Jingjing Li
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Automotive Engineering top 2%
- Topics
- Domain Adaptation and Few-Shot Learning (88 papers)Multimodal Machine Learning Applications (81 papers)Advanced Image and Video Retrieval Techniques (47 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEEScientific Reports
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jingjing Li
237 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 3.0k
- Artificial Intelligence 2.8k
- Electrical and Electronic Engineering 415
- Information Systems 401
- Automotive Engineering 345
Countries citing papers authored by Jingjing Li
This map shows the geographic impact of Jingjing Li'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 Jingjing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjing Li more than expected).
Fields of papers citing papers by Jingjing Li
This network shows the impact of papers produced by Jingjing Li. 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 Jingjing Li. The network helps show where Jingjing Li may publish in the future.
Co-authorship network of co-authors of Jingjing Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Li. A scholar is included among the top collaborators of Jingjing Li 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 Jingjing Li. Jingjing Li 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 | 1 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 26 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 69 | |
| 20 | 10 |
About Jingjing Li
Jingjing Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 249 papers that have together received 5.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (88 papers), Multimodal Machine Learning Applications (81 papers) and Advanced Image and Video Retrieval Techniques (47 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Artificial Intelligence (2.8k citations) and Computational Mathematics (18 citations). Jingjing Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lei Zhu, Ke Lü, Heng Tao Shen, Zi Huang, Mengmeng Jing, Zhiyong Cheng, Yang Yang, Zhekai Du, Huaxiang Zhang and Lei Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Scientific Reports.
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.