Haiyang Wu
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- Advanced Steganography and Watermarking Techniques 4
- Chaos-based Image/Signal Encryption 3
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 3
- Artificial Intelligence top 10%
- Topic Modeling 5
- Text and Document Classification Technologies 4
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- Software-Defined Networks and 5G 3
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- Recommender Systems and Techniques 3
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- Gaze Tracking and Assistive Technology 2
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (1 paper)Electrochimica Acta (1 paper)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haiyang Wu
17 papers receiving 564 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 470
- Acoustics and Ultrasonics 10
- Computational Mechanics 76
- Statistical and Nonlinear Physics 45
- Artificial Intelligence 116
Countries citing papers authored by Haiyang Wu
This map shows the geographic impact of Haiyang Wu'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 Haiyang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Wu more than expected).
Fields of papers citing papers by Haiyang Wu
This network shows the impact of papers produced by Haiyang Wu. 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 Haiyang Wu. The network helps show where Haiyang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haiyang Wu, 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 | 2025 | 11 | |
| 3 | 2025 | 6 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 143 | |
| 14 | 2020 | 79 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 200 | |
| 17 | Generating recommendation evidence using translation model | 2016 | 6 |
| 18 | 2016 | 35 | |
| 19 | 2015 | 17 | |
| 20 | (IEE Proceedings Vision, Image and Signal Processing, 152(5):611-615)Image Steganographic Scheme Based on Pixel-Value Differencing and LSB Replacement | 2005 | 52 |
About Haiyang Wu
Haiyang Wu is a scholar working on Human-Computer Interaction, Media Technology and Artificial Intelligence, having authored 24 papers that have together received 583 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Text and Document Classification Technologies (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Software-Defined Networks and 5G (3 papers), Chaos-based Image/Signal Encryption (3 papers), Recommender Systems and Techniques (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Acoustics and Ultrasonics (10 citations) and Computational Mechanics (76 citations). Haiyang Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yushu Zhang, Zhihua Gan, Yiran Chen, Xiuli Chai, Xiuli Chai, Kent W. Nixon, Daojun Han, Haifeng Wang, Hua Wu and Wei He. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Electrochimica Acta and Information Sciences.
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.