Peilin Zhong
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics
- Computational Mechanics
- Topics
- Sparse and Compressive Sensing Techniques (6 papers)Stochastic Gradient Optimization Techniques (6 papers)Complexity and Algorithms in Graphs (4 papers)
- Journals
- Dianzi xuebaoJOURNAL OF ELECTRONICS INFORMATION TECHNOLOGYarXiv (Cornell University)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Peilin Zhong
21 papers receiving 326 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 173
- Computer Vision and Pattern Recognition 124
- Radiology, Nuclear Medicine and Imaging 88
- Computational Theory and Mathematics 30
- Computational Mechanics 27
Countries citing papers authored by Peilin Zhong
This map shows the geographic impact of Peilin Zhong'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 Peilin Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peilin Zhong more than expected).
Fields of papers citing papers by Peilin Zhong
This network shows the impact of papers produced by Peilin Zhong. 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 Peilin Zhong. The network helps show where Peilin Zhong may publish in the future.
Co-authorship network of co-authors of Peilin Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Peilin Zhong. A scholar is included among the top collaborators of Peilin Zhong 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 Peilin Zhong. Peilin Zhong 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 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | Planning with General Objective Functions: Going Beyond Total Rewards | 2 |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach | 5 |
| 11 | Resisting Adversarial Attacks by k-Winners-Take-All. | 3 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | BourGAN: Generative Networks with Metric Embeddings | 9 |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | Study on Optimal Cut Angle in 1D and 2D Passive Sensor Triangulation with Different Measure Errors | 1 |
About Peilin Zhong
Peilin Zhong is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence, having authored 26 papers that have together received 343 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (124 citations) and Artificial Intelligence (173 citations). Peilin Zhong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Maode Lai, Mo Tao, Qiwei Feng, Yan Xu, Eric Chang, David P. Woodruff, Christos Boutsidis, Zhao Song, Changxi Zheng and Chang Xiao. Their work appears in journals such as Dianzi xuebao, JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY and arXiv (Cornell University).
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.