Peilun Li
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Management Information Systems
- Topics
- Blockchain Technology Applications and Security (8 papers)Distributed systems and fault tolerance (6 papers)Peer-to-Peer Network Technologies (3 papers)
- Journals
- Energy EconomicsIEEE Transactions on Parallel and Distributed SystemsIEEE Transactions on Dependable and Secure Computing
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Peilun Li
14 papers receiving 153 citations
Peers
Comparison fields: 5 of 36
- Information Systems 109
- Computer Networks and Communications 81
- Computer Vision and Pattern Recognition 28
- Artificial Intelligence 23
- Management Information Systems 13
Countries citing papers authored by Peilun Li
This map shows the geographic impact of Peilun Li'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 Peilun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peilun Li more than expected).
Fields of papers citing papers by Peilun Li
This network shows the impact of papers produced by Peilun Li. 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 Peilun Li. The network helps show where Peilun Li may publish in the future.
Co-authorship network of co-authors of Peilun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Peilun Li. A scholar is included among the top collaborators of Peilun Li 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 Peilun Li. Peilun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 23 | |
| 11 | A Decentralized Blockchain with High Throughput and Fast Confirmation | 51 |
| 12 | 15 | |
| 13 | 19 | |
| 14 | Spatio-temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking | 19 |
| 15 | Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption. | 5 |
| 16 | 2 | |
| 17 | 1 |
About Peilun Li
Peilun Li is a scholar working on Information Systems, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 160 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Distributed systems and fault tolerance (6 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Information Systems (109 citations), Computer Networks and Communications (81 citations) and Management Information Systems (13 citations). Peilun Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Fan Long, Wei Xu, Dong Zhou, Chenxing Li, Andrew Chi-Chih Yao, Zhe Yang, Raymond Cheng, Dawn Song, Jian Liu and N. Asokan. Their work appears in journals such as Energy Economics, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Dependable and Secure 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.