Zilong Liu
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- Neuroscience of respiration and sleep 10
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- Image and Signal Denoising Methods 13
- Chaos-based Image/Signal Encryption 8
- Advanced Steganography and Watermarking Techniques 8
- Cancer Research top 10%
- Media Technology top 5%
- Advanced Image Fusion Techniques 11
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- Photonic and Optical Devices 16
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- Obstructive Sleep Apnea Research 11
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- Semantic Web and Ontologies 9
- Journals
- SHILAP Revista de lepidopterología (5 papers)Applied Physics Letters (1 paper)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zilong Liu
177 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 185
- Endocrine and Autonomic Systems 139
- Computer Vision and Pattern Recognition 335
- Cancer Research 235
- Media Technology 125
- Computational Mathematics 7
Countries citing papers authored by Zilong Liu
This map shows the geographic impact of Zilong Liu'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 Zilong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zilong Liu more than expected).
Fields of papers citing papers by Zilong Liu
This network shows the impact of papers produced by Zilong Liu. 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 Zilong Liu. The network helps show where Zilong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zilong Liu, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 20 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 2 | |
| 17 | Stable Chronic Obstructive Pulmonary Disease (COPD) Management Under a Tiered Medical System in China | 2022 | 9 |
| 18 | 2020 | 15 | |
| 19 | 2020 | 0 | |
| 20 | Extended Supervised Locality Preserving Projection Based on QR Decomposition | 2010 | 1 |
About Zilong Liu
Zilong Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 196 papers that have together received 2.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (16 papers), Image and Signal Denoising Methods (13 papers), Advanced Image Fusion Techniques (11 papers), Obstructive Sleep Apnea Research (11 papers), Neuroscience of respiration and sleep (10 papers), Semantic Web and Ontologies (9 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Steganography and Watermarking Techniques (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (139 citations), Computer Vision and Pattern Recognition (335 citations) and Cancer Research (235 citations). Zilong Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shanqun Li, Jin Li, Liyan Jiang, Chi‐Man Pun, Cuiping Fu, Xu Wu, Wenyu Gu, Shengyu Hao, Liang Xie and Huifu Xiao. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.
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.