Yueming Ding
Impact in
- Artificial Intelligence top 10%
- Advanced Technologies in Various Fields
- Domain Adaptation and Few-Shot Learning
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Face recognition and analysis 2
- Video Surveillance and Tracking Methods 2
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- Domain Adaptation and Few-Shot Learning 3
- Solar Radiation and Photovoltaics 2
- Co-authors
- Wenfeng Zheng (4 shared papers)Lirong Yin (4 shared papers)Siyu Lu (2 shared papers)Mingzhe Liu (2 shared papers)Zhengtong Yin (2 shared papers)Shan Liu (2 shared papers)Tian Xia (2 shared papers)Bo Yang (2 shared papers)
- Journals
- Neural Computing and Applications (1 paper)Applied Sciences (1 paper)Multimedia Tools and Applications (1 paper)Applied Energy (1 paper)International Journal of Computational Intelligence Systems (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yueming Ding
7 papers receiving 317 citations
Yueming Ding's Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 143
- Computer Vision and Pattern Recognition 85
- Management Science and Operations Research 28
- Media Technology 15
- Health Informatics 2
Countries citing papers authored by Yueming Ding
This map shows the geographic impact of Yueming Ding'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 Yueming Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueming Ding more than expected).
Fields of papers citing papers by Yueming Ding
This network shows the impact of papers produced by Yueming Ding. 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 Yueming Ding. The network helps show where Yueming Ding may publish in the future.
Co-authors
The 14 scholars most cited alongside Yueming Ding, 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 | Multiscale Feature Extraction and Fusion of Image and Text in VQA Hit paper breakdown → | 2023 | 171 |
| 2 | 2022 | 91 | |
| 3 | 2019 | 42 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 |
About Yueming Ding
Yueming Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 8 papers that have together received 328 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Face recognition and analysis (2 papers), Video Surveillance and Tracking Methods (2 papers), Solar Radiation and Photovoltaics (2 papers), 3D Shape Modeling and Analysis (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Artificial Intelligence (143 citations), Computer Vision and Pattern Recognition (85 citations), Management Science and Operations Research (28 citations), Media Technology (15 citations) and Health Informatics (2 citations). Yueming Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenfeng Zheng, Lirong Yin, Siyu Lu, Mingzhe Liu, Zhengtong Yin, Shan Liu, Tian Xia, Bo Yang, Jiawei Tian and Xiaobing Chen. Their work appears in journals such as Neural Computing and Applications, Applied Sciences, Multimedia Tools and Applications, Applied Energy and International Journal of Computational Intelligence Systems.
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.