Zhao Cao
- Information Systems top 5%
- Information Retrieval and Search Behavior 4
- Expert finding and Q&A systems 3
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Topic Modeling 24
- Natural Language Processing Techniques 12
- Domain Adaptation and Few-Shot Learning 4
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- Multimodal Machine Learning Applications 13
- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 4
- Co-authors
- Han LiuBill RoscoeZhong ChenChao LiuBangdao ChenZheng LiuYingxia ShaoYanlei Diao
- Journals
- Chemical Engineering Journal (1 paper)Clinica Chimica Acta (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zhao Cao
42 papers receiving 413 citations
Peers
Comparison fields: 5 of 67
- Information Systems 214
- Signal Processing 76
- Artificial Intelligence 200
- Computer Vision and Pattern Recognition 109
- Computer Networks and Communications 61
Countries citing papers authored by Zhao Cao
This map shows the geographic impact of Zhao 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 Zhao Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Cao more than expected).
Fields of papers citing papers by Zhao Cao
This network shows the impact of papers produced by Zhao 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 Zhao Cao. The network helps show where Zhao Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 33 | |
| 20 | 2022 | 3 |
About Zhao Cao
Zhao Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 46 papers that have together received 425 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Multimodal Machine Learning Applications (13 papers), Natural Language Processing Techniques (12 papers), Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Information Retrieval and Search Behavior (4 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Information Systems (214 citations), Signal Processing (76 citations) and Artificial Intelligence (200 citations). Zhao Cao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Han Liu, Bill Roscoe, Zhong Chen, Chao Liu, Bangdao Chen, Zheng Liu, Yingxia Shao, Yanlei Diao, Prashant Shenoy and Zhicheng Dou. Their work appears in journals such as Chemical Engineering Journal, Clinica Chimica Acta and IEEE Transactions on Knowledge and Data Engineering.
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.