Ligong Han
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
- Medical Image Segmentation Techniques 3
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Video Analysis and Summarization 3
- Advanced Vision and Imaging 2
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Dimitris Metaxas (9 shared papers)Jian Ren (2 shared papers)Yinxiao Li (1 shared paper)Peyman Milanfar (1 shared paper)Feng Yang (1 shared paper)Han Zhang (1 shared paper)Marios Savvides (2 shared papers)Hsin-Ying Lee (1 shared paper)
- Journals
- Pattern Recognition (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)PubMed (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Ligong Han
15 papers receiving 272 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 48
- Computer Vision and Pattern Recognition 207
- Health Informatics 4
- Artificial Intelligence 58
- Signal Processing 13
Countries citing papers authored by Ligong Han
This map shows the geographic impact of Ligong Han'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 Ligong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ligong Han more than expected).
Fields of papers citing papers by Ligong Han
This network shows the impact of papers produced by Ligong Han. 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 Ligong Han. The network helps show where Ligong Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ligong Han, 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 | 2023 | 86 | |
| 2 | 2023 | 76 | |
| 3 | 2022 | 30 | |
| 4 | 2018 | 17 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 10 | |
| 8 | Unsupervised Domain Adaptation via Calibrating Uncertainties | 2019 | 7 |
| 9 | 2022 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Ligong Han
Ligong Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Rehabilitation and Computational Mechanics, having authored 19 papers that have together received 278 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Medical Image Segmentation Techniques (3 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Video Analysis and Summarization (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Computer Vision and Pattern Recognition (207 citations), Health Informatics (4 citations), Artificial Intelligence (58 citations) and Signal Processing (13 citations). Ligong Han has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Dimitris Metaxas, Jian Ren, Yinxiao Li, Peyman Milanfar, Feng Yang, Han Zhang, Marios Savvides, Hsin-Ying Lee, Kyle Olszewski and Ngan Le. Their work appears in journals such as Pattern Recognition, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the AAAI Conference on Artificial Intelligence, PubMed and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.