Daqing Liu
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Multimodal Machine Learning Applications 11
- Advanced Image and Video Retrieval Techniques 7
- Human Pose and Action Recognition 4
- Generative Adversarial Networks and Image Synthesis 4
- Image Retrieval and Classification Techniques 2
-
- Domain Adaptation and Few-Shot Learning 10
- Co-authors
- Hanwang Zhang (5 shared papers)Zheng-Jun Zha (4 shared papers)Feng Wu (2 shared papers)Feng Wu (1 shared paper)Yongdong Zhang (1 shared paper)Xiangnan He (1 shared paper)Xiaoyu Mo (1 shared paper)Richang Hong (1 shared paper)
In The Last Decade
Daqing Liu
20 papers receiving 820 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 533
- Artificial Intelligence 292
- Computer Graphics and Computer-Aided Design 19
- Genetics 36
- Surgery 106
Countries citing papers authored by Daqing Liu
This map shows the geographic impact of Daqing 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 Daqing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqing Liu more than expected).
Fields of papers citing papers by Daqing Liu
This network shows the impact of papers produced by Daqing 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 Daqing Liu. The network helps show where Daqing Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqing 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 180 | |
| 2 | 2019 | 119 | |
| 3 | 2019 | 116 | |
| 4 | 2007 | 102 | |
| 5 | 2020 | 91 | |
| 6 | 2008 | 39 | |
| 7 | 2005 | 39 | |
| 8 | 2023 | 38 | |
| 9 | 2009 | 35 | |
| 10 | 2022 | 25 | |
| 11 | 2023 | 19 | |
| 12 | 2010 | 14 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 2 | |
| 16 | Explainability by Parsing: Neural Module Tree Networks for Natural Language Visual Grounding. | 2018 | 2 |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2014 | 1 |
About Daqing Liu
Daqing Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Surgery and Cell Biology, having authored 22 papers that have together received 836 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Human Pose and Action Recognition (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Pancreatic function and diabetes (2 papers), Image Retrieval and Classification Techniques (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (533 citations), Artificial Intelligence (292 citations), Computer Graphics and Computer-Aided Design (19 citations), Genetics (36 citations) and Surgery (106 citations). Daqing Liu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Hanwang Zhang, Zheng-Jun Zha, Feng Wu, Feng Wu, Yongdong Zhang, Xiangnan He, Xiaoyu Mo, Richang Hong, Meng Wang and Xuetao Pei. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Gene, Cancer Letters and Journal of Cellular Physiology.
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.