Jiaming Liu
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
- Atmospheric Science top 10%
- Precipitation Measurement and Analysis
Papers in
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- Advanced Neural Network Applications 10
- Advanced Vision and Imaging 4
- Video Surveillance and Tracking Methods 3
- Generative Adversarial Networks and Image Synthesis 3
- Multimodal Machine Learning Applications 3
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- 3D Shape Modeling and Analysis 9
- Co-authors
- Qinli Yang (1 shared paper)Guoqing Wang (1 shared paper)Maoguo Gong (9 shared papers)Wenping Ma (8 shared papers)Yue Wu (7 shared papers)Shanghang Zhang (9 shared papers)Jue Wang (2 shared papers)Haibin Huang (2 shared papers)
- Journals
- IEEE Transactions on Multimedia (3 papers)Sustainability (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)IEEE Transactions on Intelligent Vehicles (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiaming Liu
40 papers receiving 829 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 384
- Atmospheric Science 104
- Computational Mechanics 115
- Automotive Engineering 47
- Environmental Engineering 48
Countries citing papers authored by Jiaming Liu
This map shows the geographic impact of Jiaming 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 Jiaming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Liu more than expected).
Fields of papers citing papers by Jiaming Liu
This network shows the impact of papers produced by Jiaming 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 Jiaming Liu. The network helps show where Jiaming Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 168 | |
| 2 | 2020 | 90 | |
| 3 | 2022 | 54 | |
| 4 | 2023 | 50 | |
| 5 | 2021 | 46 | |
| 6 | 2022 | 46 | |
| 7 | 2024 | 39 | |
| 8 | 2023 | 37 | |
| 9 | 2019 | 33 | |
| 10 | 2022 | 31 | |
| 11 | 2023 | 27 | |
| 12 | 2021 | 24 | |
| 13 | 2025 | 23 | |
| 14 | 2019 | 20 | |
| 15 | 2024 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2023 | 10 |
About Jiaming Liu
Jiaming Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Geology and Aerospace Engineering, having authored 46 papers that have together received 848 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), 3D Shape Modeling and Analysis (9 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced SAR Imaging Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Atmospheric Science (104 citations), Computational Mechanics (115 citations), Automotive Engineering (47 citations) and Environmental Engineering (48 citations). Jiaming Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qinli Yang, Guoqing Wang, Maoguo Gong, Wenping Ma, Yue Wu, Shanghang Zhang, Jue Wang, Haibin Huang, YiquN Liu and Yuzhi Wang. Their work appears in journals such as IEEE Transactions on Multimedia, Sustainability, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Intelligent Vehicles.
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.