Juan Cao
- Sociology and Political Science top 0.5%
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Ecology top 2%
- Topics
- Misinformation and Its Impacts (27 papers)Remote Sensing in Agriculture (21 papers)Advanced Image and Video Retrieval Techniques (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Juan Cao
128 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Sociology and Political Science 2.0k
- Artificial Intelligence 1.8k
- Information Systems 1.5k
- Computer Vision and Pattern Recognition 1.0k
- Ecology 998
Countries citing papers authored by Juan Cao
This map shows the geographic impact of Juan 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 Juan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Cao more than expected).
Fields of papers citing papers by Juan Cao
This network shows the impact of papers produced by Juan 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 Juan Cao. The network helps show where Juan Cao may publish in the future.
Co-authorship network of co-authors of Juan Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Cao. A scholar is included among the top collaborators of Juan Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan Cao. Juan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 36 | |
| 12 | 16 | |
| 13 | 26 | |
| 14 | Rumor Detection on Twitter Pertaining to the 2016 U.S. Presidential Election. | 2 |
| 15 | MCG-ICT at MediaEval 2016 Verifying Tweets from both Text and Visual Content. | 3 |
| 16 | MCG-ICT at MediaEval 2015: Verifying Multimedia Use with a Two-Level Classification Model | 11 |
| 17 | 5 | |
| 18 | Study on Virtual Reality | 1 |
| 19 | Known-Item Search by MCG-ICT-CAS. | 1 |
| 20 | TRECVID 2007 Search Tasks by NUS-ICT | 6 |
About Juan Cao
Juan Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Acoustics and Ultrasonics, having authored 136 papers that have together received 5.7k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (27 papers), Remote Sensing in Agriculture (21 papers) and Advanced Image and Video Retrieval Techniques (20 papers). The work is most often cited by research in Information Systems (1.5k citations), Artificial Intelligence (1.8k citations) and Computer Vision and Pattern Recognition (1.0k citations). Juan Cao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yongdong Zhang, Zhiwei Jin, Zhao Zhang, Sheng Tang, Yuchuan Luo, Jiebo Luo, Fulu Tao, Jintao Li, Jichong Han and Han Guo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.
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.