Yujuan Ding
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Generative Adversarial Networks and Image Synthesis 8
- Advanced Image and Video Retrieval Techniques 7
- Video Surveillance and Tracking Methods 4
- Image Retrieval and Classification Techniques 4
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- Recommender Systems and Techniques 6
- Co-authors
- Tat‐Seng Chua (8 shared papers)Wenqi Fan (4 shared papers)Qing Li (4 shared papers)Liangbo Ning (3 shared papers)Shijie Wang (1 shared paper)Wai Keung Wong (5 shared papers)Dawei Yin (1 shared paper)Hengyun Li (1 shared paper)
In The Last Decade
Yujuan Ding
23 papers receiving 462 citations
Yujuan Ding's Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 200
- Health Informatics 7
- Artificial Intelligence 167
- Museology 13
- Information Systems 83
Countries citing papers authored by Yujuan Ding
This map shows the geographic impact of Yujuan 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 Yujuan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujuan Ding more than expected).
Fields of papers citing papers by Yujuan Ding
This network shows the impact of papers produced by Yujuan 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 Yujuan Ding. The network helps show where Yujuan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yujuan 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models Hit paper breakdown → | 2024 | 183 |
| 2 | 2019 | 45 | |
| 3 | 2020 | 35 | |
| 4 | 2021 | 33 | |
| 5 | 2017 | 22 | |
| 6 | 2023 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2024 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2025 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 3 |
About Yujuan Ding
Yujuan Ding is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computational Mechanics and Marketing, having authored 24 papers that have together received 482 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Recommender Systems and Techniques (6 papers), 3D Shape Modeling and Analysis (4 papers), Topic Modeling (4 papers), Video Surveillance and Tracking Methods (4 papers), Image Retrieval and Classification Techniques (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Health Informatics (7 citations), Artificial Intelligence (167 citations), Museology (13 citations) and Information Systems (83 citations). Yujuan Ding has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Tat‐Seng Chua, Wenqi Fan, Qing Li, Liangbo Ning, Shijie Wang, Wai Keung Wong, Dawei Yin, Hengyun Li, Yi Bin and Zhihui Lai. Their work appears in journals such as IEEE Transactions on Multimedia, Information Processing & Management, IEEE Transactions on Circuits and Systems for Video Technology, ACM Computing Surveys and Applied Sciences.
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.