Ruijie Wang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Statistical and Nonlinear Physics
- Management Science and Operations Research
- Co-authors
- Yuchen YanJialu WangYe ZhangWeinan ZhangYuting JiaXinbing WangTarek AbdelzaherLiming Chen
- Topics
- Topic Modeling (9 papers)Advanced Graph Neural Networks (9 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Science Applications
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ruijie Wang
31 papers receiving 282 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 102
- Information Systems 34
- Statistical and Nonlinear Physics 30
- Management Science and Operations Research 21
Countries citing papers authored by Ruijie Wang
This map shows the geographic impact of Ruijie Wang'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 Ruijie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruijie Wang more than expected).
Fields of papers citing papers by Ruijie Wang
This network shows the impact of papers produced by Ruijie Wang. 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 Ruijie Wang. The network helps show where Ruijie Wang may publish in the future.
Co-authorship network of co-authors of Ruijie Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruijie Wang. A scholar is included among the top collaborators of Ruijie Wang 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 Ruijie Wang. Ruijie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | Facial Expressing Recognition Based Research on Intelligent Network Teaching System | 2 |
About Ruijie Wang
Ruijie Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 34 papers that have together received 290 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Advanced Graph Neural Networks (9 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (102 citations), Artificial Intelligence (137 citations) and Computer Science Applications (15 citations). Ruijie Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuchen Yan, Jialu Wang, Ye Zhang, Weinan Zhang, Yuting Jia, Xinbing Wang, Tarek Abdelzaher, Liming Chen, Liang Qin and Shengzhong Liu. Their work appears in journals such as Sensors, RSC Advances and Frontiers in Psychology.
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.