Miao Yin
- Computational Mathematics top 2%
- Tensor decomposition and applications 9
- Health Informatics top 10%
- Geophysics top 10%
- Seismic Imaging and Inversion Techniques 2
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- Advanced Neural Network Applications 7
- Human Pose and Action Recognition 3
- Advanced Data Compression Techniques 2
- Ocean Engineering top 10%
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- Parallel Computing and Optimization Techniques 2
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- Computational Physics and Python Applications 2
- Algorithms and Data Compression 2
- Journals
- Frontiers in Oncology (1 paper)Geophysics (1 paper)Journal of the Operational Research Society (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Miao Yin
18 papers receiving 358 citations
Peers
Comparison fields: 5 of 64
- Computational Mathematics 47
- Health Informatics 13
- Geophysics 114
- Computer Vision and Pattern Recognition 108
- Ocean Engineering 74
Countries citing papers authored by Miao Yin
This map shows the geographic impact of Miao Yin'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 Miao Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Yin more than expected).
Fields of papers citing papers by Miao Yin
This network shows the impact of papers produced by Miao Yin. 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 Miao Yin. The network helps show where Miao Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miao Yin, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 46 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 7 | |
| 14 | Algorithm and Hardware Co-Design Co-Optimization Framework for LSTM Accelerator using Fully Decomposed Tensor Train | 2021 | 1 |
| 15 | 2021 | 53 | |
| 16 | 2020 | 27 | |
| 17 | 2019 | 5 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 132 |
About Miao Yin
Miao Yin is a scholar working on Computational Mathematics, Health Informatics, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 19 papers that have together received 372 indexed citations. Recurring topics across this work include Tensor decomposition and applications (9 papers), Advanced Neural Network Applications (7 papers), Human Pose and Action Recognition (3 papers), Seismic Imaging and Inversion Techniques (2 papers), Advanced Data Compression Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Computational Physics and Python Applications (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Computational Mathematics (47 citations), Health Informatics (13 citations), Geophysics (114 citations), Computer Vision and Pattern Recognition (108 citations) and Ocean Engineering (74 citations). Miao Yin has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Xiao-Yang Liu, Bo Yuan, Feng Qian, Siyu Liao, Guangmin Hu, Cai Lu, Yaojun Wang, Xiaodong Wang, Bo Yuan and Gang Kou. Their work appears in journals such as Frontiers in Oncology, Geophysics, Journal of the Operational Research Society, Internet of Things and IEEE Transactions on Neural Networks and Learning Systems.
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.