Jiayuan Wang
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Signal Processing
- Co-authors
- Q. M. Jonathan WuLei CaoElke A. RundensteinerQingyang WangDi YangYanwei YuFarhad PourpanahLi Lv
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Image and Signal Denoising Methods (3 papers)Time Series Analysis and Forecasting (3 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jiayuan Wang
25 papers receiving 317 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 145
- Computer Networks and Communications 79
- Computer Vision and Pattern Recognition 76
- Biomedical Engineering 37
- Signal Processing 30
Countries citing papers authored by Jiayuan Wang
This map shows the geographic impact of Jiayuan 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 Jiayuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayuan Wang more than expected).
Fields of papers citing papers by Jiayuan Wang
This network shows the impact of papers produced by Jiayuan 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 Jiayuan Wang. The network helps show where Jiayuan Wang may publish in the future.
Co-authorship network of co-authors of Jiayuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiayuan Wang. A scholar is included among the top collaborators of Jiayuan 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 Jiayuan Wang. Jiayuan 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 26 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 29 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 36 | |
| 17 | 10 | |
| 18 | 84 | |
| 19 | 5 | |
| 20 | 3 |
About Jiayuan Wang
Jiayuan Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 30 papers that have together received 324 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Image and Signal Denoising Methods (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Artificial Intelligence (145 citations), Computer Vision and Pattern Recognition (76 citations) and Computer Networks and Communications (79 citations). Jiayuan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Q. M. Jonathan Wu, Lei Cao, Elke A. Rundensteiner, Qingyang Wang, Di Yang, Yanwei Yu, Farhad Pourpanah, Li Lv, Jia Zhao and Ning Zhang. Their work appears in journals such as Chemical Communications, Scientific Reports and IEEE Transactions on Vehicular Technology.
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.