Da Li
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 11
- Co-authors
- Timothy M. Hospedales (10 shared papers)Yi-Zhe Song (10 shared papers)Yongxin Yang (4 shared papers)Cong Liu (1 shared paper)Jianshu Zhang (1 shared paper)Jan Stühmer (1 shared paper)Minyoung Kim (1 shared paper)Shell Xu Hu (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (5 papers)The Science of The Total Environment (1 paper)Bioresource Technology (1 paper)Membranes (1 paper)Molecular Catalysis (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Da Li
19 papers receiving 1.3k citations
Da Li's Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 728
- Artificial Intelligence 823
- Media Technology 74
- Signal Processing 55
- Cancer Research 67
Countries citing papers authored by Da Li
This map shows the geographic impact of Da Li'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 Da Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Li more than expected).
Fields of papers citing papers by Da Li
This network shows the impact of papers produced by Da Li. 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 Da Li. The network helps show where Da Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Li, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning to Generalize: Meta-Learning for Domain Generalization Hit paper breakdown → | 2018 | 718 |
| 2 | 2019 | 252 | |
| 3 | 2022 | 105 | |
| 4 | 2011 | 41 | |
| 5 | 2022 | 39 | |
| 6 | 2023 | 31 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 24 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2012 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Da Li
Da Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Water Science and Technology, Radiology, Nuclear Medicine and Imaging and Environmental Engineering, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (9 papers), Advanced Neural Network Applications (7 papers), Membrane Separation Technologies (3 papers), Microbial Fuel Cells and Bioremediation (3 papers), COVID-19 diagnosis using AI (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Solar-Powered Water Purification Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (728 citations), Artificial Intelligence (823 citations), Media Technology (74 citations), Signal Processing (55 citations) and Cancer Research (67 citations). Da Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Timothy M. Hospedales, Yi-Zhe Song, Yongxin Yang, Cong Liu, Jianshu Zhang, Jan Stühmer, Minyoung Kim, Shell Xu Hu, Tao Xiang and Yu Liu. Their work appears in journals such as IEEE Transactions on Image Processing, The Science of The Total Environment, Bioresource Technology, Membranes and Molecular Catalysis.
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.