Sheng-Uei Guan
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Topics
- Neural Networks and Applications (26 papers)Face and Expression Recognition (22 papers)Metaheuristic Optimization Algorithms Research (14 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Sheng-Uei Guan
110 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 640
- Computer Vision and Pattern Recognition 326
- Computer Networks and Communications 185
- Computational Theory and Mathematics 181
- Electrical and Electronic Engineering 139
Countries citing papers authored by Sheng-Uei Guan
This map shows the geographic impact of Sheng-Uei Guan'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 Sheng-Uei Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Uei Guan more than expected).
Fields of papers citing papers by Sheng-Uei Guan
This network shows the impact of papers produced by Sheng-Uei Guan. 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 Sheng-Uei Guan. The network helps show where Sheng-Uei Guan may publish in the future.
Co-authorship network of co-authors of Sheng-Uei Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Uei Guan. A scholar is included among the top collaborators of Sheng-Uei Guan 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 Sheng-Uei Guan. Sheng-Uei Guan 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 31 | |
| 8 | Integrated feature preprocessing for classification based on neural incremental attribute learning | 1 |
| 9 | Monocular line tracking for the reduction of vibration induced during image acquisition | 7 |
| 10 | 2 | |
| 11 | 47 | |
| 12 | 9 | |
| 13 | Neural Network Task Decomposition Based on Output Partitioning | 1 |
| 14 | Reduced Pattern Training in Pattern Distributor Networks | 5 |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 35 | |
| 18 | The design and implementation of a web-based personal digital library | 6 |
| 19 | 6 | |
| 20 | Intelligent mobile agents for E-commerce: security issues and agent transport | 8 |
About Sheng-Uei Guan
Sheng-Uei Guan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 117 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (26 papers), Face and Expression Recognition (22 papers) and Metaheuristic Optimization Algorithms Research (14 papers). The work is most often cited by research in Artificial Intelligence (640 citations), Computer Vision and Pattern Recognition (326 citations) and Computational Theory and Mathematics (181 citations). Sheng-Uei Guan has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Ka Lok Man, T. O. Ting, Prudence W. H. Wong, Jieming Ma, Shu Zhang, Qian Chen, Jun Liu, Yuxuan Zhao, Jeremy S. Smith and Jun Liu. Their work appears in journals such as IEEE Communications Magazine, Renewable Energy and IEEE Transactions on Evolutionary Computation.
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.