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 20
- Advanced Image and Video Retrieval Techniques 13
- Video Analysis and Summarization 11
- Image Retrieval and Classification Techniques 4
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- Online Learning and Analytics 5
- Co-authors
- Liqiang Nie (11 shared papers)Xiangnan He (7 shared papers)Xiaochi Wei (6 shared papers)Richang Hong (2 shared papers)Chao Yang (2 shared papers)Tat‐Seng Chua (5 shared papers)Yahui An (1 shared paper)Yawen Zeng (8 shared papers)
- Journals
- Knowledge-Based Systems (5 papers)Information Sciences (3 papers)Expert Systems with Applications (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Da Cao
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 488
- Information Systems 449
- Computer Science Applications 85
- Artificial Intelligence 491
- 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 181 | |
| 2 | 2020 | 102 | |
| 3 | 2017 | 92 | |
| 4 | 2019 | 82 | |
| 5 | 2017 | 79 | |
| 6 | 2021 | 60 | |
| 7 | 2019 | 47 | |
| 8 | 2019 | 42 | |
| 9 | 2018 | 41 | |
| 10 | 2016 | 32 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2019 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2022 | 12 |
About Da Cao
Da Cao is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications, Artificial Intelligence, Information Systems and Law, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (13 papers), Video Analysis and Summarization (11 papers), Recommender Systems and Techniques (8 papers), Topic Modeling (7 papers), Online Learning and Analytics (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (488 citations), Information Systems (449 citations), Computer Science Applications (85 citations), Artificial Intelligence (491 citations) and Computational Mathematics (5 citations). Da Cao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Liqiang Nie, Xiangnan He, Xiaochi Wei, Richang Hong, Chao Yang, Tat‐Seng Chua, Yahui An, Yawen Zeng, Qi Tian and Meng Liu. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and ACM Transactions on Multimedia Computing Communications and Applications.
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.