Jiawei Yang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Control and Systems Engineering top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Susanto RahardjaPasi FräntiMarco PavoneYue WangXu TanYu ChenRadu Mariescu-IstodorGuojun Wang
- Topics
- Anomaly Detection Techniques and Applications (15 papers)Time Series Analysis and Forecasting (6 papers)Advanced Statistical Methods and Models (5 papers)
In The Last Decade
Jiawei Yang
31 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 133
- Signal Processing 78
- Control and Systems Engineering 71
- Computer Graphics and Computer-Aided Design 53
Countries citing papers authored by Jiawei Yang
This map shows the geographic impact of Jiawei Yang'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 Jiawei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiawei Yang more than expected).
Fields of papers citing papers by Jiawei Yang
This network shows the impact of papers produced by Jiawei Yang. 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 Jiawei Yang. The network helps show where Jiawei Yang may publish in the future.
Co-authorship network of co-authors of Jiawei Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiawei Yang. A scholar is included among the top collaborators of Jiawei Yang 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 Jiawei Yang. Jiawei Yang 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 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 34 | |
| 19 | 17 | |
| 20 | Effect of tetrahydropalmatine on expression of Cav1.2 in dorsal root ganglion neurons in mice with sciatic nerve chronic constriction injury | 4 |
About Jiawei Yang
Jiawei Yang is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability, having authored 36 papers that have together received 584 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (15 papers), Time Series Analysis and Forecasting (6 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (53 citations), Artificial Intelligence (261 citations) and Signal Processing (78 citations). Jiawei Yang has collaborated with scholars based in China, Finland and Singapore. Frequent co-authors include Susanto Rahardja, Pasi Fränti, Marco Pavone, Yue Wang, Xu Tan, Yu Chen, Radu Mariescu-Istodor, Guojun Wang, Shuhong Chen and Kun Wang. Their work appears in journals such as Journal of Power Sources, Journal of Hazardous Materials and International Journal of Hydrogen Energy.
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.