Haozhe Chi
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
Papers in
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- Video Surveillance and Tracking Methods 1
- Human Pose and Action Recognition 1
- Advanced Neural Network Applications 1
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- Sentiment Analysis and Opinion Mining 1
- Advanced Text Analysis Techniques 1
- AI in cancer detection 1
- Co-authors
- Jiongquan Chen (1 shared paper)Junxuan Yu (1 shared paper)Xindi Hu (1 shared paper)Sijing Liu (1 shared paper)Lian Liu (1 shared paper)Yuhao Huang (1 shared paper)Kejuan Yue (1 shared paper)Rusi Chen (1 shared paper)
- Journals
- International Journal of Remote Sensing (1 paper)Medical Image Analysis (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Haozhe Chi
3 papers receiving 268 citations
Haozhe Chi's Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 134
- Health Informatics 8
- Neurology 26
- Radiology, Nuclear Medicine and Imaging 69
- Artificial Intelligence 77
Countries citing papers authored by Haozhe Chi
This map shows the geographic impact of Haozhe Chi'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 Haozhe Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haozhe Chi more than expected).
Fields of papers citing papers by Haozhe Chi
This network shows the impact of papers produced by Haozhe Chi. 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 Haozhe Chi. The network helps show where Haozhe Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Haozhe Chi, 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 | Segment anything model for medical images? Hit paper breakdown → | 2023 | 238 |
| 2 | 2024 | 35 | |
| 3 | 2022 | 1 | |
| 4 | 2025 | 0 |
About Haozhe Chi
Haozhe Chi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Infectious Diseases, having authored 4 papers that have together received 274 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (1 paper), Retinal Imaging and Analysis (1 paper), Video Surveillance and Tracking Methods (1 paper), Advanced Text Analysis Techniques (1 paper), Synthetic Aperture Radar (SAR) Applications and Techniques (1 paper), AI in cancer detection (1 paper), Human Pose and Action Recognition (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Health Informatics (8 citations), Neurology (26 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Artificial Intelligence (77 citations). Haozhe Chi has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jiongquan Chen, Junxuan Yu, Xindi Hu, Sijing Liu, Lian Liu, Yuhao Huang, Kejuan Yue, Rusi Chen, Xin Yang and Fajin Dong. Their work appears in journals such as International Journal of Remote Sensing, Medical Image Analysis and Rare & Special e-Zone (The Hong Kong University of 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.