Da Cao
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Information Systems top 2%
- Recommender Systems and Techniques
Papers in
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- Multimodal Machine Learning Applications 22
- Video Analysis and Summarization 13
- Advanced Image and Video Retrieval Techniques 13
-
- Topic Modeling 7
- Domain Adaptation and Few-Shot Learning 5
- Advanced Graph Neural Networks 4
- Co-authors
- Xiangnan He (7 shared papers)Liqiang Nie (11 shared papers)Xiaochi Wei (6 shared papers)Chao Yang (2 shared papers)Richang Hong (2 shared papers)Tat‐Seng Chua (5 shared papers)Yahui An (1 shared paper)Zeng YaWen (9 shared papers)
- Journals
- Knowledge-Based Systems (6 papers)Information Sciences (3 papers)Expert Systems with Applications (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Da Cao
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 537
- Information Systems 503
- Computer Science Applications 100
- Artificial Intelligence 542
- Computational Mathematics 5
Countries citing papers authored by Da Cao
This map shows the geographic impact of Da Cao'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 Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Cao more than expected).
Fields of papers citing papers by Da Cao
This network shows the impact of papers produced by Da Cao. 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 Cao. The network helps show where Da Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Cao, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 201 | |
| 2 | 2020 | 108 | |
| 3 | 2017 | 104 | |
| 4 | 2019 | 94 | |
| 5 | 2017 | 85 | |
| 6 | 2021 | 65 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 49 | |
| 9 | 2019 | 45 | |
| 10 | 2016 | 34 | |
| 11 | 2019 | 28 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 25 | |
| 14 | 2022 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2018 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2019 | 13 |
About Da Cao
Da Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Science Applications and Computer Networks and Communications, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (22 papers), Video Analysis and Summarization (13 papers), Advanced Image and Video Retrieval Techniques (13 papers), Recommender Systems and Techniques (9 papers), Topic Modeling (7 papers), Online Learning and Analytics (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (537 citations), Information Systems (503 citations), Computer Science Applications (100 citations), Artificial Intelligence (542 citations) and Computational Mathematics (5 citations). Da Cao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiangnan He, Liqiang Nie, Xiaochi Wei, Chao Yang, Richang Hong, Tat‐Seng Chua, Yahui An, Zeng YaWen, Qi Tian and Meng Liu. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, Expert Systems with Applications, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Transactions on Neural Networks and Learning 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.