Yuting He
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
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- Industrial Vision Systems and Defect Detection
Papers in
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- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 1
- Image and Signal Denoising Methods 1
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- VLSI and Analog Circuit Testing 1
- Network Packet Processing and Optimization 1
- Co-authors
- Guanyu Yang (1 shared paper)Xiaoming Qi (1 shared paper)Yaolei Qi (1 shared paper)Yuan Zhang (1 shared paper)Lixu Gu (1 shared paper)Yajun Ha (2 shared papers)Heng Yu (3 shared papers)Tianxiang Cui (1 shared paper)
- Journals
- IEEE Transactions on Computers (1 paper)ACM Transactions on Design Automation of Electronic Systems (1 paper)IEEE Transactions on Image Processing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Yuting He
5 papers receiving 291 citations
Yuting He's Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 135
- Industrial and Manufacturing Engineering 46
- Media Technology 32
- Radiology, Nuclear Medicine and Imaging 46
- Ocean Engineering 31
Countries citing papers authored by Yuting He
This map shows the geographic impact of Yuting He'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 Yuting He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting He more than expected).
Fields of papers citing papers by Yuting He
This network shows the impact of papers produced by Yuting He. 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 Yuting He. The network helps show where Yuting He may publish in the future.
Co-authors
The 15 scholars most cited alongside Yuting He, 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 | Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation Hit paper breakdown → | 2023 | 281 |
| 2 | 2024 | 7 | |
| 3 | 2011 | 3 | |
| 4 | 2002 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 |
About Yuting He
Yuting He is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics, having authored 6 papers that have together received 293 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper), VLSI and FPGA Design Techniques (1 paper), VLSI and Analog Circuit Testing (1 paper), Medical Image Segmentation Techniques (1 paper), Image and Signal Denoising Methods (1 paper), Network Packet Processing and Optimization (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Industrial and Manufacturing Engineering (46 citations), Media Technology (32 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Ocean Engineering (31 citations). Yuting He has collaborated with scholars based in China, Malaysia and Singapore. Frequent co-authors include Guanyu Yang, Xiaoming Qi, Yaolei Qi, Yuan Zhang, Lixu Gu, Yajun Ha, Heng Yu, Tianxiang Cui, Ender Özcan and Hamid Krim. Their work appears in journals such as IEEE Transactions on Computers, ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Image Processing and Proceedings of the AAAI Conference on Artificial Intelligence.
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.