Guilin Chen
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Aiguo WangShenghui ZhaoChih‐Yung ChangJing YangLi LiuNing AnHui TianLian Li
- Topics
- Context-Aware Activity Recognition Systems (14 papers)IoT and Edge/Fog Computing (6 papers)Speech Recognition and Synthesis (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Guilin Chen
41 papers receiving 595 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 352
- Computer Networks and Communications 212
- Artificial Intelligence 179
- Biomedical Engineering 144
- Electrical and Electronic Engineering 106
Countries citing papers authored by Guilin Chen
This map shows the geographic impact of Guilin Chen'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 Guilin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilin Chen more than expected).
Fields of papers citing papers by Guilin Chen
This network shows the impact of papers produced by Guilin Chen. 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 Guilin Chen. The network helps show where Guilin Chen may publish in the future.
Co-authorship network of co-authors of Guilin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guilin Chen. A scholar is included among the top collaborators of Guilin Chen 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 Guilin Chen. Guilin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 33 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 34 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 244 | |
| 16 | 33 | |
| 17 | Uncertain model of qualitative/quantitative information transformation——cloud model | 4 |
| 18 | Spatial transform in non-conventional ultra-high resolution image-carrying fiber bundles | 0 |
| 19 | The discussion of campus network resource share based on grid technology | 1 |
| 20 | 4 |
About Guilin Chen
Guilin Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Health Information Management, having authored 50 papers that have together received 613 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (6 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (352 citations), Computer Networks and Communications (212 citations) and Artificial Intelligence (179 citations). Guilin Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Aiguo Wang, Shenghui Zhao, Chih‐Yung Chang, Jing Yang, Li Liu, Ning An, Hui Tian, Lian Li, Xuzhen Zhu and Gil Alterovitz. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Sensors.
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.