Guang Chen
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics
- Media Technology
- Co-authors
- Jun GuoSi LiZhiqing LinWeijie BianYang ZhaoWeiran XuZhanyu MaXiaoxu Li
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (8 papers)Photonic and Optical Devices (6 papers)
- Journals
- IEEE AccessSensorsNeurocomputing
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Guang Chen
26 papers receiving 216 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 149
- Information Systems 79
- Computer Vision and Pattern Recognition 66
- Statistical and Nonlinear Physics 18
- Media Technology 15
Countries citing papers authored by Guang Chen
This map shows the geographic impact of Guang 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 Guang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Chen more than expected).
Fields of papers citing papers by Guang Chen
This network shows the impact of papers produced by Guang 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 Guang Chen. The network helps show where Guang Chen may publish in the future.
Co-authorship network of co-authors of Guang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Chen. A scholar is included among the top collaborators of Guang 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 Guang Chen. Guang 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 43 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | PRIS at TREC2012 Contextual Suggestion Track | 0 |
| 16 | PRIS at TREC 2010 Blog Track: Faceted Blog Distillation | 2 |
| 17 | PRIS at TREC 2010: Related Entity Finding Task of Entity Track | 3 |
| 18 | BUPT at TREC 2009: Entity Track | 4 |
| 19 | A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track | 3 |
| 20 | 5 |
About Guang Chen
Guang Chen is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 232 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Photonic and Optical Devices (6 papers). The work is most often cited by research in Artificial Intelligence (149 citations), Information Systems (79 citations) and Computer Vision and Pattern Recognition (66 citations). Guang Chen has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jun Guo, Si Li, Zhiqing Lin, Weijie Bian, Yang Zhao, Weiran Xu, Zhanyu Ma, Xiaoxu Li, Jen‐Tzung Chien and Weiran Xu. Their work appears in journals such as IEEE Access, Sensors and Neurocomputing.
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.