H. Yu
Impact in
-
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Particle physics theoretical and experimental studies 3
- Astrophysics and Cosmic Phenomena 2
- Neutrino Physics Research 2
- High-Energy Particle Collisions Research 2
- Dark Matter and Cosmic Phenomena 1
- Quantum Chromodynamics and Particle Interactions 1
- Particle Detector Development and Performance 1
- Co-authors
- D. Torbunov (2 shared papers)Meifeng Lin (3 shared papers)Yi Huang (1 shared paper)Shinjae Yoo (1 shared paper)Yihui Ren (2 shared papers)Jin Huang (1 shared paper)J. Huang (2 shared papers)A. D. Frawley (1 shared paper)
- Journals
- Journal of Instrumentation (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Physical review. C (1 paper)SHILAP Revista de lepidopterología (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
H. Yu
3 papers receiving 102 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 67
- Media Technology 14
- Health Informatics 2
- Computer Graphics and Computer-Aided Design 5
- Biophysics 5
Countries citing papers authored by H. Yu
This map shows the geographic impact of H. Yu'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 H. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Yu more than expected).
Fields of papers citing papers by H. Yu
This network shows the impact of papers produced by H. Yu. 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 H. Yu. The network helps show where H. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Yu, 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 | 2023 | 96 | |
| 2 | 2021 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2021 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2025 | 0 |
About H. Yu
H. Yu is a scholar working on Nuclear and High Energy Physics, Endocrine and Autonomic Systems, Computer Vision and Pattern Recognition, Physiology and Biochemistry, having authored 6 papers that have together received 104 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Astrophysics and Cosmic Phenomena (2 papers), Neutrino Physics Research (2 papers), High-Energy Particle Collisions Research (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (67 citations), Media Technology (14 citations), Health Informatics (2 citations), Computer Graphics and Computer-Aided Design (5 citations) and Biophysics (5 citations). H. Yu has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include D. Torbunov, Meifeng Lin, Yi Huang, Shinjae Yoo, Yihui Ren, Jin Huang, J. Huang, A. D. Frawley, J. D. Osborn and Michael Peters. Their work appears in journals such as Journal of Instrumentation, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Physical review. C, SHILAP Revista de lepidopterología and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.