Chenjie Cao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 10%
- Topics
- Generative Adversarial Networks and Image Synthesis (6 papers)Advanced Vision and Imaging (5 papers)Imbalanced Data Classification Techniques (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Neural Networks and Learning SystemsNeural Networks
- Partner nations
- ChinaCayman IslandsUnited States
In The Last Decade
Chenjie Cao
19 papers receiving 456 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 266
- Artificial Intelligence 180
- Electrical and Electronic Engineering 55
- Computer Graphics and Computer-Aided Design 46
- Media Technology 33
Countries citing papers authored by Chenjie Cao
This map shows the geographic impact of Chenjie 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 Chenjie Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenjie Cao more than expected).
Fields of papers citing papers by Chenjie Cao
This network shows the impact of papers produced by Chenjie 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 Chenjie Cao. The network helps show where Chenjie Cao may publish in the future.
Co-authorship network of co-authors of Chenjie Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Chenjie Cao. A scholar is included among the top collaborators of Chenjie 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 Chenjie Cao. Chenjie 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 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 116 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 38 | |
| 13 | SiBert: Enhanced Chinese Pre-trained Language Model with Sentence Insertion | 2 |
| 14 | 86 | |
| 15 | 26 | |
| 16 | 13 | |
| 17 | 38 | |
| 18 | 26 | |
| 19 | 3 | |
| 20 | 32 |
About Chenjie Cao
Chenjie Cao is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 467 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Vision and Imaging (5 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (46 citations), Computer Vision and Pattern Recognition (266 citations) and Artificial Intelligence (180 citations). Chenjie Cao has collaborated with scholars based in China, Cayman Islands and United States. Frequent co-authors include Yanwei Fu, Zhe Wang, Yujin Zhu, Dongdong Li, Xiangyang Xue, Chao Wen, Yinda Zhang, Zhuwen Li, Xinlei Xu and Yu–Gang Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.
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.