Haoze Sun
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Metaheuristic Optimization Algorithms Research
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
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- Multi-Criteria Decision Making
Papers in
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- Image and Signal Denoising Methods 3
- Generative Adversarial Networks and Image Synthesis 2
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- Natural Language Processing Techniques 1
- Co-authors
- Weidi Xu (3 shared papers)Ying Tan (3 shared papers)Chao Deng (3 shared papers)Chengguo Weng (1 shared paper)Lizhen Deng (2 shared papers)Hu Zhu (2 shared papers)Peng Jiang (2 shared papers)Yuexiang Jiang (2 shared papers)
In The Last Decade
Haoze Sun
13 papers receiving 249 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 147
- Management Science and Operations Research 47
- Computer Vision and Pattern Recognition 67
- Computational Mathematics 1
- Signal Processing 17
Countries citing papers authored by Haoze Sun
This map shows the geographic impact of Haoze Sun'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 Haoze Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoze Sun more than expected).
Fields of papers citing papers by Haoze Sun
This network shows the impact of papers produced by Haoze Sun. 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 Haoze Sun. The network helps show where Haoze Sun may publish in the future.
Co-authors
The 23 scholars most cited alongside Haoze Sun, 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 | 2017 | 125 | |
| 2 | 2018 | 55 | |
| 3 | 2018 | 47 | |
| 4 | 2018 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2016 | 4 | |
| 7 | 2019 | 3 | |
| 8 | 2016 | 3 | |
| 9 | 2018 | 2 | |
| 10 | 2013 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 0 |
About Haoze Sun
Haoze Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Finance and Management Science and Operations Research, having authored 15 papers that have together received 258 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Statistical Methods and Inference (2 papers), Financial Risk and Volatility Modeling (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Natural Language Processing Techniques (1 paper) and Water Quality Monitoring Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (147 citations), Management Science and Operations Research (47 citations), Computer Vision and Pattern Recognition (67 citations), Computational Mathematics (1 citation) and Signal Processing (17 citations). Haoze Sun has collaborated with scholars based in China, Canada and Macao. Frequent co-authors include Weidi Xu, Ying Tan, Chao Deng, Chengguo Weng, Lizhen Deng, Hu Zhu, Peng Jiang, Yuexiang Jiang, Junwei Chen and Qingshan She. Their work appears in journals such as Information Sciences, Insurance Mathematics and Economics, Biomedical Signal Processing and Control, Applied Soft Computing and Sensors.
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.