Siya Yao
Impact in
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
-
- Multimodal Machine Learning Applications
Papers in
-
- Domain Adaptation and Few-Shot Learning 4
- Anomaly Detection Techniques and Applications 3
- Data Stream Mining Techniques 2
- Machine Learning and Data Classification 2
-
- Electricity Theft Detection Techniques 2
- Co-authors
- Qi Kang (11 shared papers)MengChu Zhou (10 shared papers)Abdullah Abusorrah (5 shared papers)Muhyaddin Rawa (2 shared papers)Aiiad Albeshri (1 shared paper)Yusuf Al‐Turki (1 shared paper)Xuesong Wang (1 shared paper)Xiaoyu Sean Lu (1 shared paper)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Cybernetics (1 paper)Artificial Intelligence Review (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Siya Yao
11 papers receiving 303 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 164
- Computer Vision and Pattern Recognition 74
- Control and Systems Engineering 60
- Computational Theory and Mathematics 32
- Health Informatics 2
Countries citing papers authored by Siya Yao
This map shows the geographic impact of Siya Yao'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 Siya Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siya Yao more than expected).
Fields of papers citing papers by Siya Yao
This network shows the impact of papers produced by Siya Yao. 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 Siya Yao. The network helps show where Siya Yao may publish in the future.
Co-authors
The 10 scholars most cited alongside Siya Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 82 | |
| 2 | 2022 | 72 | |
| 3 | 2020 | 52 | |
| 4 | 2020 | 38 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 8 | |
| 8 | 2019 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2024 | 0 |
About Siya Yao
Siya Yao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 304 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers), Electricity Theft Detection Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Photovoltaic System Optimization Techniques (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Data Stream Mining Techniques (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Computer Vision and Pattern Recognition (74 citations), Control and Systems Engineering (60 citations), Computational Theory and Mathematics (32 citations) and Health Informatics (2 citations). Siya Yao has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Qi Kang, MengChu Zhou, Abdullah Abusorrah, Muhyaddin Rawa, Aiiad Albeshri, Yusuf Al‐Turki, Xuesong Wang, Xiaoyu Sean Lu, Bo Huang and Jun Ma. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and Artificial Intelligence Review.
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.