Ya Su
Impact in
- Signal Processing top 1%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
Papers in
-
- 3D Printing in Biomedical Research 8
- Bone Tissue Engineering Materials 5
- Biomaterials 10
- Electrospun Nanofibers in Biomedical Applications 8
- Co-authors
- Dan Pei (6 shared papers)Youjian Zhao (5 shared papers)Rong Liu (1 shared paper)Wei Sun (1 shared paper)Chenhao Niu (1 shared paper)Min Zheng (6 shared papers)Zhigang Xie (6 shared papers)Xidao Wen (2 shared papers)
- Journals
- International Journal of Biological Macromolecules (7 papers)Biofabrication (4 papers)Talanta (2 papers)Soft Computing (2 papers)Aerospace Science and Technology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ya Su
55 papers receiving 2.3k citations
Ya Su's Hit Papers
Peers
Comparison fields: 5 of 149
- Signal Processing 712
- Artificial Intelligence 1.2k
- Computer Networks and Communications 777
- Biomedical Engineering 518
- Control and Systems Engineering 237
Countries citing papers authored by Ya Su
This map shows the geographic impact of Ya Su'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 Ya Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Su more than expected).
Fields of papers citing papers by Ya Su
This network shows the impact of papers produced by Ya Su. 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 Ya Su. The network helps show where Ya Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network Hit paper breakdown → | 2019 | 968 |
| 2 | Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding Hit paper breakdown → | 2021 | 244 |
| 3 | 2020 | 122 | |
| 4 | 2020 | 75 | |
| 5 | 2023 | 66 | |
| 6 | 2019 | 60 | |
| 7 | 2022 | 53 | |
| 8 | 2019 | 53 | |
| 9 | 2022 | 49 | |
| 10 | 2012 | 47 | |
| 11 | 2018 | 46 | |
| 12 | 2022 | 40 | |
| 13 | 2020 | 39 | |
| 14 | 2022 | 36 | |
| 15 | 2021 | 32 | |
| 16 | 2023 | 31 | |
| 17 | 2019 | 28 | |
| 18 | 2022 | 28 | |
| 19 | 2021 | 28 | |
| 20 | 2022 | 26 |
About Ya Su
Ya Su is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Materials Chemistry and Surgery, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), 3D Printing in Biomedical Research (8 papers), Carbon and Quantum Dots Applications (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Spacecraft Dynamics and Control (5 papers), Bone Tissue Engineering Materials (5 papers) and Nanocluster Synthesis and Applications (5 papers). The work is most often cited by research in Signal Processing (712 citations), Artificial Intelligence (1.2k citations), Computer Networks and Communications (777 citations), Biomedical Engineering (518 citations) and Control and Systems Engineering (237 citations). Ya Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dan Pei, Youjian Zhao, Rong Liu, Wei Sun, Chenhao Niu, Min Zheng, Zhigang Xie, Xidao Wen, Shi Liu and Jiaqi Han. Their work appears in journals such as International Journal of Biological Macromolecules, Biofabrication, Talanta, Soft Computing and Aerospace Science and 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.