Hongying Liu
- Media Technology top 0.5%
- Remote-Sensing Image Classification 29
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- Digital Imaging for Blood Diseases 13
- Biophysics top 5%
- Atmospheric Science top 5%
- Remote Sensing and Land Use 9
- Aerospace Engineering top 2%
- Synthetic Aperture Radar (SAR) Applications and Techniques 24
- Advanced SAR Imaging Techniques 21
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- Sparse and Compressive Sensing Techniques 21
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- Soil Moisture and Remote Sensing 10
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- Stochastic Gradient Optimization Techniques 10
- Co-authors
- Licheng JiaoShuyuan YangQingli LiFanhua ShangXianghai CaoShuang WangXiangrong ZhangYi‐Ting Wang
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hongying Liu
148 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Media Technology 773
- Computer Vision and Pattern Recognition 628
- Biophysics 106
- Atmospheric Science 315
- Aerospace Engineering 432
Countries citing papers authored by Hongying Liu
This map shows the geographic impact of Hongying 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 Hongying Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongying Liu more than expected).
Fields of papers citing papers by Hongying Liu
This network shows the impact of papers produced by Hongying 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 Hongying Liu. The network helps show where Hongying Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongying 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 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 1 | |
| 12 | Principal Component Analysis in the Stochastic Differential Privacy Model | 2021 | 1 |
| 13 | 2020 | 27 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 13 | |
| 16 | 2018 | 43 | |
| 17 | 2017 | 110 | |
| 18 | Physical Education and Teaching | 2005 | 2 |
| 19 | An Hierarchical Interactive Decision Making Method for Bilevel Programming | 2005 | 1 |
| 20 | A Note on Bilevel Linear Price Control Problem | 1999 | 2 |
About Hongying Liu
Hongying Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 157 papers that have together received 1.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (29 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers), Sparse and Compressive Sensing Techniques (21 papers), Advanced SAR Imaging Techniques (21 papers), Digital Imaging for Blood Diseases (13 papers), Soil Moisture and Remote Sensing (10 papers), Stochastic Gradient Optimization Techniques (10 papers) and Remote Sensing and Land Use (9 papers). The work is most often cited by research in Media Technology (773 citations), Computer Vision and Pattern Recognition (628 citations) and Biophysics (106 citations). Hongying Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Licheng Jiao, Shuyuan Yang, Qingli Li, Fanhua Shang, Xianghai Cao, Shuang Wang, Xiangrong Zhang, Yi‐Ting Wang, Huan Chen and Miaomiao Liang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.
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.