Jiayi Ji
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Computational Mechanics
- Media Technology top 10%
- Molecular Biology
- Topics
- Multimodal Machine Learning Applications (17 papers)Advanced Image and Video Retrieval Techniques (11 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Jiayi Ji
31 papers receiving 831 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 749
- Artificial Intelligence 305
- Computational Mechanics 27
- Media Technology 27
- Molecular Biology 25
Countries citing papers authored by Jiayi Ji
This map shows the geographic impact of Jiayi Ji'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 Jiayi Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayi Ji more than expected).
Fields of papers citing papers by Jiayi Ji
This network shows the impact of papers produced by Jiayi Ji. 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 Jiayi Ji. The network helps show where Jiayi Ji may publish in the future.
Co-authorship network of co-authors of Jiayi Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Jiayi Ji. A scholar is included among the top collaborators of Jiayi Ji 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 Jiayi Ji. Jiayi Ji 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 | 9 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 28 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 71 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | Variational Structured Semantic Inference for Diverse Image Captioning | 13 |
| 20 | The Numerical Distribution of Storks and Cranes in Shandong province | 1 |
About Jiayi Ji
Jiayi Ji is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 38 papers that have together received 842 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (17 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (749 citations), Artificial Intelligence (305 citations) and Computer Graphics and Computer-Aided Design (20 citations). Jiayi Ji has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Xiaoshuai Sun, Rongrong Ji, Yongjian Wu, Yunpeng Luo, Feiyue Huang, Yiyi Zhou, Yiwei Ma, Liujuan Cao, Chia‐Wen Lin and Xuying Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.