Lei Yuan
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Aerospace Engineering
- Co-authors
- Yanxing LiMeixia WangYang YuChongjie ZhangJianhao WangChunhai GaoFuxiang ZhangKaicheng Li
- Topics
- Advanced Neural Network Applications (6 papers)Reinforcement Learning in Robotics (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Journals
- IEEE AccessIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaMalaysiaUnited Kingdom
In The Last Decade
Lei Yuan
46 papers receiving 286 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 85
- Computer Networks and Communications 63
- Computer Vision and Pattern Recognition 47
- Electrical and Electronic Engineering 47
- Aerospace Engineering 38
Countries citing papers authored by Lei Yuan
This map shows the geographic impact of Lei 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 Lei Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Yuan more than expected).
Fields of papers citing papers by Lei Yuan
This network shows the impact of papers produced by Lei 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 Lei Yuan. The network helps show where Lei Yuan may publish in the future.
Co-authorship network of co-authors of Lei Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Yuan. A scholar is included among the top collaborators of Lei 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 Lei Yuan. Lei 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 31 | |
| 16 | 7 | |
| 17 | Surface features' information extraction from SPOT images with object-oriented classification method | 1 |
| 18 | Analysis of Business Model Classfication Method | 2 |
| 19 | Reconstruction of Business Model Theory System | 5 |
| 20 | 2 |
About Lei Yuan
Lei Yuan is a scholar working on Software, Numerical Analysis and Artificial Intelligence, having authored 54 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Reinforcement Learning in Robotics (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Networks and Communications (63 citations), Artificial Intelligence (85 citations) and Software (10 citations). Lei Yuan has collaborated with scholars based in China, Malaysia and United Kingdom. Frequent co-authors include Yanxing Li, Meixia Wang, Yang Yu, Chongjie Zhang, Jianhao Wang, Chunhai Gao, Fuxiang Zhang, Kaicheng Li, Yu Liu and Shir Li Wang. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems 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.