Yün Peng
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- James A. ReggiaHuawei ZhaoJianliang XuByron ChoiMichael R. LyuCuiyun GaoChaozheng WangYuanhang Yang
- Topics
- Graph Theory and Algorithms (7 papers)Data Management and Algorithms (7 papers)Advanced Graph Neural Networks (6 papers)
In The Last Decade
Yün Peng
42 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 457
- Information Systems 354
- Computer Networks and Communications 233
- Computer Vision and Pattern Recognition 119
- Computational Theory and Mathematics 98
Countries citing papers authored by Yün Peng
This map shows the geographic impact of Yün 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 Yün Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yün Peng more than expected).
Fields of papers citing papers by Yün Peng
This network shows the impact of papers produced by Yün 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 Yün Peng. The network helps show where Yün Peng may publish in the future.
Co-authorship network of co-authors of Yün Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Yün Peng. A scholar is included among the top collaborators of Yün 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 Yün Peng. Yün 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 | 2 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | No more fine-tuning? an experimental evaluation of prompt tuning in code intelligencebreakdown → | 103 |
| 14 | 2 | |
| 15 | 83 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 9 | |
| 19 | 21 | |
| 20 | 1 |
About Yün Peng
Yün Peng is a scholar working on Fuel Technology, Signal Processing and Artificial Intelligence, having authored 46 papers that have together received 948 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (7 papers), Data Management and Algorithms (7 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Software (78 citations), Information Systems (354 citations) and Artificial Intelligence (457 citations). Yün Peng has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include James A. Reggia, Huawei Zhao, Jianliang Xu, Byron Choi, Michael R. Lyu, Cuiyun Gao, Chaozheng Wang, Yuanhang Yang, Yong Zhang and Hongyu Zhang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Future Generation Computer Systems and IEEE Transactions on Mobile Computing.
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.