Xutan Peng
- Artificial Intelligence
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Molecular Biology
- Topics
- Topic Modeling (9 papers)Advanced Graph Neural Networks (8 papers)Data Quality and Management (3 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Xutan Peng
12 papers receiving 94 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 91
- Management Science and Operations Research 20
- Computer Vision and Pattern Recognition 10
- Statistical and Nonlinear Physics 8
- Molecular Biology 7
Countries citing papers authored by Xutan Peng
This map shows the geographic impact of Xutan Peng'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 Xutan Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xutan Peng more than expected).
Fields of papers citing papers by Xutan Peng
This network shows the impact of papers produced by Xutan Peng. 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 Xutan Peng. The network helps show where Xutan Peng may publish in the future.
Co-authorship network of co-authors of Xutan Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Xutan Peng. A scholar is included among the top collaborators of Xutan Peng 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 Xutan Peng. Xutan Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. | 2 |
About Xutan Peng
Xutan Peng is a scholar working on Artificial Intelligence, Management Science and Operations Research and Hardware and Architecture, having authored 13 papers that have together received 95 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Advanced Graph Neural Networks (8 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Artificial Intelligence (91 citations), Management Science and Operations Research (20 citations) and Health Informatics (1 citation). Xutan Peng has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Jianxin Li, Hao Peng, Chen Li, Lihong Wang, Mark Stevenson, Chenghua Lin, Shanghang Zhang, Guanyi Chen, Lifang He and Shu Guo. Their work appears in journals such as Neurocomputing, Neural Networks and Knowledge-Based 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.