard Pattern Matching and Soft Pattern Matching | 1 |
| 15 | 11 | |
| 16 | Fast Triangle Mesh Surface Intersection Algorithm Based on Uniform Grid | 1 |
| 17 | Automatic recognizing of complex sentences with coordinating relation | 1 |
| 18 | Chinese Syntactic Parsing Algorithm Based on Segmentation of Punctuation | 3 |
| 19 | Ethical Considerations on the Information Dissymmetry between Medical Care Providers and Patients under the Background of Constructing a Harmonious Society | 1 |
| 20 | Overview of Technology of Building Domain Knowledge Based on Ontology | 2 |
About Chunfeng Yuan
Chunfeng Yuan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 517 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Graph Theory and Algorithms (12 papers) and Advanced Graph Neural Networks (11 papers). The work is most often cited by research in Information Systems (276 citations), Artificial Intelligence (306 citations) and Computer Networks and Communications (141 citations). Chunfeng Yuan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yihua Huang, Rong Gu, Xiaoliang Yang, Bing Wang, Gangshan Wu, Jingfan Chen, Qing Li, Wenqi Fan, Lei Jin and Chengfei Liu. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.
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.