Huaigu Cao
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Computer Graphics and Computer-Aided Design top 5%
- Signal Processing
- Co-authors
- Prem NatarajanVenu GovindarajuRohit PrasadXiaoqing DingChangsong LiuXujun PengAnurag BhardwajKrishna Subramanian
- Topics
- Handwritten Text Recognition Techniques (44 papers)Image Retrieval and Classification Techniques (17 papers)Natural Language Processing Techniques (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInternational Journal on Document Analysis and Recognition (IJDAR)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Huaigu Cao
45 papers receiving 573 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 595
- Artificial Intelligence 185
- Media Technology 150
- Computer Graphics and Computer-Aided Design 47
- Signal Processing 22
Countries citing papers authored by Huaigu Cao
This map shows the geographic impact of Huaigu 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 Huaigu Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaigu Cao more than expected).
Fields of papers citing papers by Huaigu Cao
This network shows the impact of papers produced by Huaigu 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 Huaigu Cao. The network helps show where Huaigu Cao may publish in the future.
Co-authorship network of co-authors of Huaigu Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Huaigu Cao. A scholar is included among the top collaborators of Huaigu 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 Huaigu Cao. Huaigu 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 | 17 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 22 | |
| 10 | 47 | |
| 11 | 27 | |
| 12 | 28 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | 52 |
About Huaigu Cao
Huaigu Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 48 papers that have together received 626 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (44 papers), Image Retrieval and Classification Techniques (17 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (595 citations), Media Technology (150 citations) and Computer Graphics and Computer-Aided Design (47 citations). Huaigu Cao has collaborated with scholars based in United States, China and India. Frequent co-authors include Prem Natarajan, Venu Govindaraju, Rohit Prasad, Xiaoqing Ding, Changsong Liu, Xujun Peng, Anurag Bhardwaj, Krishna Subramanian, Jin Chen and Stephen Rawls. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal on Document Analysis and Recognition (IJDAR).
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.